Response Analysis of RC Bridges with Different Deck Slabs to Seismic Motions with Forward Directivity and Fling Step

Abstract

The presence of fling step and forward directivity, as distinctive features of near-fault ground motions, can lead to substantial alterations in the seismic performance of reinforced concrete bridges. This study examines the seismic performance of reinforced concrete bridges with various deck slabs subjected to two distinct sets of earthquake events. One set is of forward-directivity records, and the other set is of fling-step records. Three-dimensional finite element models for the analyzed reinforced concrete bridges are constructed using the CSI-BRIDGE v26 software package, incorporating appropriate material and geometric nonlinearities. The developed bridge models are of three spans and have different deck slab systems, namely, box girder, RC girder, and hollow core slab bridges. Extensive nonlinear response time-history analyses of various configurations representing the examined RC bridges are performed to elucidate the impact of seismic loads, including forward-directivity and fling-step records, on the seismic response of supporting columns and deck slabs in the longitudinal direction. The numerical simulations indicate that ground vibrations with fling step significantly amplify the seismic response demands in both substructure and superstructure elements. Moreover, bridge type substantially influences the induced seismic responses, particularly supporting columns and deck slabs.

1. Introduction

Bridges, worldwide, provide vital connections to regional and national transportation systems and are essential for economic growth. Many of these bridges are built in areas with noticeable seismic risks. Accordingly, the performance of RC bridges in response to strong earthquake actions is essential for sustaining their structural and functional safety as well as life safety. It has been noted that structures exposed to near-fault earthquake motions, such as 1999 Kocaeli, Düzce, and 1999 Chi-Chi, experience more damage than expected [1]. Extensive structural damage has been attributed to the existence of velocity pulses, as one of the most important characteristics of earthquake motions from near-fault regions, which result in long-period responses compared with earthquake motions from far-fault regions [2,3,4]. The seismic response of bridges is also highly dependent on the stiffness and boundary constraints of the supports, which influence force distribution and energy dissipation mechanisms. Recent investigations [5] have demonstrated that the flexibility of bearings and foundation systems can significantly modify modal characteristics and alter deck–pier interaction during strong ground motion.

Ground motions from near-fault regions impose considerable demand on structures due to the existence of velocity pulses. Based on fault rupture, the velocity pulse can be classified as either as forward directivity or fling step. The velocity pulses of records with forward directivity are identified by a-sided pulses and have no permanent displacement of the ground. The velocity pulses of fling-step records are identified by a unilateral pulse in the depicted velocity time history, resulting in a persistent static displacement of the ground [6]. The existence of such special characteristics of earthquakes in near-fault regions may result in substantial damage to structures in their vicinity. The impact of velocity pulses on the induced responses of various structural kinds has been examined. Mahmoud et al. [7] examined the influence of floor systems on the responses of buildings subjected to records from near-fault regions characterized by forward-directivity and fling-step effects. The captured structural responses of the modeled buildings under earthquakes with fling step were found to be significantly higher compared with the corresponding responses to records with forward directivity. Gorai and Maity [8] conducted a comprehensive study on the seismic response of concrete gravity dams subjected to specific earthquake motions in both near-fault and far-fault areas. Linear dynamic analysis was conducted together with qualitative assessment of performance and damage levels. Analysis of the obtained results demonstrated that the obtained responses of gravity dams under near-fault motions are substantially different from the corresponding results under far-fault motions.

