Next Article in Journal
Navigating the Sea of Data: A Comprehensive Review on Data Analysis in Maritime IoT Applications
Previous Article in Journal
The Failure Law and Combined Support Technology of Roadways with Weak Surrounding Rock in Deep Wells
Previous Article in Special Issue
Seismic Risk Analysis of Offshore Bridges Considering Seismic Correlation between Vulnerable Components
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effective Equations for the Optimum Seismic Gap Preventing Earthquake-Induced Pounding between Adjacent Buildings Founded on Different Soil Types

Faculty of Civil and Environmental Engineering, Gdańsk University of Technology, Ul. Narutowicza 11/12, 80-233 Gdańsk, Poland
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(17), 9741; https://doi.org/10.3390/app13179741
Submission received: 9 August 2023 / Revised: 21 August 2023 / Accepted: 23 August 2023 / Published: 28 August 2023
(This article belongs to the Special Issue Geotechnical Earthquake Engineering: Current Progress and Road Ahead)

Abstract

:
The best approach to avoid collisions between adjacent structures during earthquakes is to provide sufficient spacing between them. However, the existing formulas for calculating the optimum seismic gap preventing pounding were found to provide inaccurate results upon the consideration of different soil types. The aim of this paper is to propose new equations for the evaluation of the sufficient in-between separation gap for buildings founded on different soil conditions. The double-difference formula has been taken into account in this study. The seismic gap depends on the correlation factor and on the top displacements of adjacent buildings. The correlation factor depends on the ratio of the periods of adjacent buildings (smaller period to larger period). The modification of the correlation factor has been introduced for buildings founded on five different soil types. Five soil types were taken into account in this study, as defined in the ASCE 7-10 code, i.e., hard rock, rock, very dense soil and soft rock, stiff soil, and soft clay soil. The normalized root mean square errors have been calculated for the proposed equations. The results of the study indicate that the error ranges between 2% and 14%, confirming the accuracy of the approach. Therefore, the proposed equations can be effectively used for the determination of the optimum seismic gap preventing earthquake-induced pounding between buildings founded on different soil types.

1. Introduction

One of the most dangerous phenomena occurring during earthquakes is related to the earthquake-induced structural pounding, which may have a significant effect on the response of colliding buildings [1,2,3,4] as well as on the damage state [5]. Structural pounding has been observed in different earthquakes. For instance, in the Mexico earthquake (1985), 40% of the damaged buildings experienced pounding, and, in 15% of the severely damaged or collapsed structures, pounding was found [6], where, in 20–30% of them, collisions could be the major reason of damage [7]. Indeed, in the Loma Prieta earthquake, pounding was experienced in 200 out of 500 surveyed buildings [8]. Moreover, collisions were also observed in recent earthquakes, such as in Lorca (Spain 2001) [9], Wenchuan (Sichuan Province in China in 2008) [10], Christchurch (New Zealand 2010) [11,12], Christchurch (2011) [13,14], and Gorkha (Nepal 2015) [15,16,17,18,19,20].
The research on earthquake-induced structural pounding, as well as on different methods to prevent it, has been conducted for more than three decades (see, for example, [21,22]). Pounding leads to the amplification in the peak interstorey drift (IDR), residual IDR, floor peak accelerations, shear forces, and impact forces, while the displacements may increase or decrease [23,24,25,26,27]. This amplification is significant in the direction of pounding and insignificant in the other directions [28]. The degree of amplification depends on the dynamic properties of colliding buildings, and this amplification is more significant when there is a major difference in the dynamic properties of colliding structures [1,29]. Also, the impact force depends on the earthquake characteristics as well as on the relation between the natural frequencies of the colliding buildings [30]. Indeed, in some studies [31,32], pounding was found to have a greater effect on the response of the flexible structure, as compared to the stiff one, and it was found to have a greater effect on the response of the stiff structure, as compared to the flexible one, in other studies [33]. Furthermore, using the Monte Carlo simulations based on Sobol’s method, Crozet et al. [34,35] found that the frequency ratio had the largest influence on the maximum impact force and ductility demands while the frequency and mass ratios had the largest influence on the impact impulse (mass ratio is predominant for low frequency range).
The in-between seismic gap has a significant influence on the response of colliding buildings. However, increasing the seismic gap does not necessarily lead to the reduction in the effects of pounding, unless it is large enough to totally eliminate structural collisions [28,33]. Several formulas have been suggested to evaluate the optimum seismic gap preventing pounding, i.e., the absolute sum (ABS) formula (Equation (1)) [36], square root of the sum of the squares (SRSS) formula (Equation (2)) [29], double-difference (DDC) formula (Equations (3) and (4)) [37], Australian Code formula (Equation (5)) [38], and Naderpour et al. formula (Equations (3) and (6)) [39].
S = U 1 + U 2
S = U 1 2 + U 2 2
S = U 1 2 + U 2 2 2 ρ U 1 U 2
ρ = 8 ξ 1 ξ 2 ξ 2 + ξ 1 T 2 T 1 T 2 T 1 1.5 1 T 2 T 1 2 2 + 4 ξ 1 ξ 2 1 + T 2 T 1 2 T 2 T 1 + 4 ( ξ 1 2 + ξ 2 2 ) T 2 T 1 2
S = 0.01 H m a x
ρ = T 2 T 1 10.5 ( T 2 T 1 )
where S is the sufficient seismic separation gap, U1, ξ1, and T1 are the design displacement, damping ratio, and natural period for the first building, and U2, ξ2, and T2 are the design displacement, damping ratio, and natural period for the second building (T1 < T2), respectively; ρ stands for the correlation factor and Hmax is the height of the taller structure. The DDC formula involves the evaluation of the seismic gap based on the maximum displacements of both buildings and the correlation factor. The correlation factor represents the uncertainties in earthquake-induced structural pounding. The accurate estimation of the seismic gap between adjacent buildings based on the DDC formula requires a proper consideration of the uncertainties involved in the pounding phenomena. The correlation factor depends on the natural periods of adjacent buildings, which represent the dynamic properties of the vibrating structures, including the mass and the stiffness. Most of the studies concerning earthquake-induced structural pounding ignored the soil type and the soil–structure interaction (SSI). However, the SSI and the soil type have a significant influence on the response of vibrating buildings due to the fact that the flexibility induced by soil decreases the stiffness of the colliding buildings [40]. Furthermore, in the case of braced frames, taking into account fixed base buildings is considered conservative and it is not necessary to consider SSI. However, in the case of unbraced frames resting on soft soil, the consideration of the SSI is necessary. This refers to several factors, including the fact that the SSI has a significant influence on the interstorey drifts and the lateral deflections [41]. Moreover, through the comparison of the responses of unbraced frames resting on soft soil considering fixed base buildings as well as considering SSI, it can be concluded that the SSI significantly increases the interstorey drifts and decreases the base shear [42]. Indeed, the necessity of considering SSI increases as the shear wave velocity and shear modulus of the soil decrease [43,44,45]. Also, considering nonlinearity is important in SSI problems to obtain results with acceptable accuracy [46]. Because considering SSI can change the structural dominant frequency and lead to a mistuned mass damper, Wang et al. [47,48,49] developed advanced versions of mistuned mass dampers to adjust to the effects of considering SSI, to control human-induced vibrations, as well as to control the vibrations of base-isolated buildings. It is worth noting that several methods have been proposed for the numerical evaluation of the response of vibrating buildings taking into account SSI [45,50,51]. Also, several methods have been proposed for the experimental evaluation of the response of vibrating buildings taking into account SSI using the shaking table tests (see [52,53], for example). More details were reported in the literature, providing an in-depth description of considering SSI experimentally, describing the necessary procedure and equipment for the consideration of the SSI, including creating the physical model [54] and the soil mixture [55]. Furthermore, previous studies confirm that pounding is significant in the case of SSI as well as in the case of soil–pile–structure interaction [56,57]. Several contradictory results about the effects of the SSI on the response of colliding buildings have been reported in the literature. It was found that pounding with SSI leads to the increase in the displacements, shear forces, and impact forces in some studies (see [56,58,59,60,61,62,63], for example). However, in some other studies (see [64,65], for example), it was found that pounding with SSI leads to the decrease in the displacements, shear forces, and impact forces. The contradictory results referred to several factors that were overlooked in these studies, such as the soil type, since the effects of the soil type have been ignored in some studies and the fact that these studies considered different soil types.
Recently, Miari et al. [66,67,68] studied the effect of the soil type on the response of buildings experiencing floor-to-floor pounding during earthquakes. Five soil types have been considered in the investigation, as defined in the ASCE 7-10 code [69], i.e., hard rock, rock, very dense soil and soft rock, stiff soil, and soft clay soil. The results of the study show that pounding is more significant for the buildings founded on the soft clay soil than for buildings founded on stiff soil, than for buildings founded on very dense soil and soft rock, and finally for buildings founded on the rock and hard rock. Indeed, Miari et al. [70] studied the effects of the soil type on the response of buildings experiencing floor-to-column pounding where special attention has been paid to the shear demands of the impacted column (the column experiencing the hit from the top slab of the shorter building). The same five soil types have been taken into account. It was found that the shear demands of the impacted column significantly increase due to collisions. Also, it was found that the impacted column experiences higher shear demands for buildings founded on the soft clay soil than for buildings founded on the stiff soil, than for buildings founded on very dense soil and soft rock, and finally for buildings founded on the rock and hard rock. Moreover, Miari et al. [71] studied experimentally (using the shaking table tests) the effects of the soil type on the response of colliding buildings. Two steel-storey buildings with different dynamic properties have been considered in the case of pounding as well as the no-pounding case. Four seismic gaps and five earthquakes have been considered in the study. The same five soil types have been taken into account. The results of this study reveal that the soil type has a significant effect on the response of buildings in the case of pounding as well as in the no-pounding case. However, the soil type effect is more significant in the case of pounding than the no-pounding case. Furthermore, Miari et al. [72,73,74] investigated the accuracy of five different formulas (ABS, SRSS, DDC, Australian Code, and Naderpour et al. formula; see Equations (1)–(6)) in evaluating the seismic gap upon the consideration of different soil conditions. The same five soil types have been taken into account. It was found that the seismic gap has a significant influence on the response of colliding buildings. For all soil types, larger gaps do not necessarily lead to lower responses unless it is large enough to eliminate collisions at all (this finding was also emphasized by other works reported in the literature (see [28,33,71,75], for example)). The results of this study also show that all five formulas provide poor estimates when considering different soil types. The ABS and the Naderpour et al. formulas were found to be always conservative, but they overestimated the minimum gap. Moreover, the DDC and Australian Code formulas provided overestimate, accurate, and underestimate results, and the SRSS formula provided both accurate and overestimated results. Similar findings were reported concerning the Australian Code formula (Equation (5)) as it was found that it provides accurate results only in the case of the far-field earthquakes considering the in-between gap equal to 1% of the height of the taller building and not related to the height of the shorter building (see [76] for details). In the case of near-field earthquakes, or in the case when the gap was considered as equal to 1% of the height of the shorter building, the Australian Code formula (Equation (5) provides inaccurate results and underestimates the gap [76].
The aforementioned literature review illustrates that the soil types may have a significant effect on the response of colliding buildings under seismic excitation. Indeed, the currently used formulas for the evaluation of the seismic gap show the discrepancy between providing accurate, underestimate, and overestimate results upon the consideration of different types of soil. Thus, it is necessary to develop new accurate equations for the separation gap that are capable of eliminating collisions as well as taking the soil type into account. Therefore, the aim of this study is to propose new effective equations for the evaluation of the optimum seismic gap by introducing the modification of the correlation factor (see Equation (4)) for different soil types defined in the ASCE 7-10 code [69], i.e., for hard rock, rock, very dense soil and soft rock, stiff soil, and soft clay soil. By designing the buildings and providing separation between them based on the proposed equations, no collisions will occur between them, which means that providing spacing based on the proposed equations will provide more safety to the vibrating buildings during earthquakes.