Park et al. [9] conducted a study to investigate the influence of near-fault records on the Bolu Viaduct under the 1999 Düzce ground motion. The results obtained from the study indicated that the existence of velocity pulses resulted in significantly large deformations. Similar studies investigating the vulnerability of structures exposed to near-fault records and the significant increase in the displacement demand have been carried out [10,11,12,13]. Conducted research works, in the past regarding bridges, revealed that records with pulses generated near to the rapture have significant influences on the induced seismic responses of bridges compared with those responses resulting from bridges excited by far-fault earthquakes [14,15,16,17,18,19,20]. Recently, some research work has been carried out to study the performance of bridges in response to seismic actions. Chen et al. [21] studied the response of tall pier bridges to earthquake motions from near-fault regions by employing developed analytical models calibrated by shake table tests. The seismic reaction of continuous rigid-frame bridges to specific recordings from near-fault locations has been examined, revealing a significant increase in the seismic response under pulse-like records compared to non-pulse-like records [22]. Near-fault motions of different intensity levels have been utilized to perform simulation analysis of the responses of long-span and asymmetrical suspension bridges to investigate the vibration mechanism of these types of bridges considering the simultaneous effect of soil–structure interaction and velocity pulse [23]. The study demonstrated that installing damper elements can significantly minimize the induced displacement of the main girder in the longitudinal direction. The shock-absorption capacity of the installed dampers differs according to the intensity of the applied earthquakes. Xin et al. [24] explored the behavior of a concrete arch bridge with a long span excited by three types of seismic excitations including recorded earthquakes, residual components, and idealized pulse models. A finite-element model of the bridge in three dimensions considering geometric and material nonlinearities was developed to perform comparative and parametric analysis to obtain some insight into the impact of various fling-step record components. The analysis of the results highlighted the substantial impact of the related properties of fling-step records on the induced reaction and performance condition. A number of studies have been undertaken to evaluate the performance of concrete-filled steel tubular arch bridges under various seismic excitations [25,26,27].

The above literature clearly indicates the existence of a large gap between the performance of those bridge structures designed considering and ignoring the characteristics of the earthquakes in the vicinity. Recent advances in seismic assessment of bridges emphasize performance-based and fragility-based frameworks that quantify damage states and reliability under near-fault actions [28,29,30]. Such methodologies integrate experimental and numerical techniques to capture nonlinear behavior and probabilistic uncertainties, forming the basis for resilience-oriented bridge design. Following the above-cited research works, the scope of the current research article is to perform a response analysis of RC bridges with different deck slabs under seismic motions with forward directivity and fling step. Firstly, numerical analysis models of the considered RC bridges, namely, box girder, RC girder, and hollow core slab bridges, are developed with the aid of the CSI-BRIDGE software package using appropriate material and geometric nonlinearity considerations. Subsequently, fourteen sets of earthquake data, classified into two categories, forward-directivity and fling-step motions, are used to conduct simulation analysis based on the produced models. Finally, the recorded seismic reactions of the bridge models to the selected set of data are thoroughly examined.

2. Bridge Modeling

Figure 1 presents the general analytical framework adopted in this study. The process includes: (1) the selection of representative bridge configurations; (2) finite element modeling using CSI-BRIDGE; (3) the selection and scaling of near-fault earthquake records; (4) nonlinear time-history analysis; and (5) evaluation of dynamic responses and comparative interpretation.

This section introduces the design and configurations of bridge elements as well as the numerical modeling of these elements using the CSI-BRIDGE software package as one of the available finite element tools [31]. Different models representing a box girder bridge and two other bridges with RC girders and a hollow core slab are developed. All the developed bridge models have the same span length and deck width.

2.1. Bridge Design and Configurations

Figure 2 presents schematic two-dimensional views of the herein considered bridge models in which the one with a box girder represents a typical symmetrical bridge configuration with three spans in Damanhur City in the northern part of Egypt. The bridge was designed in 2014 and constructed prior to mid-2017. The bridge was designed to comply with the Egyptian Code devoted to reinforced concrete bridges [32]. The selected bridges for the study are of three spans as shown in Figure 1. All the considered models have the same span of 30.0 m in length and a deck width of 11.5 m. The deck has a depth of about 2.0 m. The deck, supporting columns, and abutments are the main structural elements of the bridge where the deck can be either a box girder, hollow core, or RC girder. These different deck types, as presented in Figure 3, are considered for response evaluation. The considered bridges are supported by portal frame piers and abutments of dimensions and reinforcement as shown in Figure 4 and Figure 5, respectively. For the RC girder-type bridge, the superstructure of the bridge is composed of a slab of thickness 350 mm carried by girders that are spaced at 1.6 m. Seven cast in situ RC girders are used to form the bridge deck with 2.0 m total depth including the concrete slab. The superstructure part of the bridge stands on elastomeric pads at each supporting abutment and stands monolithically at each supporting pier. The upper portion of the pier is an RC rectangular cap of 6.0 m length and 1.0 m width. Detailed dimensions and reinforcement bars of a typical designed pier are provided in Figure 4.

The utilized bar diameter for longitudinal reinforcement is 32 mm. For the transverse reinforcement, a bar diameter of 12 mm is used. The ratio of longitudinal reinforcement of the pier column is 2.26% of the cross-section gross area. On the other hand, the volumetric reinforcement ratio of the spirals is 0.8%. The lower part of the pier with the configuration shown in the figure is reinforced with 11 Φ 32 distributed around each curved part and 28 Φ 32 around each straight part of the pier. Φ 12@100 mm is installed as transverse spiral reinforcements at the start and end portions of the pier, while Φ 12@125 mm is installed as transverse spiral reinforcements at the middle portion as shown in Figure 4. The cap seat length of the supported girder in the longitudinal direction is 1.0 m. The designed reinforcement details of the longitudinal and cross-sections of the supporting abutment as well as the geometric configurations are provided in Figure 5. The piers and abutments are supported on deep foundations which consist of circular bearing piles of diameter 1.0 m. The bridge foundations consist of reinforced-concrete piles embedded in dense sand–gravel layers. The pile-tip level lies well within the stiff stratum, and preliminary impedance estimates indicate negligible foundation compliance. Accordingly, soil–structure interaction (SSI) effects were disregarded for this phase of the study. Future work will incorporate SSI using substructure and frequency-dependent impedance-function formulations [33].

2.2. Finite Element Modeling

Different bridge models have been developed and analyzed for the purpose of investigating the influence of near-fault records with fling step and forward directivity on the induced responses. These models are of three spans and have different deck slab systems supported by columns of 12.0 m height. All the developed models have intermediate monolithic piers and two edge abutments with three bearings each. The modeled bridge width provides three traffic lanes. Figure 6 presents the developed three-span bridge models using the CSI-BRIDGE software package considering the geometric characteristics, boundary conditions, material properties, mass distribution, foundations, and all bridge components. The modeling approach employed, and the assumptions of the boundary, comply with the previously proven procedures of the shake-table and field tests on identical RC bridges [7,21], which guarantees the accuracy of the simulated dynamic behavior.

2.3. Modeling of Bridge Elements

The bridge deck has been modeled using the grillage method, in which the deck is idealized as a series of beam elements (or grillages) connected and restrained at their joints. Prestressing effects were represented implicitly through equivalent sectional stiffness values derived from the design documents. For the box girder bridge, post-tensioning tendons were modeled by adjusting the effective modulus of elasticity and section inertia. In the RC and hollow core slab bridges, pretensioning was considered through the inclusion of pre-compression stresses corresponding to strand forces. Such a combination of longitudinal and transverse beam elements is responsible for the longitudinal and transverse stiffness for the continuous deck assuming linear elastic behavior. For each grillage element, the properties of the section are calculated and assigned to linear elastic beam column elements with tributary mass lumped at each node of the grillage system. For the box girder bridge modeling, the deck section is dived into 3 webs as shown in Figure 7.

For the hollow core bridge modeling, the deck of the bridge is dived into seven webs as can be seen in Figure 8. Similar to the hollow core bridge, the RC girder bridge deck is divided into seven RC beams as shown in Figure 9. Each web, segment, or girder has its own local axis that passes through its centroid. However, for all types of bridges, the properties of such a segment or web are calculated with respect to the neutral axis of the whole section. The grillage model incorporated transverse diaphragms represented as beam elements connecting the main longitudinal girders at each pier and mid-span. These members ensure appropriate transverse load transfer and stiffness representation, consistent with the physical bridge configuration. The pier–deck connection is an integrated connection devoid of bearings. A nonlinear three-dimensional beam–column element is utilized to simulate the bridge columns. The bridge piers were modeled using nonlinear beam–column elements capable of capturing inelastic flexural behavior. A bilinear moment–curvature relationship was defined based on the concrete compressive strength, steel yield stress, and reinforcement ratios. Plastic hinges were assigned at pier bases to represent potential yielding zones under severe seismic excitation. In the abutment modeling, a stiff element matching the superstructure width is employed, incorporating three elastomeric bearings to provide lateral and vertical displacements at the expansion joint sites. The performance of the elastomeric bearing is governed by its ability to undergo shear deformations prior to sliding.