2. Proposed Equations

In the process of modification of the correlation factor, 1260 pounding cases have been taken into account. In the study, 60 three-dimensional numerical models of concrete buildings have been considered. Table 1 presents the number of storeys, natural period, and frequency for each building. It should be noted that the natural period has been evaluated in the direction of possible pounding. Among these 60 numerical models, 1260 pounding cases have been considered. Table A1 in Appendix A presents a detailed description of these 1260 pounding cases, including the colliding buildings of every case as well as the period ratio between them. To generalize the proposed equations, the authors intended to consider multiple cases with varied situations and scenarios. The authors considered low-rise, mid-rise, and high-rise buildings (from 1-storey buildings up to 20-storey buildings). The torsional pounding was taken into account as well. All the cases have been studied considering five earthquake excitations. Considering the combination of all these factors has led to the generalizability of the proposed equations. These cases have concerned collisions between concrete buildings with different dynamic properties (see details in [66,67,72]), including different number of storeys (ranging from 1 storey up to 20 storeys). Among these buildings, 20 buildings have identical inertia in both directions x and y (ranging from 1 storey up to 20 storeys), 20 buildings have higher inertia in the x-direction (ranging from 1 storey up to 20 storeys), and 20 buildings have higher inertia in the y-direction (ranging from 1 storey up to 20 storeys). Figure 1 presents the plan views of the considered models. These buildings are reinforced concrete structures with a storey height of 3 m and with different lengths and widths. The shortest buildings were 3 m (one storey) and the highest buildings were 60 m (20 storeys). All the storey cases in between have been considered (buildings with 2 storeys, 3 storeys, 4 storeys, 5 storeys, up to 20 storey buildings). The properties of the material used in the models in this study are as follows: concrete with the compressive strength of 35 MPa and the modulus of elasticity of 27.8 Gpa, steel (grade 60) with the yield strength of 420 Mpa and the modulus of elasticity of 200 Gpa. Indeed, the live load was taken to be equal to 4 kN/m2 and the superimposed dead load was taken to be equal to 2 kN/m2. These values were taken considering the frequent use of such materials in construction sites. However, it should be underlined that they will not affect the accuracy of the proposed equations since the authors considered a wide range of natural structural periods, which is considered to be the main factor influencing the earthquake-induced structural pounding. Moreover, the buildings were designed to satisfy the minimum reinforcement requirements based on the ACI code (American Concrete Institute). The ACI code (in Section 10.9.1) states that the reinforcement ratio should be between 1% and 8% of the concrete area. In this study, the reinforcement ratio in the columns has been taken as equal to 1% to ensure both optimum and economic design. Also, the columns and beams were defined as frame elements, while slabs were modelled as shell elements. In this study, the frame element uses a general three-dimensional beam–column formulation that involves the effects of biaxial bending, torsion, axial deformation, and biaxial shear deformations (see [77] for details). Several damping ratios have been considered in this study so that the proposed equations will be valid for all ranges of damping ratios. All the buildings considered in this study have been modelled and designed solely for this study. The criteria of modelling have been verified using the results of shaking table experimental study [71]. For each pounding scenario, the displacement time histories for the level of possible contact (the level of the top storey of the shorter building) have been firstly obtained for both buildings vibrating independently under the specified ground motion. Then, the spacing required to avoid collisions has been calculated using Equation (7). In the next step, the peak displacements U1 and U2 have also been obtained for each building vibrating separately from the time history analyses. In this study, the DDC formula has been used (Equation (3)). The value of the correlation factor ρ has been calculated based on Equation (8) (obtained from re-arranging of Equation (3)). This procedure has been performed for 1260 pounding cases for buildings exposed to 5 different earthquakes and founded on 5 different soil types.
S = max|U2*(t) − U1(t)|
ρ = U 1 2 + U 2 2 S 2 2 U 1 U 2
where U1(t) is the displacement time history of the shorter building at the top storey and U2*(t) is the displacement time history of the taller building at the storey corresponding to the top storey of the shorter building; e.g., if pounding occurs between 4- and 6-storey buildings, U1(t) and U2*(t) concern the 4th storey of these two buildings, respectively.
For instance, in the case of pounding between the 10-storey and 12-storey buildings (10–12 pounding scenario), the structures have been firstly studied when they vibrate independently. The displacement time histories of both buildings at the possible contact level (the level of the top storey of the shorter building, i.e., the level of 10th storey) have been obtained. In 10–12 pounding scenario, the U1(t) and U2*(t) correspond to the displacement time histories at the 10th storey of the 10-storey and 12-storey building, respectively. In the next step, using Equation (7), the spacing required to avoid collisions between them has been calculated. Then, U1 and U2, corresponding to the peak displacement of the 10-storey and the 12-storey buildings, respectively, have been determined. After calculating the values of U1 and U2, as well as the spacing S, the calculation of the correlation factor has been conducted using Equation (8).
Most seismic codes require a number of 2 to 4 independent ground motion simulations so as to obtain the average responses (see [78] for details). Therefore, five ground motions have been taken into account in this study (see Table 2) downloaded from the PEER website [79]. These ground motions are ground surface records. The authors have intentionally adopted different ground motions with different PGAs and frequency content to obtain insight into the issue of how different PGAs and frequency content may contribute to the dynamic response of colliding buildings. Also, different ground motions with significantly different PGAs have been considered to ensure that the proposed equations will be valid for large range of PGAs and not limited to a specific range of PGAs.
The correlation factor has been calculated for each of the 1260 cases under these five ground motions and then the average value has been determined. The analysis has been performed using ETABS software v.18 [80]. Then, the correlation factor has been plotted as a function of the ratio of the natural periods of both buildings T1/T2 (T1 < T2). The ratio of the natural periods has been taken into account since it is the primary factor affecting the earthquake-induced structural pounding [81]. Then, the curve defined by the proposed equation has been fitted into the data set of actual values using the method of least squares. The difference between the actual results and the results based on the proposed equation has been assessed by calculating the normalized root mean square (RMS) error presented in Equation (9) (see [82]):
RMS = i = 1 N V H i H ¯ i 2 i = 1 N V H i 2 × 100 %
where H i , H ¯ i are the actual value and the value obtained by using the proposed equation, respectively, and NV denotes the number of values in the data set. Several techniques have been followed for fitting the curves, including equations with different types: polynomial, power, linear, logarithmic, and exponential. The chosen equation is the one that leads to the lowest percentage of error that is reported in the paper. The whole procedure has been performed for five soil types, A, B, C, D, and E, defined in the ASCE 7-10 code [69] (see Table 3).
The soil type/site class has been considered by defining the response spectrum in ETABS software, and then by matching the earthquake records (defined in Table 2) with the target response spectrum. In the definition of the response spectrum, several parameters are required to be defined, which are the site class and the site properties. In this article, the value of Ss (mapped risk-targeted maximum considered earthquake spectral response acceleration parameter at short period) has been considered to be equal to 1.25, the value of S1 (mapped risk-targeted maximum considered earthquake spectral response acceleration parameter at 1 s period) has been considered to be equal to 0.5, and the value of TL (long transition long period) has been taken as equal to 8 s (see [66,67] for details). These values have been taken into account based on the studies conducted by Miari and Jankowski [66,67], involving extensive analysis on several scaling parameters, with the conclusion that these values lead to the highest and most significant responses. After defining these parameters, the response spectrum has been defined and the five ground motions have been scaled to the target response spectrum. The structural response has been obtained by applying the fast nonlinear analysis (FNA) method developed by Ibrahimbegovic and Wilson [83]. Jaradat and Far [84] conducted a pilot test using the direct integration, by Newmark (1959) and FNA methods. The test was conducted for the top floor relative displacement time histories for the no-pounding case. The results revealed a very good agreement between the two methods. Because of that, and considering that the FNA method consumes much less time unlike the Newmark method (which requires long period of time), the FNA method has been used in this study. In this method, the nonlinearity is considered for the gap and support elements while the linearity is considered for other elements. The dynamic equilibrium equation of the vibrating structure based on this method is shown in Equation (10).
K L   u t + C   u ˙ t + M   u ¨ t + r N t = M u ¨ g ( t )
where K L is the stiffness matrix for the linear elastic elements (all elements except for the gap and support elements); C is the proportional damping matrix; M is the diagonal mass matrix; r N (t) is the vector of forces from the nonlinear degrees of freedom (gap and support elements); u ( t ) , u ˙ ( t ) , and u ¨ ( t ) are vectors of the relative displacements, velocities, and accelerations with respect to the ground; and u ¨ g ( t ) is the vector of ground motion accelerations. In this study, as no gap elements have been used, the nonlinearity has been considered only for the support elements. Also, r N (t) in Equation (10) is the vector of forces from the nonlinear degrees of freedom for the support elements. A time step of 0.001 s has been used in this study since it is considered to be small enough to satisfy the conditions of numerical stability and accuracy during collisions between adjacent buildings.
It should be highlighted at the end that all the buildings considered in this study are concrete buildings and the cases involve floor-to-floor pounding in both symmetric and torsional pounding. Steel and timber buildings were not considered in this study. Therefore, the proposed equations are valid for all kinds of concrete buildings that respond in the linear elastic range: in the cases of symmetric and torsional pounding and for all ranges of stiffnesses, masses, and damping ratios.