The deck components were modeled as linear-elastic members because the considered ground motions (PGA = 0.125 g) correspond to moderate seismic intensity, keeping stresses within elastic limits. Nevertheless, nonlinear hinge modeling of cracking and stiffness degradation will be included in future work. The pier–deck connection was assumed fully monolithic, consistent with the as-built configuration where the pier cap and deck slab are cast together. Partial fixity or localized yielding could reduce overall stiffness and redistribute bending moments, which will be investigated in forthcoming studies.

3. Material Properties

3.1. Concrete and Steel Properties

In order to simulate the real concrete behavior during the analysis process, the utilized CSI-Bridge software package requires linear and multilinear isotropic as well as some additional concrete material properties. The concrete properties are established based on the nominal values specified in the construction plans for the preliminary examination of the bridge model. The specified compressive strength of concrete is f_cu = 40 MPa for both the superstructure and substructure components of the bridge, with a corresponding elastic modulus of E_c = 27,828 MPa. The concrete utilized herein has an ascribed tensile strength of around 3.80 MPa and a Poisson’s ratio of 0.2.

For steel bars used in the reinforcement of concrete elements, a yield strength of 360 MPa is utilized for the main and transverse reinforcement, respectively. The modulus of elasticity for the steel reinforcing bars utilized in the analysis was 200,000 MPa.

The herein-employed CSI-Bridge software package is capable of handling concrete and steel material models. The materials models produced by the software are presented in Figure 9. The provided model for concrete presents the relation between stress and strain in both the compression and tension zones; Figure 10a. For the concrete compression part, a parabolic curve simulates the stress–strain relation up to the specified design strength value. The stress–strain relation of steel in both tension and compression shows a linear elastic behavior before reaching the yielding point; Figure 10b. The figure also shows that a further increase in the applied stress yields an increase in the induced strain till the formation of a strain-hardening region before reaching the ultimate strength point. A brief sensitivity check was conducted by varying the concrete compressive strength by ±10%. The resulting variation in maximum displacement demands was below 6%, confirming that the overall conclusions are not significantly affected by moderate material uncertainty.

3.2. Elastomeric Bearings

The superstructure of the considered bridge types is seated on elastomeric bearings at each abutment location allowing the bridge to move freely in the longitudinal direction at bearing locations up to the maximum elastomer flexibility. The elastomeric bearing behavior is controlled by the capacity of shear deformations. During the modeling process of the bridge model, the isolation system is represented by a link element of specified stiffness values. The elastomeric links were assumed linear because the computed shear strains remained within the elastic limit under the applied loading level. Nonlinear hysteretic or frictional formulations [10] may be required for stronger shaking and will be examined in future research. Figure 11 presents the idealized force–deformation relationship of the isolation system in which $Q$ defines the characteristic strength, $k_1$ represents the stage of elastic stiffness, and $k_2$ denotes the stage of post-elastic stiffness. The yield force and the corresponding yield displacement for the isolator are denoted by $f_y$ and $d_y$, respectively. Similarly, the maximum force and the maximum displacement induced by the isolator are identified as $f_{max}$ and $d_{max}$. The isolation period, $T$, can be calculated in terms of the weight carried by the isolator, $W$, the acceleration of gravitational, g, and stiffness, $k_2$, as:

$$T=2\pi \sqrt{{\displaystyle \frac{W}{k_{2}g}}}$$

(1)

4. Earthquake Records

The ground motion dataset used in the current study consists of 14 near-fault earthquake records divided into records of fling-step and forward-directivity characteristics. The main difference between the two classes of records is the existence of a one-sided pulse in the velocity time history of the fling records, sometimes called reversing form, (see the plotted velocity time history of Chi-Chi-EW TCU052 in Figure 12). Such a one-sided pulse is responsible for generating a permanent static displacement in the ground. However, earthquake motions with forward directivity contain a two-sided pulse, non-reversing form, in its velocity time history, as can be seen in the velocity time history of Northridge-RRS presented in Figure 12, and, consequently, there is no permanent displacement of the ground.

The forward-directivity set of records is collected from different regions, namely, Northridge, Loma Prieta, Cape Mendocino, Erzincan, and Tabas, with different magnitudes. The remaining seven sets are characterized with fling-step displacement and collected from Chi-Chi Taiwan ground motions with a magnitude of 7.6. Peak ground velocity (PGV), peak ground acceleration (PGA), and the PGA/PGV ratio are presented in

Table 1. Forward-directivity input records.