2.1. Soil Type A

In this section, the proposed equation for the correlation factor when the colliding buildings are founded on soil type A is presented. Figure 2 presents the plot of the correlation factor when the colliding buildings are founded on soil type A versus T1/T2. It can be seen that the plot is a piecewise function, and it is composed of two different functions. It can also be noticed that the correlation factor follows two different trends depending on whether T1 ≤ 0.2 s or T1 > 0.2 s (see Figure 2). Therefore, the proposed equation for the correlation factor when the colliding buildings are founded on soil type A is composed of two equations depending on whether T1 ≤ 0.2 s or T1 > 0.2 s (see Equation (11)). Figure 3 shows a comparison between the proposed equation (Equation (11)) and the actual values of the correlation factor obtained for different cases. Using Equation (9), the RMS error has been calculated as equal to 2.94% for T1 ≤ 0.2 s and 12.92% for T1 > 0.2 s.
ρ =                                   T 1 T 2 1.117                                                                                                 ,     T 1 0.2   s 57.343 T 1 T 2 4 147.46 T 1 T 2 3 + 141.74 T 1 T 2 2 61.171 T 1 T 2 + 10.548 ,     T 1 > 0.2   s

2.2. Soil Type B

In this section, the proposed equation for the correlation factor when the colliding buildings are founded on soil type B is presented. Figure 4 presents the plot of the correlation factor when the colliding buildings are founded on soil type B versus T1/T2. It can be seen that the plot is a piecewise function, and it is composed of two different functions. It can also be noticed that the correlation factor follows two different trends depending on whether T1 ≤ 0.2 s or T1 > 0.2 s (see Figure 4). Therefore, the proposed equation for the correlation factor when the colliding buildings are founded on soil type B is composed of two equations depending on whether T1 ≤ 0.2 s or T1 > 0.2 s. After fitting the curves, it has been found that the equation for the correlation factor, when the colliding buildings are founded on soil type B, is the same equation for the correlation factor when the colliding buildings are founded on soil type A (see Equation (11)). Figure 5 shows a comparison between the proposed equation (Equation (11)) and the actual values of the correlation factor obtained for different cases. Using Equation (9), the RMS error has been calculated as equal to 3.00% for T1 ≤ 0.2 s and 13.17% for T1 > 0.2 s.

2.3. Soil Type C

In this section, the proposed equation for the correlation factor when the colliding buildings are founded on soil type C is presented. Figure 6 presents the plot of the correlation factor when the colliding buildings are founded on soil type C versus T1/T2. It can be seen that the plot is a piecewise function, and it is composed of three different functions. It can also be noticed that the correlation factor follows three different trends depending on whether T1 ≤ 0.2 s, 0.2 s < T1 ≤ 0.4 s, or T1 > 0.4 s (see Figure 6). Therefore, the proposed equation for the correlation factor when the colliding buildings are founded on soil type C is composed of three equations depending on whether T1 ≤ 0.2 s, 0.2 s < T1 ≤ 0.4 s, or T1 > 0.4 s (see Equation (12)). Figure 7 shows a comparison between the proposed equation (Equation (12)) and the actual values of the correlation factor obtained for different cases. Using Equation (9), the RMS error has been calculated as equal to 7.00% for T1 ≤ 0.2 s, 2.98% for 0.2 s < T1 ≤ 0.4 s, and 6.31% for T1 > 0.4 s.
ρ =                                     T 1 T 2 1.225                                                                                                         ,     T 1 0.2   s 854.668 T 1 T 2 6 3093 T 1 T 2 5 + 4428.7 T 1 T 2 4 3195.3 T 1 T 2 3 + 1232.8 T 1 T 2 2                 250.62 T 1 T 2 + 23.752                 ,     0.2 s < T 1 0.4   s 18.95 T 1 T 2 4 51.456 T 1 T 2 3 + 58.036 T 1 T 2 2 31.526 T 1 T 2 + 6.996         ,     T 1 > 0.4   s

2.4. Soil Type D

In this section, the proposed equation for the correlation factor when the colliding buildings are founded on soil type D is presented. Figure 8 presents the plot of the correlation factor when the colliding buildings are founded on soil type D versus T1/T2. It can be seen that the plot is a piecewise function, and it is composed of three different functions. It can also be noticed that the correlation factor follows three different trends depending on whether T1 ≤ 0.2 s, 0.2 s < T1 ≤ 0.4 s, or T1 > 0.4 s (see Figure 8). Therefore, the proposed equation for the correlation factor when the colliding buildings are founded on soil type D is composed of three equations depending on whether T1 ≤ 0.2 s, 0.2 s < T1 ≤ 0.4 s, or T1 > 0.4 s (see Equation (13)). Figure 9 shows a comparison between the proposed equation (Equation (13)) and the actual values of the correlation factor obtained for different cases. Using Equation (9), the RMS error has been calculated as equal to 10.37% for T1 ≤ 0.2 s, 3.59% for 0.2 s < T1 ≤ 0.4 s, and 10.03% for T1 > 0.4 s.
ρ = T 1 T 2 1.295                                                                                                               ,     T 1 0.2   s 732.762 T 1 T 2 6 2675.9 T 1 T 2 5 + 3882.2 T 1 T 2 4 2859.2 T 1 T 2 3 + 1142 T 1 T 2 2                                                           246.34 T 1 T 2 + 25.478 ,         0.2   s < T 1 0.4   s 24.5342 T 1 T 2 4 68.328 T 1 T 2 3 + 76.198 T 1 T 2 2 39.706 T 1 T 2 + 8.3018 ,         T 1 > 0.4   s

2.5. Soil Type E

In this section, the proposed equation for the correlation factor when the colliding buildings are founded on soil type E is presented. Figure 10 presents the plot of the correlation factor when the colliding buildings are founded on soil type D versus T1/T2. It can be seen that the plot is a piecewise function, and it is composed of three different functions. It can also be noticed that the correlation factor follows three different trends depending on whether T1 ≤ 0.2 s, 0.2 s < T1 ≤ 0.4 s, or T1 > 0.4 s (see Figure 10). Therefore, the proposed equation for the correlation factor when the colliding buildings are founded on soil type D is composed of three equations depending on whether T1 ≤ 0.2 s, 0.2 s < T1 ≤ 0.4 s, or T1 > 0.4 s (see Equation (14)). Figure 11 shows a comparison between the proposed equation (Equation (14)) and the actual values of the correlation factor obtained for different cases. Using Equation (9), the RMS error has been calculated as equal to 7.00% for T1 ≤ 0.2 s, 2.98% for 0.2 s < T1 ≤ 0.4 s, and 8.30% for T1 > 0.4 s. It should be noted at the end that, if the calculation based on the proposed correlation factors results in a negative value of the term S 2 = U 1 2 + U 2 2 2 ρ U 1 U 2 , then the absolute value should be taken into account for the calculation of the spacing S.
ρ = T 1 T 2 1.519                                                                                                           ,     T 1 0.2   s 2531.452 T 1 T 2 6 8855.4 T 1 T 2 5 + 12,190 T 1 T 2 4 8404.1 T 1 T 2 3 + 3076.1 T 1 T 2 2                                                           589.69 T 1 T 2 + 52.638 ,           0.2   s < T 1 0.4   s 78.392 T 1 T 2 4 214.39 T 1 T 2 3 + 219.53 T 1 T 2 2 99.972 T 1 T 2 + 17.44 ,     T 1 > 0.4   s

3. Verification of the Effectiveness of the Proposed Equations

In this section, the effectiveness of the proposed equations is verified by comparing them with the equations existing in the literature. Table 4 considers a few pounding cases between buildings number 21–26 (see Table 1) founded on different soil types. Table 4 presents the exact required seismic gap to avoid collisions based on Equation (8), the gap calculated using equations proposed in this study, and the ratio between them. When this ratio is equal or close to 1, it means that the equation is accurate, while, when the ratio is much larger or much smaller than 1, it means that the equation is not accurate. It can be seen that the ratio of the gap using the equations proposed in this study and the exact required seismic gap to avoid collisions ranges between 0.99 and 1.34 and, in most cases, is close to 1. This means that the proposed equations are effective in calculating the accuracy of the seismic gap. Indeed, Table 5 presents the comparison between the seismic gap calculated using the ABS formula (Equation (1)) and the exact required seismic gap to avoid collisions based on Equation (8) as well as the ratio between them. It can be seen that the ratio of the gap calculated using the ABS formula and the exact required seismic gap to avoid collisions ranges between 1.55 and 3.74. This means that the ABS formula significantly overestimates the gap for the considered cases and the proposed equations provide better accuracy than the ABS formula. Also, Table 6 presents the comparison between the seismic gap calculated using the SRSS formula (Equation (2)) and the exact required seismic gap to avoid collisions based on Equation (8) as well as the ratio between them. It can be seen that the ratio of the gap calculated using the SRSS formula and the exact required seismic gap to avoid collisions ranges between 1.18 and 3.53. This means that the SRSS formula significantly overestimates the gap for the considered cases and the proposed equations provide better accuracy than the SRSS formula. Also, Table 7 presents the comparison between the seismic gap calculated using the DDC formula (Equations (3) and (4)) and the exact required seismic gap to avoid collisions based on Equation (8) as well as the ratio between them. It can be seen that the ratio of the gap calculated using the DDC formula and the exact required seismic gap to avoid collisions ranges between 1.18 and 3.53. This means that the DDC formula significantly overestimates the gap for the considered cases and the proposed equations provide better accuracy than the DDC formula. Moreover, Table 8 presents the comparison between the seismic gap calculated using the Australian Code formula (Equation (5)) and the exact required seismic gap to avoid collisions based on Equation (8) as well as the ratio between them. It can be seen that the ratio of the gap calculated using the Australian Code formula and the exact required seismic gap to avoid collisions ranges between 0.74 and 14.81. This means that the Australian Code formula provides both accurate results as well as significantly overestimated results and the proposed equations provide better accuracy than the Australian Code formula. Furthermore, Table 9 presents the comparison between the seismic gap calculated using the Naderpour et al. [39] formula (Equations (4) and (6)) and the exact required seismic gap to avoid collisions based on Equation (8) as well as the ratio between them. It can be seen that the ratio of the gap calculated using the Naderpour et al. [39] formula and the exact required seismic gap to avoid collisions ranges between 1.43 and 3.88. This means that the Naderpour et al. [39] formula significantly overestimates the gap for the considered cases and the proposed equations provide better accuracy than the Naderpour et al. [39] formula. Miari and Jankowski [72] have extensively studied these formulas and it was found that these formulas provide accurate, underestimate, and overestimate results. The equations for the seismic gap proposed in this study aim to provide more accurate results.