Seismic Event (Documentation)	Position	PGA (g)	PGV (cm/sec)	PGD (cm)	PGA/PGV	${\mathbf{M}}_{\mathbf{w}}$	$$\begin{gathered} {\mathbf{t}}_{\mathbf{d}} \\ \left(\mathit{s}\right) \end{gathered}$$
Cape Mendocino	Petrolia-90	0.66	88.5	33.2	0.75	7.0	25
Erzincan-EW	Pacoima Dam 279	0.50	78.12	28.02	0.64	6.7	20
Tabas	Ferdows	0.87	123.3	93.57	0.71	7.3	32
Loma Prieta	LGPC-00	0.57	96.05	41.92	0.59	6.9	25
Loma Prieta	Lexdam-00	0.41	95.73	30.27	0.43	6.9	15
Northridge	Rinaldi-275	0.87	147.92	41.86	0.59	6.7	15
Northridge	Oliveview-360	0.84	129.31	32.11	0.65	6.7	15

PGD, peak ground displacement; M_w, magnitude; t_d, time duration.

for records of forward directivity and

Table 2. Fling-step input records.

Seismic Event (Documentation)	Position	PGA (g)	PGV (cm/sec)	PGD (cm)	PGA/PGV	${\mathbf{M}}_{\mathbf{w}}$	$$\begin{gathered} {\mathbf{t}}_{\mathbf{d}} \\ \left(\mathit{s}\right) \end{gathered}$$
Chi-Chi NS	TCU-052	0.45	172.24	226.5	0.26	7.6	90
Chi-Chi EW	TCU-052	0.36	151.13	210.3	0.24	7.6	90
Chi-Chi EW	TCU-065	0.79	125.28	108.7	0.63	7.6	90
Chi-Chi EW	TCU-068	0.51	248.50	297.0	0.21	7.6	90
Chi-Chi NS	TCU-068	0.37	263.96	421.0	0.14	7.6	90
Chi-Chi EW	TCU-074	0.59	70.33	21.31	0.84	7.6	90
Chi-Chi NS	TCU-084	0.43	48.07	20.44	0.89	7.6	90

PGD, peak ground displacement; M_w, magnitude; t_d, time duration.

for records with fling step. The computed ratios of PGA/PGV confirm that nearly all the chosen records possess low-frequency content [34]. For the purpose of simulation analysis, the selected records are scaled to have a PGA of 0.125 g to fit Cairo city. The Pacific Earthquake Engineering Research Center (PEER) is the source of all the selected records with forward-directivity and fling-step characteristics. The records were uniformly scaled to a PGA = 0.125 g to represent the design intensity of Cairo city and to maintain a consistent comparison between motion types. While spectral-matching or energy-based scaling could refine the input compatibility [35], PGA scaling was adequate for the comparative objectives of this work. The analyses focused on the longitudinal component, which typically governs bridge response to near-fault pulses. Transverse and vertical excitations were excluded to isolate the principal response mechanism, and their influence is acknowledged as a limitation for future three-component simulations. The selection of ground motions followed a systematic approach considering the magnitude (M_w ≥ 6.5), rupture distance (<20 km), and presence of forward-directivity or fling-step pulses, ensuring compatibility with the local hazard conditions of Cairo city. Record-Selection Criteria: Fourteen near-fault recordings were selected with M_w ≥ 6.5, PGV > 50 cm/s, and pulse periods between 2 and 15 s. The mean and coefficient of variation (COV) for key parameters are summarized in

Table 3. Statistical summary (mean ± COV) of ground motion parameters for near-fault records.

Parameter	Forward-Directivity Records	Fling-Step Records
PGA (g)	0.125 ± 0.18	0.125 ± 0.20
PGV (cm/s)	72.5 ± 0.22	85.4 ± 0.25
PGA/PGV Ratio	0.0017 ± 0.15	0.0015 ± 0.18

, confirming representativeness [36,37]. A similar set of records has been utilized to investigate the performance of RC buildings [38], a building’s response with different floor systems [7], and RC coupled shear walls [39].

5. Model Verification

5.1. Static Verification

For the purpose of authenticating grillage model reliability and accuracy, a comparison was performed between box girder, RC beams, and hollow core deck slab bridge 3D Finite Element Models (FEMs). Comparison was made to precisely account for the behavior of deck slab elements, diaphragms, substructure, and torsional effects. The grillage model determined a total dead load deflection of 16.60 mm, 19.00 mm, and 19.70 mm for box girder, RC beams, and hollow core deck slab models, respectively, as shown in Figure 13, while the 3D FEM determined a corresponding deflection of 17.10 mm, 17.90 mm, and 19.30 mm as shown in Figure 14. The large percentages between the two models, 97.10%, 94.20%, and 97.90%, reflect the accuracy of the grillage method analysis and findings.

5.2. Dynamic Validation

In addition to static deflection comparison, a modal analysis was performed for the grillage and detailed 3D FEM models.

Table 4. Comparison of 1st–3rd natural frequencies and mode participation factors between 3D FEM and grillage models.

Mode	3D FEM Frequency (Hz)	Grillage Model Frequency (Hz)	Difference (%)	Mode Participation Factor (%)
1st	2.45	2.4	2.0	68.5
2nd	3.88	3.81	1.8	22.4
3rd	5.72	5.6	2.1	9.1

lists the first three natural frequencies and corresponding mode participation factors. The deviation in the fundamental frequency is less than 5%, and the mode-shape patterns agree well, validating the dynamic adequacy of the grillage approach.

6. Results and Discussions

6.1. Column’s Response

The column’s horizontal displacement responses obtained along its twelve-meter height for the considered different bridge models, in terms of box girder, RC girder, and hollow core slab bridges, under the excitation of forward-directivity and fling-step records are presented in a comparative way in Figure 15. The larger responses of the hollow core system are primarily attributed to its lower global stiffness and higher mass-to-stiffness ratio, which amplify displacement and rotation demands. Conversely, the box girder system exhibits greater torsional and flexural rigidity, effectively reducing deformation transmission to the piers. These mechanical distinctions explain the observed 30–40% difference among deck configurations. The displacement responses are predominantly governed by the first mode of vibration, exhibiting pronounced peak displacement at the apex of the column height across all examined bridge models and seismic recordings. The captured average peak displacements at the top of the column under fling-step records are 78.33 mm, 89.70 mm, and 102.18 mm for the box girder, RC girder, and hollow core deck slabs, respectively. The corresponding values under the forward-directivity records are, respectively, 50.1 mm, 59.54 mm, and 64.96 mm. These findings show that the captured column’s displacement under fling-step records is significantly higher than those induced under records with forward directivity. The figure also reports the means of the peak values of the column’s displacements obtained for the considered different records. The shown mean values distinctly demonstrate that the fling-step recordings yield larger average deflection values than those derived from the forward-directivity records across all evaluated bridge models. Irrespective of the excitation records, the hollow core slab bridge exhibits greater susceptibility to seismic loads, resulting in the highest displacement responses, in contrast to the box girder bridge, which produces the lowest displacement responses. From a percentage point of view, the developed average peak column’s deflection of the hollow core slab bridge provides about a 30% increase compared with the developed peak column’s deflection of the box girder bridge under either forward-directivity or fling-step records. This can be attributed to the fact that the supported deck influences the response of the supporting column by enhancing the stiffness of the structure. For the considered different models of bridges excited by the forward-directivity records, the induced lateral column’s displacements are increased with the decrease in the frequency content represented by the ratio, PGA/PGV, where the Loma Prieta earthquake with the lowest frequency content ratio among the other forward-directivity records produces the largest deflection values; see Table 1 for near-fault ground-motion records input with forward directivity. On the other hand, Tabas and Cape Mendocino, with the highest frequency content ratios, produce the lowest deflection values. However, the induced column’s deflections under fling-step records do not provide consistent results with respect to the change in the earthquake properties (PGA/PGV ratio). The EW and NS records of the Chi-Chi earthquake from station TCU-052 which have low PGA/PGV ratios, but not the lowest compared with TCU-068, produce the largest deflection values compared with the other records, particularly the Chi-Chi records from station TCU-084, which has the largest PGA/PGV ratio. This also can be due to the pulse period of the records which is considered to be another essential characteristic. The pulse period associated with the records of TCU-052 is 13.87 s, which is higher than 12.15 s, the one associated with the records of TCU-068 [40]. Moreover, ground motion records from TCU-084 have no clear pulses where the reciprocal of frequency content (i.e., PGA/PGV) is less than 0.2 [41].

The column’s rotation responses obtained along the column’s height for all considered different bridge models under the excitation of forward-directivity and fling-step records are computed and presented in Figure 16. The obtained rotation responses show similar trends to those obtained for longitudinal displacement. However, the rotation response curves almost coincide with a sinusoidal shape. The results of the average peaks shown in Figure 16 demonstrate that records with fling step increase the rotational demand on the supporting columns, regardless of the type of supported deck. For example, the captured average peak rotation values developed due to fling-step records are 7.62 rad, 8.80 rad, and 10.10 rad for box girder, RC girder, and hollow core deck slabs, respectively, while the corresponding values due to forward-directivity records are 4.92 rad, 5.88 rad, and 6.55 rad. The data reveals a 50% increase in rotational demand for records displaying fling step compared to those showing forward directivity, regardless of the bridge type, highlighting the substantial influence of near-fault records on rotational demands concerning forward directivity and fling step.

Figure 17 illustrates the moment profiles of the column, measured along its height, for all examined bridge models exposed to forward-directivity and fling-step records. The peak moment values are documented at both the lower and upper sections of the column, regardless of the bridge type and the relevant data. The moments captured from forward-directed motions are significantly smaller than the moment values caused by fling-step motions. Examining the distribution of the moments over the vertical height of the columns also indicates that the lowest moment value is clearly concentrated at the middle region of the column. The box girder bridge model produces the lowest story moments in response to both excitation records. In comparison to the other two bridge models, the hollow core slab bridge model generates the greatest story moments. The RC bridge model yields intermediate values between the two other models. In the assessment of forward-directivity records as excitations, the hollow core slab bridge model increases the generated moment values by roughly 23% and 44% compared to the peak moment values of the box girder model and the RC bridge model, respectively. However, with the use of fling-step records as excitation, the corresponding percentages are 14% and 29%, respectively.

As can be seen from Figure 18, the induced seismic shear forces are almost constant along the column’s height for all the considered bridge types. The range in the shear force at the bottom and top of the column becomes slightly less with the increase in column height. The alteration in the lowest position is negligible in comparison to the highest one. However, there is a substantial disparity in the values assigned to each bridge type. Furthermore, there exists a significant disparity between the recorded values for fling step and those for forward directivity, irrespective of the bridge type. The plots clearly indicate that the shear response varies depending on the type of earthquake records and the structural system of the bridge. For example, the calculated average peak shear value at the column of the box girder bridge is almost 175 tons under forward-directivity records and 275 tons under fling-step records. The corresponding values for the RC girder bridge, respectively, are 190 tons and 290 tons. On the other hand, the column of the hollow core slab bridge experiences average peak shear values of 220 tons and 340 tons under records of fling step and forward directivity, respectively. Comparison of the calculated shear values of the bridge’s column demonstrates that the proposed bridge models with various deck types behave differently under forward-directivity and fling-step earthquake motions. The presence of fling step in near-fault motions alters the induced shear values considerably, which in turn affects the design specifications.

6.2. Deck’s Response

Deck moments of the box girder, RC girder, and Hollow core slab bridges are shown in Figure 19 for the considered forward-directivity and fling-step ground motion records. Near-fault ground motions with fling step induce larger deck moments compared with near-fault ground motions with forward directivity for all the considered types of bridges. As illustrated in the provided figure, The resulting average deck’s moment responses due to records with forward directivity exhibit comparable tendencies to those obtained under records with fling step. It has also been noted that the peak moment curves for all the considered bridges follow a similar trend under the two sets of records considered herein. The moment results of the deck show an increase up to a certain maximum level, corresponding to the first intermediate pier, and then followed by a decrease trend to a certain minimum value, corresponding to the mid-span of the deck. Such an observation clearly indicates that the captured peak moments are at the intermediate supporting piers, while the lowest moment value is recorded at the mid-span of the deck. Comparing bridge models shows that deck moments vary significantly along the deck length, regardless of the type of records, particularly at pier supports. At deck edges, however, the variance in the recorded moments appears to be negligible and varies only slightly depending on the type of record. The box girder bridge model produces the lowest moment values under the two sets of earthquake motions. However, in contrast to the other two bridge models, the developed hollow core bridge produces deck moments of greater value. From a percentage point of view, earthquake motions with fling step increase the deck moments of the box girder bridge model by about 54% compared with the induced deck moments due to forward-directivity records. The corresponding percentage increase in deck moments of the RC girder bridge model, when subjected to the set of recordings with fling step compared to the set with forward directivity, is approximately 48%. For the hollow core slab bridge model, the calculated percentage increased to 52%. One possible explanation for the higher deck moments in the hollow core slab bridge model when compared to the other two bridge models is that stiffness is a significant dynamic characteristic parameter. The box girder model is the stiffest one, while the hollow core slab bridge attains the lowest stiffness.

Deck shear forces of the considered different bridge models are shown in Figure 20 for the considered near-fault motions with forward directivity and fling step. Regardless of the records set, the distribution of deck shear forces changes as deck length changes, as shown in the figure. At the middle of the bridge deck models, the variations in deck shear values related to the type of records are noticeable. It is evident that the produced deck shear forces of the developed bridge models exhibit almost similar variation under the excitation records. Earthquake motions with forward directivity induce responses of smaller values compared with induced responses due to the fling-step set for all the considered bridge models. The box girder bridge model has the lowest shear force values relative to the other two bridge models for the examined types of ground motion measurements. Among the two constructed bridge models, the hollow core slab bridge model generates the highest shear force values. This can be attributed to the fact that both models with box girder and hollow core slabs have the highest and lowest rigidity, respectively. That means, the higher the flexibility of the bridge model, the lower the induced shear forces.

The calculated peak shear values for the decks of the box girder, RC girders, and hollow core slab bridge models under the excitation records with forward directivity are 51.0 ton, 66.0 ton, and 87.0 ton, respectively. The associated values in the fling-step dataset are 79.0 tons, 96.0 tons, and 133.0 tons, respectively. These captured deck shear forces show that the set of fling step magnifies the induced shear forces by almost 50% compared with the values obtained under the set of forward directivity. The performed comparison demonstrates that the developed bridge models with different decks do not provide a similar performance under the selected two sets of records. Induced shear forces on the bridge deck resulting from applied seismic action are regarded as a critical factor in earthquake-resistant design phases. Thus, altering the deck type can substantially influence the bridge’s design strategy.

To relate response quantities to performance levels, drift ratios and ductility indices were computed at critical pier locations. The maximum drift ratios remained below 1.2%, corresponding to the “Slight Damage” state [13,21]. Although explicit fragility analysis was beyond the present scope, these indices provide preliminary insight into the seismic performance of the investigated bridge systems.

To ensure fair comparison among bridges with different deck masses, response quantities were normalized with respect to the decks’ self-weight. The normalized moment and displacement ratios indicate similar response trends, with a slightly higher energy absorption capacity in heavier systems.

7. Conclusions

This study examines the impact of forward-directivity and fling-step ground motions on the seismic performance of reinforced concrete bridges with varying deck slab configurations. Models of bridges with box sections, reinforced concrete girders, and hollow core slabs are created and exposed to fourteen distinct ground motions, illustrating forward-directivity and fling-step phenomena. All models have identical span lengths and deck widths. The simulation results, evaluated via nonlinear analysis, indicate that the seismic responses induced by forward-directivity records markedly differ from those caused by fling-step records, with the average strain values consistently higher for fling-step records across all bridge models. For the considered different models of bridges excited by the forward-directivity records, the induced column and deck responses are substantially influenced by the frequency content of the records, where records with the lowest PGA/PGV ratio produce the highest deflection response and vice versa. However, for fling-step records, the simultaneous effect of both frequency content and pulse period considerably affects the induced deflection response. Regarding the impact of the deck slab type, the simulation results reveal that the deck type substantially affects the bridge’s design strategy. More specifically, the bridge deck with a hollow core slab is more vulnerable to seismic loads compared with the box girder one, which induces the lowest responses under both types of earthquake records. However, the RC girder bridge model induces intermediate values between the other two models. Quantitatively, the average displacement and moment demand under fling-step motions were 1.55, 1.50, and 1.52 times those under forward-directivity motions for the box girder, RC girder, and hollow core bridges, respectively. These normalized ratios confirm the pronounced amplification induced by fling-step effects and substantiate that the hollow core configuration is the most vulnerable, while the box girder shows the highest resilience.