4. Conclusions

In this paper, new equations for the evaluation of the optimum seismic gap preventing earthquake-induced pounding between adjacent buildings founded on different soil conditions have been proposed. The DDC formula has been taken into consideration and the modification of the correlation factor has been introduced. In the study, 1260 cases of pounding between different concrete buildings with various dynamic properties have been considered under five ground motions. Five soil types have been taken into account, as defined in the ASCE 7-10 code [69], i.e., hard rock, rock, very dense soil and soft rock, stiff soil, and soft clay soil. The normalized RMS errors have been calculated for the proposed equations. The results of the study indicate that the error ranges between 2% and 14%, confirming the accuracy of the approach. Therefore, the proposed equations can be effectively used for the determination of the optimum seismic gap preventing earthquake-induced pounding between buildings founded on different soil types. The current equations existing in the literature consider only one equation for the separation distance regardless of the soil type, which means that the same equation is supposed to be valid no matter the soil type. However, the proposed equations are multiple equations where every equation corresponds to a certain soil type, which means that the selection of the equation to be used is dependent on the soil type that the buildings are founded on. By designing the buildings and providing separation between them based on the proposed equations, no collisions will occur between them, which means that providing spacing based on the proposed equations will provide more safety to the vibrating buildings during earthquakes. Since only concrete buildings are considered in this study, it can be said that the accuracy of the formulas is verified for concrete buildings and for concrete-to-concrete pounding. The accuracy of these formulas has to be investigated for other kinds of pounding, such as steel-to-steel pounding and timber-to-timber pounding, and compared with the formulas existing in the literature. The current formulas existing in the literature can be less or more accurate than the proposed equations in other kinds of pounding, such as steel-to-steel pounding and timber-to-timber pounding. Since the equations are based on natural periods, they should also be valid for steel and timber structures. However, further checking and verification are necessary. Also, checking the accuracy of the proposed equations compared with the current formulas existing in the literature in the case of direct integration nonlinear analyses rather than fast nonlinear analyses (FNAs) is required. Finally, an experimental verification of the proposed equations is necessary. The experimental verification can be completed using the shaking table by simulating two models placed with a separation distance based on the proposed equations and checking if pounding occurs or not.

Author Contributions

M.M.: Conceptualization, Methodology, Formal analysis, Investigation, Writing—Original Draft. R.J.: Supervision, Writing—Review & Editing. All authors have read and agreed to the published version of the manuscript.

Funding

The first author (Mahmoud Miari) gratefully acknowledges the financial support of this research from the “Doctoral Scholarship” awarded from Gdańsk University of Technology.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All the data are included in the article.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Pounding cases considered in this study.
Table A1. Pounding cases considered in this study.
Pounding CaseBuilding 1Building 2Period Ratio
1111.000
2120.548
3130.372
4140.280
5150.224
6160.186
7170.159
8180.139
9190.123
101100.110
111110.100
121120.091
131130.083
141140.077
151150.071
161160.066
171170.062
181180.058
191190.054
201200.051
211211.046
221220.570
231230.386
241240.290
251250.232
261260.193
271270.165
281280.144
291290.127
301300.114
311310.103
321320.094
331330.086
341340.079
351350.074
361360.068
371370.064
381380.060
391390.056
401400.053
411411.036
421420.562
431430.379
441440.285
451450.227
461460.189
471470.161
481480.140
491490.123
501500.110
511510.099
521520.090
531530.082
541540.075
551550.069
561560.064
571570.060
581580.056
591590.052
601600.049
61221.000
62230.678
63240.510
64250.409
65260.340
66270.291
67280.254
68290.224
692100.201
702110.182
712120.166
722130.152
732140.140
742150.130
752160.121
762170.113
772180.105
782190.099
792200.093
802221.039
812230.703
822240.529
832250.423
842260.352
852270.301
862280.262
872290.232
882300.208
892310.188
902320.171
912330.157
922340.145
932350.134
942360.125
952370.117
962380.109
972390.103
982400.097
992421.025
1002430.691
1012440.519
1022450.414
1032460.344
1042470.293
1052480.255
1062490.225
1072500.200
1082510.180
1092520.164
1102530.149
1112540.137
1122550.127
1132560.117
1142570.109
1152580.101
1162590.095
1172600.089
118331.000
119340.753
120350.603
121360.502
122370.429
123380.374
124390.331
1253100.297
1263110.268
1273120.244
1283130.224
1293140.207
1303150.191
1313160.178
1323170.166
1333180.156
1343190.146
1353200.138
1363231.038
1373240.781
1383250.625
1393260.520
1403270.444
1413280.387
1423290.343
1433300.307
1443310.277
1453320.253
1463330.232
1473340.214
1483350.198
1493360.184
1503370.172
1513380.161
1523390.151
1533400.142
1543431.020
1553440.766
1563450.611
1573460.507
1583470.432
1593480.376
1603490.331
1613500.296
1623510.266
1633520.242
1643530.221
1653540.203
1663550.187
1673560.173
1683570.161
1693580.150
1703590.140
1713600.131
172441.000
173450.801
174460.666
175470.570
176480.497
177490.440
1784100.394
1794110.356
1804120.324
1814130.298
1824140.274
1834150.254
1844160.236
1854170.221
1864180.207
1874190.194
1884200.183
1894241.037
1904250.829
1914260.690
1924270.590
1934280.514
1944290.455
1954300.407
1964310.368
1974320.336
1984330.308
1994340.284
2004350.263
2014360.245
2024370.228
2034380.214
2044390.201
2054400.189
2064441.017
2074450.812
2084460.674
2094470.574
2104480.499
2114490.440
2124500.393
2134510.354
2144520.321
2154530.293
2164540.269
2174550.248
2184560.230
2194570.213
2204580.199
2214590.186
2224600.174
223551.000
224560.832
225570.711
226580.620
227590.549
2285100.492
2295110.444
2305120.405
2315130.371
2325140.342
2335150.317
2345160.295
2355170.276
2365180.258
2375190.242
2385200.228
2395251.035
2405260.862
2415270.736
2425280.642
2435290.568
2445300.509
2455310.460
2465320.419
2475330.384
2485340.354
2495350.328
2505360.305
2515370.285
2525380.267
2535390.251
2545400.236
2555451.013
2565460.841
2575470.717
2585480.623
2595490.549
2605500.490
2615510.441
2625520.401
2635530.366
2645540.336
2655550.310
2665560.287
2675570.266
2685580.248
2695590.232
2705600.217
271661.000
272670.855
273680.746
274690.660
2756100.591
2766110.534
2776120.487
2786130.447
2796140.412
2806150.381
2816160.355
2826170.331
2836180.310
2846190.291
2856200.274
2866261.036
2876270.885
2886280.772
2896290.683
2906300.612
2916310.553
2926320.504
2936330.462
2946340.426
2956350.395
2966360.367
2976370.343
2986380.321
2996390.302
3006400.284
3016461.011
3026470.861
3036480.749
3046490.660
3056500.589
3066510.531
3076520.482
3086530.440
3096540.404
3106550.372
3116560.344
3126570.320
3136580.298
3146590.278
3156600.261
316771.000
317780.872
318790.771
3197100.691
3207110.625
3217120.569
3227130.522
3237140.481
3247150.446
3257160.415
3267170.387
3277180.363
3287190.340
3297200.320
3307271.035
3317280.902
3327290.798
3337300.715
3347310.646
3357320.589
3367330.540
3377340.498
3387350.462
3397360.429
3407370.401
3417380.375
3427390.353
3437400.332
3447471.007
3457480.875
3467490.772
3477500.689
3487510.620
3497520.563
3507530.514
3517540.472
3527550.435
3537560.403
3547570.374
3557580.348
3567590.326
3577600.305
358881.000
359890.885
3608100.793
3618110.716
3628120.653
3638130.599
3648140.552
3658150.512
3668160.476
3678170.444
3688180.416
3698190.390
3708200.368
3718281.035
3728290.916
3738300.820
3748310.741
3758320.676
3768330.620
3778340.571
3788350.529
3798360.492
3808370.460
3818380.431
3828390.404
3838400.381
3848481.004
3858490.885
3868500.790
3878510.711
3888520.646
3898530.589
3908540.541
3918550.499
3928560.462
3938570.429
3948580.400
3958590.373
3968600.350
397991.000
3989100.896
3999110.810
4009120.738
4019130.677
4029140.624
4039150.578
4049160.538
4059170.502
4069180.470
4079190.441
4089200.415
4099291.035
4109300.927
4119310.838
4129320.764
4139330.700
4149340.646
4159350.598
4169360.557
4179370.520
4189380.487
4199390.457
4209400.430
4219491.001
4229500.893
4239510.804
4249520.730
4259530.666
4269540.612
4279550.564
4289560.522
4299570.485
4309580.452
4319590.422
4329600.395
43310101.000
43410110.904
43510120.824
43610130.756
43710140.697
43810150.645
43910160.600
44010170.560
44110180.525
44210190.493
44310200.464
44410301.035
44510310.935
44610320.853
44710330.782
44810340.721
44910350.668
45010360.621
45110370.580
45210380.543
45310390.510
45410400.480
45510500.997
45610510.898
45710520.815
45810530.744
45910540.683
46010550.630
46110560.583
46210570.541
46310580.504
46410590.471
46510600.441
46611111.000
46711120.911
46811130.836
46911140.771
47011150.714
47111160.664
47211170.620
47311180.580
47411190.545
47511200.513
47611311.035
47711320.943
47811330.865
47911340.798
48011350.739
48111360.687
48211370.642
48311380.601
48411390.564
48511400.532
48611510.993
48711520.901
48811530.823
48911540.755
49011550.697
49111560.645
49211570.599
49311580.558
49411590.521
49511600.488
49612121.000
49712130.917
49812140.846
49912150.783
50012160.729
50112170.680
50212180.637
50312190.598
50412200.563
50512321.035
50612330.949
50712340.875
50812350.811
50912360.754
51012370.704
51112380.660
51212390.619
51312400.583
51412520.989
51512530.903
51612540.829
51712550.764
51812560.707
51912570.657
52012580.612
52112590.572
52212600.536
52313131.000
52413140.922
52513150.854
52613160.794
52713170.742
52813180.694
52913190.652
53013200.614
53113331.035
53213340.954
53313350.884
53413360.822
53513370.768
53613380.719
53713390.675
53813400.636
53913530.984
54013540.904
54113550.833
54213560.771
54313570.716
54413580.667
54513590.624
54613600.584
54714141.000
54814150.926
54914160.862
55014170.804
55114180.753
55214190.707
55314200.666
55414341.035
55514350.959
55614360.892
55714370.833
55814380.780
55914390.732
56014400.690
56114540.980
56214550.904
56314560.837
56414570.777
56514580.724
56614590.676
56714600.633
56815151.000
56915160.930
57015170.868
57115180.813
57215190.763
57315200.719
57415351.035
57515360.963
57615370.899
57715380.842
57815390.791
57915400.744
58015550.976
58115560.903
58215570.839
58315580.781
58415590.730
58515600.684
58616161.000
58716170.934
58816180.874
58916190.821
59016200.773
59116361.035
59216370.966
59316380.905
59416390.850
59516400.800
59616560.971
59716570.902
59816580.840
59916590.785
60016600.735
60117171.000
60217180.936
60317190.879
60417200.828
60517371.035
60617380.969
60717390.910
60817400.857
60917570.966
61017580.900
61117590.841
61217600.787
61318181.000
61418190.939
61518200.884
61618381.036
61718390.972
61818400.916
61918580.961
62018590.898
62118600.841
62219191.000
62319200.941
62419391.036
62519400.975
62619590.956
62719600.895
62820201.000
62920401.036
63020600.951
63121211.000
63221220.545
63321230.369
63421240.277
63521250.222
63621260.185
63721270.158
63821280.138
63921290.122
64021300.109
64121310.099
64221320.090
64321330.082
64421340.076
64521350.070
64621360.065
64721370.061
64821380.057
64921390.054
65021400.051
65121410.990
65221420.537
65321430.362
65421440.272
65521450.217
65621460.180
65721470.154
65821480.133
65921490.118
66021500.105
66121510.095
66221520.086
66321530.078
66421540.072
66521550.066
66621560.061
66721570.057
66821580.053
66921590.050
67021600.046
67122221.000
67222230.677
67322240.509
67422250.407
67522260.339
67622270.290
67722280.252
67822290.223
67922300.200
68022310.181
68122320.165
68222330.151
68322340.139
68422350.129
68522360.120
68622370.112
68722380.105
68822390.099
68922400.093
69022420.986
69122430.665
69222440.499
69322450.399
69422460.331
69522470.282
69622480.245
69722490.216
69822500.193
69922510.174
70022520.158
70122530.144
70222540.132
70322550.122
70422560.113
70522570.105
70622580.098
70722590.091
70822600.085
70923231.000
71023240.752
71123250.602
71223260.501
71323270.428
71423280.373
71523290.330
71623300.296
71723310.267
71823320.244
71923330.223
72023340.206
72123350.191
72223360.178
72323370.166
72423380.155
72523390.146
72623400.137
72723430.983
72823440.738
72923450.589
73023460.489
73123470.417
73223480.362
73323490.319
73423500.285
73523510.257
73623520.233
73723530.213
73823540.195
73923550.180
74023560.167
74123570.155
74223580.144
74323590.135
74423600.126
74524241.000
74624250.800
74724260.666
74824270.569
74924280.496
75024290.439
75124300.393
75224310.355
75324320.324
75424330.297
75524340.274
75624350.254
75724360.236
75824370.220
75924380.206
76024390.194
76124400.182
76224440.980
76324450.783
76424460.650
76524470.554
76624480.481
76724490.424
76824500.379
76924510.341
77024520.309
77124530.282
77224540.259
77324550.239
77424560.221
77524570.206
77624580.192
77724590.179
77824600.168
77925251.000
78025260.832
78125270.711
78225280.620
78325290.549
78425300.491
78525310.444
78625320.405
78725330.371
78825340.342
78925350.317
79025360.295
79125370.275
79225380.258
79325390.242
79425400.228
79525450.979
79625460.812
79725470.692
79825480.602
79925490.530
80025500.473
80125510.426
80225520.387
80325530.353
80425540.324
80525550.299
80625560.277
80725570.257
80825580.239
80925590.224
81025600.209
81126261.000
81226270.854
81326280.745
81426290.659
81526300.590
81626310.534
81726320.486
81826330.446
81926340.411
82026350.381
82126360.354
82226370.331
82326380.310
82426390.291
82526400.274
82626460.976
82726470.831
82826480.723
82926490.637
83026500.569
83126510.512
83226520.465
83326530.424
83426540.390
83526550.359
83626560.332
83726570.309
83826580.288
83926590.269
84026600.252
84127271.000
84227280.872
84327290.772
84427300.691
84527310.625
84627320.569
84727330.522
84827340.481
84927350.446
85027360.415
85127370.387
85227380.363
85327390.341
85427400.321
85527470.973
85627480.846
85727490.746
85827500.666
85927510.599
86027520.544
86127530.497
86227540.456
86327550.420
86427560.389
86527570.361
86627580.337
86727590.315
86827600.295
86928281.000
87028290.885
87128300.793
87228310.717
87328320.653
87428330.599
87528340.552
87628350.512
87728360.476
87828370.444
87928380.416
88028390.391
88128400.368
88228480.971
88328490.856
88428500.764
88528510.688
88628520.624
88728530.570
88828540.523
88928550.482
89028560.446
89128570.415
89228580.386
89328590.361
89428600.338
89529291.000
89629300.895
89729310.809
89829320.738
89929330.677
90029340.624
90129350.578
90229360.538
90329370.502
90429380.470
90529390.442
90629400.416
90729490.967
90829500.863
90929510.777
91029520.705
91129530.644
91229540.591
91329550.545
91429560.504
91529570.468
91629580.436
91729590.408
91829600.382
91930301.000
92030310.904
92130320.824
92230330.755
92330340.697
92430350.646
92530360.601
92630370.561
92730380.525
92830390.493
92930400.464
93030500.963
93130510.868
93230520.787
93330530.719
93430540.660
93530550.609
93630560.563
93730570.523
93830580.487
93930590.455
94030600.426
94131311.000
94231320.912
94331330.836
94431340.771
94531350.714
94631360.664
94731370.620
94831380.581
94931390.545
95031400.514
95131510.960
95231520.871
95331530.795
95431540.730
95531550.673
95631560.623
95731570.579
95831580.539
95931590.504
96031600.472
96132321.000
96232330.917
96332340.846
96432350.783
96532360.729
96632370.680
96732380.637
96832390.598
96932400.563
97032520.956
97132530.872
97232540.801
97332550.738
97432560.684
97532570.635
97632580.591
97732590.553
97832600.517
97933331.000
98033340.922
98133350.855
98233360.795
98333370.742
98433380.695
98533390.653
98633400.615
98733530.951
98833540.873
98933550.805
99033560.746
99133570.692
99233580.645
99333590.603
99433600.564
99534341.000
99634350.926
99734360.862
99834370.804
99934380.753
100034390.708
100134400.666
100234540.947
100334550.873
100434560.808
100534570.751
100634580.699
100734590.653
100834600.612
100935351.000
101035360.930
101135370.868
101235380.813
101335390.764
101435400.719
101535550.943
101635560.872
101735570.810
101835580.755
101935590.705
102035600.660
102136361.000
102236370.934
102336380.874
102436390.821
102536400.773
102636560.938
102736570.871
102836580.811
102936590.758
103036600.710
103137371.000
103237380.937
103337390.880
103437400.828
103537570.933
103637580.869
103737590.812
103837600.760
103938381.000
104038390.939
104138400.884
104238580.928
104338590.867
104438600.812
104539391.000
104639400.942
104739590.923
104839600.865
104940401.000
105040600.918
105141411.000
105241420.543
105341430.366
105441440.275
105541450.219
105641460.182
105741470.155
105841480.135
105941490.119
106041500.106
106141510.096
106241520.087
106341530.079
106441540.073
106541550.067
106641560.062
106741570.058
106841580.054
106941590.050
107041600.047
107142421.000
107242430.675
107342440.506
107442450.404
107542460.335
107642470.286
107742480.248
107842490.219
107942500.195
108042510.176
108142520.160
108242530.146
108342540.134
108442550.123
108542560.114
108642570.106
108742580.099
108842590.092
108942600.087
109043431.000
109143440.750
109243450.599
109343460.497
109443470.424
109543480.368
109643490.325
109743500.290
109843510.261
109943520.237
110043530.216
110143540.198
110243550.183
110343560.169
110443570.157
110543580.147
110643590.137
110743600.128
110844441.000
110944450.798
111044460.663
111144470.565
111244480.491
111344490.433
111444500.386
111544510.348
111644520.316
111744530.288
111844540.264
111944550.244
112044560.226
112144570.210
112244580.195
112344590.182
112444600.171
112545451.000
112645460.830
112745470.707
112845480.615
112945490.542
113045500.484
113145510.435
113245520.395
113345530.361
113445540.331
113545550.305
113645560.283
113745570.263
113845580.245
113945590.229
114045600.214
114146461.000
114246470.852
114346480.741
114446490.653
114546500.583
114646510.525
114746520.476
114846530.435
114946540.399
115046550.368
115146560.341
115246570.316
115346580.295
115446590.275
115546600.258
115647471.000
115747480.869
115847490.766
115947500.684
116047510.616
116147520.559
116247530.510
116347540.468
116447550.432
116547560.400
116647570.371
116747580.346
116847590.323
116947600.303
117048481.000
117148490.882
117248500.787
117348510.709
117448520.643
117548530.587
117648540.539
117748550.497
117848560.460
117948570.427
118048580.398
118148590.372
118248600.348
118349491.000
118449500.892
118549510.804
118649520.729
118749530.666
118849540.611
118949550.564
119049560.522
119149570.485
119249580.451
119349590.422
119449600.395
119550501.000
119650510.901
119750520.817
119850530.746
119950540.685
120050550.632
120150560.585
120250570.543
120350580.506
120450590.473
120550600.443
120651511.000
120751520.908
120851530.828
120951540.761
121051550.701
121151560.649
121251570.603
121351580.562
121451590.525
121551600.491
121652521.000
121752530.913
121852540.838
121952550.773
122052560.715
122152570.664
122252580.619
122352590.578
122452600.541
122553531.000
122653540.918
122753550.847
122853560.784
122953570.728
123053580.678
123153590.633
123253600.593
123354541.000
123454550.922
123554560.854
123654570.793
123754580.738
123854590.690
123954600.646
124055551.000
124155560.926
124255570.860
124355580.801
124455590.748
124555600.701
124656561.000
124756570.929
124856580.865
124956590.808
125056600.757
125157571.000
125257580.932
125357590.870
125457600.815
125558581.000
125658590.934
125758600.875
125859591.000
125959600.936
126060601.000

References

  1. Anagnostopoulos, S.A. Pounding of buildings in series during earthquakes. Earthq. Eng. Struct. Dyn. 1988, 16, 443–456. [Google Scholar] [CrossRef]
  2. Favvata, M.J. Minimum required separation gap for adjacent RC frames with potential inter-story seismic pounding. Eng. Struct. 2017, 152, 643–659. [Google Scholar] [CrossRef]
  3. Mavronicola, E.A.; Polycarpou, P.C.; Komodromos, P. Effect of ground motion directionality on the seismic response of base isolated buildings pounding against adjacent structures. Eng. Struct. 2020, 207, 110202. [Google Scholar] [CrossRef]
  4. Miari, M.; Jankowski, R. Pounding between high-rise buildings with different structural arrangements. In Proceedings of the International Conference on Wave Mechanics and Vibrations, Lisbon, Portugal, 4–6 July 2022; pp. 807–816. [Google Scholar]
  5. Miari, M.; Jankowski, R. Incremental dynamic analysis and fragility assessment of buildings with different structural arrangements experiencing earthquake-induced structural pounding. In Proceedings of the International Conference on Computational Science, London, UK, 21–23 June 2022; pp. 117–124. [Google Scholar]
  6. Rosenblueth, E.; Meli, R. The 1985 Mexico earthquake. Concr. Int. 1986, 8, 23–34. [Google Scholar]
  7. Anagnostopoulos, S. Building pounding re-examined: How serious a problem is it. In Proceedings of the Eleventh World Conference on Earthquake Engineering, Acapulco, Mexico, 23–28 June 1996; Pergamon: Oxford, UK, 1996; p. 2108. [Google Scholar]
  8. Kasai, K.; Maison, B.F. Building pounding damage during the 1989 Loma Prieta earthquake. Eng. Struct. 1997, 19, 195–207. [Google Scholar] [CrossRef]
  9. Romão, X.; Costa, A.; Paupério, E.; Rodrigues, H.; Vicente, R.; Varum, H.; Costa, A. Field observations and interpretation of the structural performance of constructions after the 11 May 2011 Lorca earthquake. Eng. Fail. Anal. 2013, 34, 670–692. [Google Scholar] [CrossRef]
  10. Wibowo, A.; Kafle, B.; Kermani, A.M.; Lam, N.T.; Wilson, J.L.; Gad, E.F. Damage in the 2008 China earthquake. In Proceedings of the Australian Earthquake Engineering Society Conference, Ballarat, Australia, 21–23 November 2008; pp. 1–8. [Google Scholar]
  11. Cole, G.; Dhakal, R.; Carr, A.; Bull, D. Interbuilding pounding damage observed in the 2010 Darfield earthquake. Bull. N. Z. Soc. Earthq. Eng. 2010, 43, 382–386. [Google Scholar] [CrossRef]
  12. Cole, G.; Dhakal, R.; Carr, A.; Bull, D. Case studies of observed pounding damage during the 2010 Darfield earthquake. In Proceedings of the 9th Pacific Conference on Earthquake Engineering, Auckland, The Netherlands, 14–16 April 2011. [Google Scholar]
  13. Cole, G.; Dhakal, R.; Chouw, N. Building Pounding Damage Observed in the 2011 Christchurch earthquake Christchurch Earthquake. In Proceedings of the 15th World Conference on Earthquake Engineering, Lisbon, Portugal, 24–28 September 2012. [Google Scholar]
  14. Cole, G.L.; Dhakal, R.P.; Turner, F.M. Building pounding damage observed in the 2011 Christchurch earthquake. Earthq. Eng. Struct. Dyn. 2012, 41, 893–913. [Google Scholar] [CrossRef]
  15. Gautam, D.; Rodrigues, H.; Bhetwal, K.K.; Neupane, P.; Sanada, Y. Common structural and construction deficiencies of Nepalese buildings. Innov. Infrastruct. Solut. 2016, 1, 1. [Google Scholar] [CrossRef]
  16. Sharma, K.; Deng, L.; Noguez, C.C. Field investigation on the performance of building structures during the April 25, 2015, Gorkha earthquake in Nepal. Eng. Struct. 2016, 121, 61–74. [Google Scholar] [CrossRef]
  17. Gautam, D.; Chaulagain, H. Structural performance and associated lessons to be learned from world earthquakes in Nepal after 25 April 2015 (MW 7.8) Gorkha earthquake. Eng. Fail. Anal. 2016, 68, 222–243. [Google Scholar] [CrossRef]
  18. Shakya, K.; Pant, D.; Maharjan, M.; Bhagat, S.; Wijeyewickrema, A.; Maskey, P. Lessons learned from performance of buildings during the September 18, 2011 earthquake in Nepal. Asian J. Civ. Eng. (Build. Hous.) 2013, 14, 719–733. [Google Scholar]
  19. Rai, D.C.; Singhal, V.; Raj, S.B.; Sagar, S.L. Reconnaissance of the effects of the M7. 8 Gorkha (Nepal) earthquake of April 25, 2015. Geomat. Nat. Hazards Risk 2016, 7, 1–17. [Google Scholar] [CrossRef]
  20. Shrestha, B.; Hao, H. Building pounding damages observed during the 2015 Gorkha earthquake. J. Perform. Constr. Facil. 2018, 32, 04018006. [Google Scholar] [CrossRef]
  21. Miari, M.; Choong, K.K.; Jankowski, R. Seismic pounding between adjacent buildings: Identification of parameters, soil interaction issues and mitigation measures. Soil Dyn. Earthq. Eng. 2019, 121, 135–150. [Google Scholar] [CrossRef]
  22. Miari, M.; Choong, K.K.; Jankowski, R. Seismic pounding between bridge segments: A state-of-the-art review. Arch. Comput. Methods Eng. 2021, 28, 495–504. [Google Scholar] [CrossRef]
  23. Raheem, S.E.A. Seismic pounding between adjacent building structures. Electron. J. Struct. Eng. 2006, 6, 155. [Google Scholar]
  24. Rojas, F.R.; Anderson, J.C. Pounding of an 18-story building during recorded earthquakes. J. Struct. Eng. 2012, 138, 1530–1544. [Google Scholar] [CrossRef]
  25. Raheem, S.E.A. Mitigation measures for earthquake induced pounding effects on seismic performance of adjacent buildings. Bull. Earthq. Eng. 2014, 12, 1705–1724. [Google Scholar] [CrossRef]
  26. Inel, M.; Cayci, B.T.; Kamal, M.; Altinel, O. Structural Pounding of Mid-Rise RC Buildings during Earthquakes. In Proceedings of the 3rd European Conference on Earthquake Engineering and Seismology, Bucharest, Romania, 4–9 September 2022. [Google Scholar]
  27. Efraimiadou, S.; Hatzigeorgiou, G.D.; Beskos, D.E. Structural pounding between adjacent buildings subjected to strong ground motions. Part I: The effect of different structures arrangement. Earthq. Eng. Struct. Dyn. 2013, 42, 1509–1528. [Google Scholar] [CrossRef]
  28. Jameel, M.; Islam, A.; Hussain, R.R.; Hasan, S.D.; Khaleel, M. Non-linear FEM analysis of seismic induced pounding between neighbouring multi-storey structures. Lat. Am. J. Solids Struct. 2013, 10, 921–939. [Google Scholar] [CrossRef]
  29. Anagnostopoulos, S.A.; Spiliopoulos, K.V. An investigation of earthquake induced pounding between adjacent buildings. Earthq. Eng. Struct. Dyn. 1992, 21, 289–302. [Google Scholar] [CrossRef]
  30. Jaradat, Y.; Far, H.; Mortazavi, M. Experimental evaluation of theoretical impact models for seismic pounding. J. Earthq. Eng. 2022. [CrossRef]
  31. Maison, B.F.; Kasai, K. Dynamics of pounding when two buildings collide. Earthq. Eng. Struct. Dyn. 1992, 21, 771–786. [Google Scholar] [CrossRef]
  32. Mouzakis, H.P.; Papadrakakis, M. Three dimensional nonlinear building pounding with friction during earthquakes. J. Earthq. Eng. 2004, 8, 107–132. [Google Scholar] [CrossRef]
  33. Gong, L.; Hao, H. Analysis of coupled lateral-torsional-pounding responses of one-storey asymmetric adjacent structures subjected to bi-directional ground motions Part I: Uniform ground motion input. Adv. Struct. Eng. 2005, 8, 463–479. [Google Scholar] [CrossRef]
  34. Crozet, V.; Politopoulos, I.; Yang, M.; Martinez, J.M.; Erlicher, S. Sensitivity analysis of pounding between adjacent structures. Earthq. Eng. Struct. Dyn. 2018, 47, 219–235. [Google Scholar] [CrossRef]
  35. Crozet, V.; Politopoulos, I.; Yang, M.; Martinez, J.; Erlicher, S. Influential structural parameters of pounding between buildings during earthquakes. Procedia Eng. 2017, 199, 1092–1097. [Google Scholar] [CrossRef]
  36. UBC97; Uniform Building Code. International Conference of Building Officials: Whittier, CA, USA, 1997.
  37. Jeng, V.; Kasai, K.; Maison, B.F. A spectral difference method to estimate building separations to avoid pounding. Earthq. Spectra 1992, 8, 201–223. [Google Scholar] [CrossRef]
  38. AS 1170.4—2007; Structural Design Actions: Earthquake Actions in Australia. Standards Australia: Sydney, NSW, Australia, 2007.
  39. Naderpour, H.; Khatami, S.M.; Barros, R.C. Prediction of critical distance between two MDOF systems subjected to seismic excitation in terms of artificial neural networks. Period. Polytech. Civ. Eng. 2017, 61, 516–529. [Google Scholar] [CrossRef]
  40. Stewart, J.P.; Fenves, G.L.; Seed, R.B. Seismic soil-structure interaction in buildings. I: Analytical methods. J. Geotech. Geoenviron. Eng. 1999, 125, 26–37. [Google Scholar] [CrossRef]
  41. Tabatabaiefar, H.R.; Clifton, T. Significance of considering soil-structure interaction effects on seismic design of unbraced building frames resting on soft soils. Aust. Geomech. J. 2016, 51, 55–64. [Google Scholar]
  42. Far, H. Dynamic behaviour of unbraced steel frames resting on soft ground. Steel Constr. 2019, 12, 135–140. [Google Scholar] [CrossRef]
  43. Tabatabaiefar, S.H.R.; Fatahi, B.; Samali, B. Finite difference modelling of soil-structure interaction for seismic design of moment resisting building frames. Aust. Geomech. J. 2012, 47, 113–120. [Google Scholar]
  44. Tabatabaiefar, H.R.; Fatahi, B.; Samali, B. Effects of dynamic soil-structure interaction on performance level of moment resisting buildings resting on different types of soil. In Proceedings of the 2011 Pacific Conference on Earthquake Engineering (PCEE), Auckland, New Zealand, 14–16 April 2011. [Google Scholar]
  45. Hamid Reza Tabatabaiefar, S.; Fatahi, B.; Samali, B. An empirical relationship to determine lateral seismic response of mid-rise building frames under influence of soil–structure interaction. Struct. Des. Tall Spec. Build. 2014, 23, 526–548. [Google Scholar] [CrossRef]
  46. Tabatabaiefar, H.R.; Fatahi, B.; Ghabraie, K.; Zhou, W.-H. Evaluation of numerical procedures to determine seismic response of structures under influence of soil-structure interaction. Struct. Eng. Mech. 2015, 56, 27–47. [Google Scholar] [CrossRef]
  47. Wang, L.; Shi, W.; Zhou, Y. Adaptive-passive tuned mass damper for structural aseismic protection including soil–structure interaction. Soil Dyn. Earthq. Eng. 2022, 158, 107298. [Google Scholar] [CrossRef]
  48. Wang, L.; Nagarajaiah, S.; Zhou, Y.; Shi, W. Experimental study on adaptive-passive tuned mass damper with variable stiffness for vertical human-induced vibration control. Eng. Struct. 2023, 280, 115714. [Google Scholar] [CrossRef]
  49. Wang, L.; Nagarajaiah, S.; Shi, W.; Zhou, Y. Seismic performance improvement of base-isolated structures using a semi-active tuned mass damper. Eng. Struct. 2022, 271, 114963. [Google Scholar] [CrossRef]
  50. Tabatabaiefar, H.R.; Massumi, A. A simplified method to determine seismic responses of reinforced concrete moment resisting building frames under influence of soil–structure interaction. Soil Dyn. Earthq. Eng. 2010, 30, 1259–1267. [Google Scholar] [CrossRef]
  51. Tabatabaiefar, H.R.; Fatahi, B. Idealisation of soil–structure system to determine inelastic seismic response of mid-rise building frames. Soil Dyn. Earthq. Eng. 2014, 66, 339–351. [Google Scholar] [CrossRef]
  52. Tabatabaiefar, H.R. Detail design and construction procedure of laminar soil containers for experimental shaking table tests. Int. J. Geotech. Eng. 2016, 10, 328–336. [Google Scholar] [CrossRef]
  53. Tabatabaiefar, S.H.R.; Fatahi, B.; Samali, B. Numerical and experimental investigations on seismic response of building frames under influence of soil-structure interaction. Adv. Struct. Eng. 2014, 17, 109–130. [Google Scholar] [CrossRef]
  54. Tabatabaiefar, H.R.; Mansoury, B. Detail design, building and commissioning of tall building structural models for experimental shaking table tests. Struct. Des. Tall Spec. Build. 2016, 25, 357–374. [Google Scholar] [CrossRef]
  55. Tabatabaiefar, H.R. Development of synthetic soil mixture for experimental shaking table tests on building frames resting on soft soils. Geomech. Geoengin. 2017, 12, 28–35. [Google Scholar] [CrossRef]
  56. Naserkhaki, S.; El-Rich, M.; Aziz, F.; Pourmohammad, H. Pounding between adjacent buildings of varying height coupled through soil. Struct. Eng. Mech. 2014, 52, 573–593. [Google Scholar] [CrossRef]
  57. Fatahi, B.; Van Nguyen, Q.; Xu, R.; Sun, W.-j. Three-dimensional response of neighboring buildings sitting on pile foundations to seismic pounding. Int. J. Geomech. 2018, 18, 04018007. [Google Scholar] [CrossRef]
  58. Ghandil, M.; Aldaikh, H. Damage-based seismic planar pounding analysis of adjacent symmetric buildings considering inelastic structure–soil–structure interaction. Earthq. Eng. Struct. Dyn. 2017, 46, 1141–1159. [Google Scholar] [CrossRef]
  59. Naserkhaki, S.; Aziz, F.N.; Pourmohammad, H. Earthquake induced pounding between adjacent buildings considering soil-structure interaction. Earthq. Eng. Eng. Vib. 2012, 11, 343–358. [Google Scholar] [CrossRef]
  60. Farghaly, A.A. Seismic analysis of adjacent buildings subjected to double pounding considering soil–structure interaction. Int. J. Adv. Struct. Eng. 2017, 9, 51–62. [Google Scholar] [CrossRef]
  61. Kontoni, D.-P.N.; Farghaly, A.A. Seismic response of adjacent unequal buildings subjected to double pounding considering soil-structure interaction. Computation 2018, 6, 10. [Google Scholar] [CrossRef]
  62. Naserkhaki, S.; El Rich, M.; Abdul, A.F.; Pourmohammad, H. Separation gap, a critical factor in earthquake induced pounding between adjacent buildings. Asian J. Civ. Eng. (Build. Hous.) 2013, 14, 881–898. [Google Scholar]
  63. Li, P.; Liu, S.; Lu, Z. Studies on pounding response considering structure-soil-structure interaction under seismic loads. Sustainability 2017, 9, 2219. [Google Scholar] [CrossRef]
  64. Shakya, K.; Wijeyewickrema, A.C. Mid-column pounding of multi-story reinforced concrete buildings considering soil effects. Adv. Struct. Eng. 2009, 12, 71–85. [Google Scholar] [CrossRef]
  65. Shakya, K.; Wijeyewickrema, A.C.; Ohmachi, T. Mid-column seismic pounding of reinforced concrete buildings in a row considering effects of soil. In Proceedings of the 14th World Conference on Earthquake Engineering, Beijing, China, 12–17 October 2008; pp. 12–17. [Google Scholar]
  66. Miari, M.; Jankowski, R. Analysis of pounding between adjacent buildings founded on different soil types. Soil Dyn. Earthq. Eng. 2022, 154, 107156. [Google Scholar] [CrossRef]
  67. Miari, M.; Jankowski, R. Incremental dynamic analysis and fragility assessment of buildings founded on different soil types experiencing structural pounding during earthquakes. Eng. Struct. 2022, 252, 113118. [Google Scholar] [CrossRef]
  68. Miari, M.; Jankowski, R. Pounding between high-rise buildings founded on different soil types. In Proceedings of the 17th World Conference on Earthquake Engineering, Sendai, Japan, 27 September 2021. [Google Scholar]
  69. ASCE Standard ASCE/SEI 7-10; Minimum Design Loads for Buildings and Other Structures. American Society of Civil Engineers: Reston, VA, USA, 2013.
  70. Miari, M.; Jankowski, R. Analysis of floor-to-column pounding of buildings founded on different soil types. Bull. Earthq. Eng. 2022, 20, 7241–7262. [Google Scholar] [CrossRef]
  71. Miari, M.; Jankowski, R. Shaking table experimental study on pounding between adjacent structures founded on different soil types. Structures 2022, 44, 851–879. [Google Scholar] [CrossRef]
  72. Miari, M.; Jankowski, R. Seismic gap between buildings founded on different soil types experiencing pounding during earthquakes. Earthq. Spectra 2022, 38, 2183–2206. [Google Scholar] [CrossRef]
  73. Miari, M.; Jankowski, R. Analysis of the effect of the seismic gap on the response of buildings experiencing pounding during earthquakes. AIP Conf. Proc. 2023, 2848, 020021. [Google Scholar]
  74. Miari, M.; Jankowski, R. Assessment of codes recommendations for the evaluation of the seismic gap of buildings founded on different soil types. AIP Conf. Proc. 2023, 2848, 020022. [Google Scholar]
  75. Yaghmaei-Sabegh, S.; Jalali-Milani, N. Pounding force response spectrum for near-field and far-field earthquakes. Sci. Iran. 2012, 19, 1236–1250. [Google Scholar] [CrossRef]
  76. Jaradat, Y.; Far, H.; Saleh, A. Examining the adequacy of separation gaps between adjacent buildings under near-field and far-field earthquakes. WIT Trans. Built Environ. 2021, 202, 59–71. [Google Scholar]
  77. Bathe, K.-J.; Wilson, E.L. Numerical Methods in Finite Element Analysis; Prentice Hall: Hoboken, NJ, USA, 1976. [Google Scholar]
  78. Hao, H. Analysis of seismic pounding between adjacent buildings. Aust. J. Struct. Eng. 2015, 16, 208–225. [Google Scholar] [CrossRef]
  79. Pacific Earthquake Engineering Research Centre (PEER NGA DATABASE). Available online: https://ngawest2.berkeley.edu/ (accessed on 8 August 2023).
  80. ETABS, version 18; Computers & Structures Inc.: Berkeley, CA, USA, 2018.
  81. DesRoches, R.; Muthukumar, S. Effect of pounding and restrainers on seismic response of multiple-frame bridges. J. Struct. Eng. 2002, 128, 860–869. [Google Scholar] [CrossRef]
  82. Bendat, J.; Piersol, A. Random Data: Analysis and Measurement Procedures; Wiley-Intersci: New York, NY, USA, 1971; Volume 1, p. 75. [Google Scholar]
  83. Ibrahimbegovic, A.; Wilson, E.L. Simple numerical algorithms for the mode superposition analysis of linear structural systems with non-proportional damping. Comput. Struct. 1989, 33, 523–531. [Google Scholar] [CrossRef]
  84. Jaradat, Y.; Far, H. Optimum stiffness values for impact element models to determine pounding forces between adjacent buildings. Struct. Eng. Mech. 2020, 77, 293–304. [Google Scholar]
Figure 1. Plan views of the considered models.
Figure 1. Plan views of the considered models.
Applsci 13 09741 g001
Figure 2. The correlation factor when the colliding buildings are founded on soil type A versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Figure 2. The correlation factor when the colliding buildings are founded on soil type A versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Applsci 13 09741 g002
Figure 3. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type A.
Figure 3. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type A.
Applsci 13 09741 g003
Figure 4. The correlation factor when the colliding buildings are founded on soil type B versus T1/T2. Both lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Figure 4. The correlation factor when the colliding buildings are founded on soil type B versus T1/T2. Both lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Applsci 13 09741 g004
Figure 5. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type B.
Figure 5. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type B.
Applsci 13 09741 g005aApplsci 13 09741 g005b
Figure 6. The correlation factor when the colliding buildings are founded on soil type C versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Figure 6. The correlation factor when the colliding buildings are founded on soil type C versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Applsci 13 09741 g006
Figure 7. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type C.
Figure 7. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type C.
Applsci 13 09741 g007
Figure 8. The correlation factor when the colliding buildings are founded on soil type D versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Figure 8. The correlation factor when the colliding buildings are founded on soil type D versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Applsci 13 09741 g008
Figure 9. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type D.
Figure 9. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type D.
Applsci 13 09741 g009
Figure 10. The correlation factor when the colliding buildings are founded on soil type E versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Figure 10. The correlation factor when the colliding buildings are founded on soil type E versus T1/T2. All lines correspond to the same thing (correlation factor). The graph of the correlation factor is not continuous.
Applsci 13 09741 g010
Figure 11. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type E.
Figure 11. Comparison between the actual trend and the proposed equation for the correlation factor when the colliding buildings are founded on soil type E.
Applsci 13 09741 g011
Table 1. Dynamic properties of the considered buildings.
Table 1. Dynamic properties of the considered buildings.
Building NumberNumber of StoreysPeriod (s)Frequency (Hz)Building NumberNumber of StoreysPeriod (s)Frequency (Hz)
110.204.90231111.9790.505
220.3722.68832122.1710.461
330.5491.82133132.3680.422
440.7291.37234142.5670.390
550.911.09935152.7710.361
661.0940.91436162.9790.336
771.2790.78237173.1910.313
881.4670.68238183.4070.294
991.6580.60339193.6280.276
10101.8510.54040203.8530.260
11112.0480.4884110.1975.076
12122.2470.4454220.3632.755
13132.450.4084330.5381.859
14142.6570.3764440.7171.395
15152.8680.3494550.8981.114
16163.0840.3244661.0820.924
17173.3030.3034771.270.787
18183.5280.2834881.4610.684
19193.7570.2664991.6570.604
20203.9910.25150101.8570.539
2110.1955.12851112.0620.485
2220.3582.79352122.2720.440
2330.5291.89053132.4890.402
2440.7031.42254142.7110.369
2550.8791.13855152.940.340
2661.0560.94756163.1760.315
2771.2360.80957173.420.292
2881.4180.70558183.6710.272
2991.6020.62459193.9290.255
30101.7890.55960204.1960.238
Table 2. Earthquake records used in the study.
Table 2. Earthquake records used in the study.
EarthquakeMagnitudePGA (g)StationYear
Kobe6.90.27577Kobe University1995
Parkfield6.190.01175San Luis Obispo1966
San Fernando6.610.025762516 Via Tejon PV1971
Loma Prieta6.930.07871APEEL 3E Hayward CSUH1989
Imperial Valley6.530.28726Agrarias1979
PGA—peak ground acceleration.
Table 3. Definition of the site classes.
Table 3. Definition of the site classes.
Site Class DescriptionSite Class Definition
AHard rock
BRock
CVery dense soil and soft rock
DStiff soil
ESoft clay soil
Table 4. Comparison between the exact required gap and the gap evaluated by the proposed equations.
Table 4. Comparison between the exact required gap and the gap evaluated by the proposed equations.
Building 1 NumberBuilding 2 NumberT1 (s)T2 (s)Soil TypeU1 (mm)U2 (mm)Exact Required Seismic Gap (mm) Gap Based on the Proposed Equations (mm)Ratio
21220.20.36A2.5611.414.054.631.14
21230.20.53B7.8254.1619.5820.331.04
21230.20.53C8.2871.1228.5933.61.18
21230.20.53D8.3471.5128.928.941
21240.20.7E6.98113.9832.3743.381.34
22230.360.53A11.4143.832.5740.731.25
22230.360.53B31.3154.1649.5650.911.03
22230.360.53C31.9771.1260.466.011.09
22250.360.88D30.84145.1779.788.051.1
22240.360.7E28.3113.9889.5590.231.01
24250.70.88A5673.1477.8476.950.99
24250.70.88B69.7890.9494.1495.751.02
24250.70.88C96.83117.13103.02124.541.21
24250.70.88D111.74145.17144.09146.961.02
24260.71.06E113.98261.62241.92249.351.03
Table 5. Comparison between the exact required gap and the gap evaluated by the ABS formula.
Table 5. Comparison between the exact required gap and the gap evaluated by the ABS formula.
Building 1 NumberBuilding 2 NumberSoil TypeU1 (mm)U2 (mm)ABS (mm)Required Gap (mm)Ratio
2122A2.5611.4113.974.053.45
2123B7.8254.1661.9719.583.17
2123C8.2871.1279.3928.592.78
2123D8.3471.5179.8528.902.76
2124E6.98113.98120.9632.373.74
2223A11.4143.8055.2132.571.69
2223B31.3154.1685.4749.561.72
2223C31.9771.12103.0860.401.71
2225D30.84145.17176.0179.702.21
2224E28.30113.98142.2889.551.59
2425A56.0073.14129.1477.841.66
2425B69.7890.94160.7294.141.71
2425C96.83117.13213.95103.022.08
2425D111.74145.17256.91144.091.78
2426E113.98261.62375.61241.921.55
Table 6. Comparison between the exact required gap and the gap evaluated by the SRSS formula.
Table 6. Comparison between the exact required gap and the gap evaluated by the SRSS formula.
Building 1 NumberBuilding 2 NumberSoil TypeU1 (mm)U2 (mm)SRSS (mm)Required Gap (mm)Ratio
2122A2.5611.4111.694.052.89
2123B7.8254.1654.7219.582.80
2123C8.2871.1271.5928.592.50
2123D8.3471.5171.9928.902.49
2124E6.98113.98114.1932.373.53
2223A11.4143.8045.2632.571.39
2223B31.3154.1662.5649.561.26
2223C31.9771.1277.9760.401.29
2225D30.84145.17148.4179.701.86
2224E28.30113.98117.4489.551.31
2425A56.0073.1492.1277.841.18
2425B69.7890.94114.6394.141.22
2425C96.83117.13151.97103.021.48
2425D111.74145.17183.19144.091.27
2426E113.98261.62285.37241.921.18
Table 7. Comparison between the exact required gap and the gap evaluated by the DDC formula.
Table 7. Comparison between the exact required gap and the gap evaluated by the DDC formula.
Building 1 NumberBuilding 2 NumberSoil TypeU1 (mm)U2 (mm)DDC (mm)Required Gap (mm)Ratio
2122A2.5611.4111.634.052.87
2123B7.8254.1654.6619.582.79
2123C8.2871.1271.5328.592.50
2123D8.3471.5171.9228.902.49
2124E6.98113.98114.1632.373.53
2223A11.4143.8044.6032.571.37
2223B31.3154.1660.9249.561.23
2223C31.9771.1276.2160.401.26
2225D30.84145.17148.1079.701.86
2224E28.30113.98116.9089.551.31
2425A56.0073.1484.4577.841.08
2425B69.7890.94105.0894.141.12
2425C96.83117.13139.09103.021.35
2425D111.74145.17167.92144.091.17
2426E113.98261.62279.56241.921.16
Table 8. Comparison between the exact required gap and the gap evaluated by the Australian Code formula.
Table 8. Comparison between the exact required gap and the gap evaluated by the Australian Code formula.
Building 1 NumberBuilding 2 NumberSoil TypeU1 (mm)U2 (mm)Australian Code Formula (mm)Required Gap (mm)Ratio
2122A2.611.460.04.114.81
2123B7.854.290.019.64.60
2123C8.371.190.028.63.15
2123D8.3471.5190.028.903.11
2124E6.98113.98120.032.373.71
2223A11.4143.8090.032.572.76
2223B31.3154.1690.049.561.82
2223C31.9771.1290.060.401.49
2225D30.84145.17150.079.701.88
2224E28.30113.98120.089.551.34
2425A56.0073.14150.077.841.93
2425B69.7890.94150.094.141.59
2425C96.83117.13150.0103.021.46
2425D111.74145.17150.0144.091.04
2426E113.98261.62180.0241.920.74
Table 9. Comparison between the exact required gap and the gap evaluated by the Naderpour et al. [39] formula.
Table 9. Comparison between the exact required gap and the gap evaluated by the Naderpour et al. [39] formula.
Building 1 NumberBuilding 2 NumberSoil TypeU1 (mm)U2 (mm)Naderpour et al. (mm)Required Gap (mm)Ratio
2122A2.611.411.44.12.81
2123B7.854.260.619.63.09
2123C8.371.177.828.62.72
2123D8.3471.5178.3028.902.71
2124E6.98113.98125.6632.373.88
2223A11.4143.8048.6432.571.49
2223B31.3154.1670.6549.561.43
2223C31.9771.1286.7460.401.44
2225D30.84145.17221.4279.702.78
2224E28.30113.98156.5189.551.75
2425A56.0073.14115.6877.841.49
2425B69.7890.94143.9694.141.53
2425C96.83117.13191.44103.021.86
2425D111.74145.17230.11144.091.60
2426E113.98261.62461.42241.921.91
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Miari, M.; Jankowski, R. Effective Equations for the Optimum Seismic Gap Preventing Earthquake-Induced Pounding between Adjacent Buildings Founded on Different Soil Types. Appl. Sci. 2023, 13, 9741. https://doi.org/10.3390/app13179741

AMA Style

Miari M, Jankowski R. Effective Equations for the Optimum Seismic Gap Preventing Earthquake-Induced Pounding between Adjacent Buildings Founded on Different Soil Types. Applied Sciences. 2023; 13(17):9741. https://doi.org/10.3390/app13179741

Chicago/Turabian Style

Miari, Mahmoud, and Robert Jankowski. 2023. "Effective Equations for the Optimum Seismic Gap Preventing Earthquake-Induced Pounding between Adjacent Buildings Founded on Different Soil Types" Applied Sciences 13, no. 17: 9741. https://doi.org/10.3390/app13179741

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop