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Article

Theoretical and Numerical Analysis of Blasting Pressure of Cylindrical Shells under Internal Explosive Loading

1
School of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
2
Provincial Key Laboratory of Oil and Gas Storage and Transportation Safety in Shandong Province, University of Petroleum (Huadong), Qingdao 266580, China
3
Qingdao Hisense Electronic Technology Service Co., Ltd., Qingdao 266001, China
*
Authors to whom correspondence should be addressed.
J. Mar. Sci. Eng. 2021, 9(11), 1297; https://doi.org/10.3390/jmse9111297
Submission received: 20 September 2021 / Revised: 29 October 2021 / Accepted: 17 November 2021 / Published: 19 November 2021
(This article belongs to the Section Ocean Engineering)

Abstract

:
Cylindrical shells are principal structural elements that are used for many purposes, such as offshore, sub-marine, and airborne structures. The nonlinear mechanics model of internal blast loading was established to predict the dynamic blast pressure of cylindrical shells. However, due to the complexity of the nonlinear mechanical model, the solution process is time-consuming. In this study, the nonlinear mechanics model of internal blast loading is linearized, and the dynamic blast pressure of cylindrical shells is solved. First, a mechanical model of cylindrical shells subjected to internal blast loading is proposed. To simplify the calculation, the internal blast loading is reduced to linearly uniform variations. Second, according to the stress function method, the dynamic blast pressure equation of cylindrical shells subjected to blast loading is derived. Third, the calculated results are compared with those of the finite element method (FEM) under different durations of dynamic pressure pulse. Finally, to reduce the errors, the dynamic blast pressure equation is further optimized. The results demonstrate that the optimized equation is in good agreement with the FEM, and is feasible to linearize the internal blast loading of cylindrical shells.

1. Introduction

Cylindrical shells are special pressure vessels that are widely used in offshore and sub-marine structures, among others. In offshore applications, the cylindrical shell structures are utilized to transport oil and gas [1]. In sub-marine applications, the pressure shell is the primary element for withstanding diving pressure [2]. To solve explosion problems of cylindrical shells, scholars often simplify the blast loadings into nonlinear loads via theoretical analysis [3] and finite element simulation [4]; however, the nonlinear load model of the internal blast loading is complicated, and its solution is difficult and time-consuming. Therefore, it is necessary to establish a more effective model to solve the problem.
The interaction between explosion products and containers is one of the topics in the research of cylindrical shells. Scholars have carried out research by means of theoretical analysis, blasting tests, and numerical simulations [5,6]. In 1958, Baker and Allen [7] first established a general response theory for spherical shells of arbitrary thickness, showing that even “thin-shell” equations of motion can accurately describe relatively thick shells. In 1960, Baker [8] proposed a theory for predicting the elastic–plastic response of thin spherical shells subjected to transient loads. Duffey et al. [9] studied the approximate expression of the ultimate circumferential strain (or radial displacement) versus the axial coordinates of a cylindrical shell, when a spherical explosive charge was loaded at the center. Ko et al. [10] analyzed the dynamic response of a multilayer spherical container made of the same material and thickness subjected to intermittent internal explosive loads. Karpp et al. [11] discussed the response of steel containment to the explosive load of high explosives. Ruiz et al. [12] calculated the strength of thin-walled cylindrical shells subjected to explosive loads. Ma et al. [13] conducted a finite element analysis of cylindrical containment shells with different crack sizes, and calculated the propagation of the cracks and the final fracture profile. Zheng et al. [14,15] examined the delamination failure of composite containers subjected to internal explosive loads. Du et al. [16,17] researched the progressive propagation of pipe cracks subjected to internal explosive loads. Chen et al. [18] simplified the blast loading as a parabolic load, and solved the dynamic blast pressure problem of cylinder shells subjected to blast loading.
Blast pressure refers to the maximum pressure that a container can withstand in bursts, and is an important parameter to evaluate the anti-explosive performance of cylindrical shells. Because an explosion is an extremely rapid physical or chemical energy-release process, the blasting of a container is classified as a dynamic mechanical behavior. However, at present, few scholars have studied the dynamic blast pressure of cylindrical shells. Our study will focus on this issue.
In this study, to simplify the calculation, the internal blast loadings are simplified to linearly varying loads. It is of great significance to simplify nonlinear load into linear load in theoretical analysis. Based on the stress function method, a dynamic blast pressure prediction formula of cylindrical shells is derived. First, a simplified model of a cylindrical shell subjected to internal explosive load is established in Section 2. Second, the components of stress and strain of cylindrical shells are obtained in Section 3, according to the stress function and boundary conditions of the cylindrical shells. Third, a dynamic blast pressure prediction equation for cylindrical shells is proposed in Section 4. Finally, the prediction equation is compared with the results of the finite element method (FEM) analysis, and the prediction equation is optimized. This study will provide an in-depth understanding of dynamic blast pressure, and will be helpful in the safety assessment and optimization design of cylindrical shells.

2. Research Model

The mechanical model describing the cylindrical shell is composed of a cylindrical surface and two hemispherical heads, as shown in Figure 1. Pi is the internal pressure on the pipeline. To simplify the calculation, it is regarded as a closed structure, ignoring openings and connectors, i.e., the model of the cylindrical shell is assumed to be an ideal cylindrical shell. The material of the cylindrical shell is also assumed to be homogeneous and isotropic.
The method of center initiation [19] is usually used in experiments of explosive loading for cylindrical shells, in which trinitrotoluene (TNT) is installed in the geometric center of the cylindrical shell [20]. According to the theory of explosion dynamics, the strength of a shockwave decreases with the increase in the distance from the explosion point. In addition, deformation occurs in a limited range from the charge center along the axial direction of the shell [21]. In our mechanical model, the explosive load is approximately regarded as a spindle-shaped load. The load at the initiation point is the largest, and the load on both sides of the axial direction is inversely proportional to the distance from the initiation point. The spindle-shaped load acting on both ends of the vessel is ignored.
There is a fluid–solid coupling between the shell of the explosion vessel and the explosion flow field. The external bulging deformation of the shell reduces the wall explosion load, while the inward contraction deformation increases the wall explosion load [22]. In the theoretical model of this paper, the fluid–solid coupling, shell damage, and spindle-shaped load are not considered. The main aim of this work is to study the influence of internal spindle-shaped explosion loads on cylindrical shells. Through the analysis and calculation of the theoretical model, the dynamic blast pressure prediction equation for cylindrical shells can be obtained, which will be helpful for further study of the dynamic response of cylindrical shells subjected to internal explosion loads.

3. Theoretical Analysis

3.1. Stress Function

Although the propagation process of explosion shockwaves in cylindrical shells is complex, it is generally believed that the first shockwave plays a crucial role in the process of the cylindrical shell’s deformation [8,23]. The explosion load on the inner wall of the cylindrical shell decreases with the increase in the radius of the cylindrical shell; if the explosion is at the axis, the load can be simplified as a spindle-shaped load. From the geometric characteristics of the cylindrical shell and the location of the initiation point, the boundary conditions of the cylindrical shell are axisymmetric about the z-axis, as shown in Figure 2. Therefore, the stress and strain of the cylindrical shell are also axisymmetric about the z-axis, i.e., they are the functions of r and z.
The following stress function with eight undetermined coefficients is used to obtain the analytical solution [24]:
ϕ = γ 1 z 4 + γ 2 r 4 + γ 3 z 3 + γ 4 z 2 r 2 + γ 5 z 2 ln r + γ 6 z r 2 + γ 7 r 2 ln r + γ 8 z ln r
where γ1γ8 are uncertainty coefficients that can be obtained from the stress/strain components of the cylindrical shell and the boundary conditions.

3.2. Stress and Displacement Component

The stress and displacement of cylindrical shells subjected to linear implosion loads can be calculated by A.E.H. Love’s method. The stress components can be expressed as [24]:
{ σ r = z ( μ 2 ϕ 2 ϕ r 2 ) σ θ = z ( μ 2 ϕ 1 r ϕ r ) σ z = z ( ( 2 μ ) 2 ϕ 2 ϕ z 2 ) τ r z = z ( ( 1 μ ) 2 ϕ 2 ϕ z 2 )
The displacement components can be determined by:
{ u r = 1 2 G 2 ϕ r z w = 1 2 G [ 2 ( 1 μ ) 2 2 z 2 ] ϕ
In the above equation, the stress function ϕ satisfies the following biharmonic equation:
2 2 ϕ = 0
where 2 is the three-dimensional Laplace operator. In the axisymmetric theoretical model, the Laplace operator can be expressed as:
2 = 2 r 2 + 1 r r + 2 z 2

3.3. Boundary Conditions

The boundary condition of stress and the continuity conditions of stress and strain are applied for conducting the stress and displacement of cylindrical shell. In the model shown in Figure 2, the inner radius and outer radius of the cylindrical shell are r1 and r2, respectively. The z-axis is along the central axis. In the cylindrical coordinate system, p1 and p2 are assumed to be the internal and external radial constant pressures. The action position of the explosive load inside the cylindrical shell is from 0 to 2h. Because the internal explosion load is symmetrical about the r-axis, in order to simplify the calculation, the linear load of the cylindrical shell in this paper is from 0 to h on the z-axis. k1 and k2 are the gradients of pressure along the axis for the internal and the external walls, respectively. The load boundary conditions of the cylindrical shell are as follows:
{ r = r 1 : σ r = k 1 z + p 1 , τ r z = 0 r = r 2 : σ r = k 2 z + p 2 , τ r z = 0 z = 0 , h : σ z = q , τ r z = 0

3.4. Solving the Stress Function

The uncertainty coefficients can be determined from the stress/strain components and the boundary conditions of the cylindrical shell. Afterwards, the stress and strain components of the cylindrical shell can be obtained.
Substituting Equation (1) into Equation (2) yields:
{ σ r = [ 24 μ γ 1 + 4 ( 2 μ 1 ) γ 4 ] z + 2 γ 5 z / r 2 + γ 8 / r 2 + 6 μ γ 3 + 2 ( 2 μ 1 ) γ 6 σ θ = [ 24 μ γ 1 + 4 ( 2 μ 1 ) γ 4 ] z 2 γ 5 z / r 2 γ 8 / r 2 + 6 μ γ 3 + 2 ( 2 μ 1 ) γ 6 σ z = [ 24 ( 1 μ ) γ 1 + 8 ( 2 μ ) γ 4 ] z + 6 ( 1 μ ) γ 3 + 4 ( 2 μ ) γ 6 τ r z = [ 32 ( 1 μ ) γ 2 4 μ γ 4 ] r + [ 4 ( 1 μ ) γ 7 2 μ γ 5 ] / r
By substituting Equation (7) into Equation (6):
γ 1 = 2 μ 12 ( 1 + μ ) k 2 r 2 2 k 1 r 1 2 ( r 2 2 r 1 2 )
γ 2 = μ 32 ( 1 + μ ) k 2 r 2 2 k 1 r 1 2 ( r 2 2 r 1 2 )
γ 3 = 2 μ 3 ( 1 + μ ) p 2 r 2 2 p 1 r 1 2 r 2 2 r 1 2 + 1 2 μ 6 ( 1 + μ ) q
γ 4 = 1 μ 4 ( 1 + μ ) k 2 r 2 2 k 1 r 1 2 ( r 2 2 r 1 2 )
γ 5 = r 1 2 r 2 2 ( k 2 k 1 ) 2 ( r 2 2 r 1 2 )
γ 6 = 1 μ 2 ( 1 + μ ) p 2 r 2 2 p 1 r 1 2 r 2 2 r 1 2 + μ 2 ( 1 + μ ) q
γ 7 = μ 1 μ r 1 2 r 2 2 ( k 2 k 1 ) 4 ( r 2 2 r 1 2 )
γ 8 = r 1 2 r 2 2 ( p 2 p 1 ) r 2 2 r 1 2
By substituting the coefficients ( γ 1 ~ γ 8 ) into Equation (7):
{ σ r = ( p 2 + k 2 z ) r 2 2 ( r 2 + r 1 2 ) + ( p 1 + k 1 z ) r 1 2 ( r 2 r 2 2 ) r 2 ( r 1 2 r 2 2 ) σ θ = ( p 2 + k 2 z ) r 2 2 ( r 2 + r 1 2 ) + ( p 1 + k 1 z ) r 1 2 ( r 2 + r 2 2 ) r 2 ( r 1 2 r 2 2 ) σ z = q τ r z = 0
By substituting the undetermined coefficient(s) ( γ 1 ~ γ 8 ) and Equation (1) into Equation (3), the displacement components of cylindrical shells can be obtained:
{ u r = 1 2 G [ ( 1 μ 1 + μ Δ 1 r + Δ 3 1 r ) z ( 1 μ 1 + μ Δ 2 r + Δ 4 1 r ) ] μ r q E w = 1 2 G [ μ 1 + μ Δ 1 z 2 + μ 1 2 ( 1 + μ ) Δ 1 r 2 + 2 μ 1 + μ Δ 2 z Δ 3 ln r 2 μ Δ 3 ] + q z E
where Δ 1 = k 2 r 2 2 k 1 r 1 2 r 2 2 r 1 2 , Δ 2 = p 2 r 2 2 p 1 r 1 2 r 2 2 r 1 2 , Δ 3 = r 1 2 r 2 2 ( k 2 k 1 ) r 2 2 r 1 2 and Δ 4 = r 1 2 r 2 2 ( p 2 p 1 ) r 2 2 r 1 2 .

4. Dynamic Blast Pressure

Barsom and Rolfe [25] classified loads into two types: static and quasi-static loads, and dynamic loads. A load with a strain rate of less than 10−5 is regarded as a static or quasi-static load; steady-state, creep, and relaxation loads are generally in this type. A load with a strain rate from 10−2 to 106 is regarded as a dynamic load. For traffic and machinery, the strain rate is usually between 10−2 and 10−1; for earthquakes and cranes, the strain rate is usually between 10−1 and 101; and for explosions and blast loads, the strain rate is usually between 101 and 106. Since the 1940s, many scholars have studied the bearing capacity of cylindrical shells subjected to static and quasi-static loads. The equations for blast pressure prediction are shown in Table 1. Additionally, previous studies on pipelines with corrosion and wear defects by the author of this paper revealed several static blasting pressure equations [26,27,28,29]. However, because the blast pressure is a typical high-strain-rate load [30], these static blast pressure prediction equations cannot accurately predict the blast pressure of a cylindrical shell subjected to an internal explosive load. In this paper, the explosive load undertaken by the cylindrical shell changes with time.
In our model, the explosion load inside the cylindrical shell is simplified to a spindle-shaped load, as shown in Equation (6). It can be seen from Figure 2 that the explosive load of the cylindrical shell is the greatest when z = h and r = r1, and the stress of the cylindrical shell is the greatest at the same point. Therefore, by substituting p2 = 0, z = h, and r = r1 into Equation (16), the stress component can be obtained as follows:
{ σ r = p i σ θ = p i ( r 1 2 + r 2 2 ) r 2 2 r 1 2 σ z = q τ r z = 0
Once the hoop stress reaches the ultimate tensile strength, the cylindrical shell will burst:
σ θ = p i ( r 1 2 + r 2 2 ) r 2 2 r 1 2 = σ b
From Figure 2, pi is the maximum explosive load inside the cylindrical shell. Therefore, according to Equation (19), the static blast pressure can be expressed as follows:
p i = p b s                               = r 2 2 r 1 2 r 1 2 + r 2 2 σ b
The dynamic explosion pressure of the cylindrical shell changes with time [31]; therefore, the inertial effect produced cannot be ignored. Unlike static ultimate tensile strength, dynamic ultimate tensile strength is also related to time. In 1980, Baker et al. discussed the relationship between dynamic and static ultimate tensile strength [32]. The dynamic ultimate tensile strength can be derived from the static ultimate tensile strength and strain rate as follows:
σ b d = σ b [ 1.1 + 0.1 log ( ε ˙ s ) ]
where σ b d is the dynamic ultimate tensile strength, σ b is the static ultimate tensile strength, ε ˙ is the strain rate, ε ˙ = ε / t b , ( t b is the burst time), and s is the time in seconds.
Substituting Equation (21) into Equation (20), the dynamic blast pressure prediction equation can be taken as:
p b d = r 2 2 r 1 2 r 1 2 + r 2 2 σ b [ 1.1 + 0.1 log ( ε ˙ s ) ]

5. Finite Element Analysis

With the development of modern numerical simulation and high-speed computer technologies, the dynamic response of vessel structures subjected to explosion loads can be accurately simulated by numerical simulation technology, which is now an important means of studying the above problems. In this paper, finite element analysis results from the literature [33] are used to verify the accuracy of the dynamic blast pressure prediction Equation (22). In the literature [33], the blast pressure of a cylindrical metal shell subjected to short-term dynamic loading was analyzed by using the general explicit dynamic analysis program LS-DYNA. The details are as follows:

5.1. Geometry and Material Data

Figure 3 demonstrates the shape and dimensions of the cylindrical shell, which consists of a cylindrical shell and two hemispherical covers at the ends; r1 and r2 are the inner and outer radius of the cylindrical shell, respectively. In addition, any defect is ignored in the geometric model. The material of the cylindrical shell analyzed in the literature was ASTM A-106 B steel; this type of steel also contains other elements, including C (0.17%), Mn (0.77%), P (0.010%), S (0.025%), and Si (0.25%). ASTM A-106 B steel corresponds to “MAT Type 24, piecewise linear isotropic plasticity model” in LS-DYNA. This material model can reflect the elastic–plastic properties of materials.

5.2. Loading and Boundary Conditions

The loading and boundary conditions of cylindrical shells are symmetrical. In the literature, a series of pressure–time history curves similar to those of water hammer were defined and input into the finite element model to define the load on the cylindrical shell. The duration of half of the pressure pulse period is from 3.9 ms to 390 ms. During the trial process, the minimum dynamic blast pressure caused by one loading step is determined by the highest peak pressure. The boundary conditions are shown in Figure 4. The gravity of the cylindrical shell acts on the negative direction of the y-axis, and the end of the sealing cap is fixed along the y-axis; however, there is no rotation constraint.

5.3. Finite Element Analysis Results

The geometric structure and the load of the cylindrical shell are axisymmetric. To reduce computational cost, 1/4 models shown in Figure 5 are established for the finite element analysis. Through mesh sensitivity analysis, the size and number of elements of the model are determined, and the influence of different modeling parameters on the prediction of burst pressure is minimized. In this finite element model, the length (excluding the caps) is double the outer diameter of the cylindrical shell. The element type adopts eight node hexahedral elements, the aspect ratio is 1.35, the inner layer has 35 elements along the half-circumference, and the span of each element is ~5.1°. The blast failure criterion of the finite element analysis is based on the maximum plastic strain at different strain rates. Under the action of load, when the plastic strain of the element reaches the preset maximum value, the element is considered to be invalid, and is subsequently deleted. When the element is deleted, it means that the cylindrical shell has burst. In the output file of the finite element analysis, the time and pressure of the blast are recorded. The results are listed in Appendix A.

6. Results and Discussion

6.1. Advantages and Disadvantages of the Proposed Model

In this paper, the explosive load was simplified to be a linear load. Then, the dynamic blast pressure prediction equation of the cylindrical shell was obtained based on the stress function and the explosive load boundary conditions. The ultimate bearing capacity of cylindrical shells—an important parameter of pressure vessels—was studied. There are two main advantages of this research: The first lies in the simplification of the explosive load, whereby the explosive load is treated as spindle-shaped load—a linear load. The second advantage is due to the inherent characteristics of the developed dynamic blast pressure equation for the cylindrical shell subjected to a spindle-shaped explosive load. The equation is novel, but has shortcomings. First, to simplify the calculation, the fluid–solid coupling behavior during the explosion is ignored. Second, the effect of the heat and solid products from the explosion on the cylindrical shell is not considered. This paper focuses only on the dynamic blast pressure prediction equation of the cylindrical shell subjected to an internal explosive load.

6.2. Comparison with the FEM Results

When the cylindrical shell is subjected to explosive load until burst, the spike duration of dynamic pressure pulse td will be shorter than the dynamic burst time tb. The latter is recorded in the solution output file, and can be obtained by post-processing, as shown in Appendix A. The maximum dynamic strain ε of ASTM A-106B steel is 0.262, and its static ultimate tensile strength σb is 413.7 MPa. Substituting these parameters into Equation (22), the dynamic blast pressure of the cylindrical shell can be calculated.
Figure 6, Figure 7 and Figure 8 show the comparison between the FEM analysis results and the predicted values of dynamic blast pressure obtained by Equation (22) when td is 3.9 ms, 39 ms, and 390 ms, respectively. Figure 6, Figure 7 and Figure 8 contain 16 cases for comparison. The parameters that determine the comparison results are in Table A1, Table A2 and Table A3 of Appendix A, while Figure 6, Figure 7 and Figure 8 only show the comparison results. In Figure 6, compared with the results of FEM analysis, the maximum and minimum errors of Equation (22) are 26.48% and 18.37%, respectively. In Figure 7, compared with the results of FEM analysis, the maximum and minimum errors of Equation (22) are 16.66% and 13.24%, respectively. In Figure 8, compared with FEM analysis results, the maximum and minimum errors of Equation (22) are −3.99% and −2.09%, respectively. When the timestep of the finite element analysis is determined, if the dynamic pressure pulse duration td is smaller, the accuracy of the finite element analysis is also lower. The results show that there is a gap between the dynamic blast pressure calculated from Equation (22) and the FEM results, which cannot meet the engineering requirements well.

6.3. Optimization of the Prediction Equation

The optimization of dynamic blast pressure equation starts from the dynamic pressure pulse duration. According to Figure 6, Figure 7 and Figure 8, when the dynamic pressure pulse duration td is shorter, the error of the predictive equation becomes larger. Therefore, a modified function is proposed to make the prediction of the dynamic blast pressure pd more consistent with the FEM. The expression of the modified function is as follows:
f ( t b ) = a t b 2 + b t b + c
According to the regression analysis, the undetermined coefficients can be determined as a = −0.0000029, b = 0.0018, and c = 0.8. Therefore, the optimized dynamic blast pressure equation can be expressed as:
p b d = f ( t b ) r 2 2 r 1 2 r 1 2 + r 2 2 σ b [ 1.1 + 0.1 log ( ε ˙ s ) ] = ( 0.0000029 t b 2 + 0.0018 t b + 0.8 ) r 2 2 r 1 2 r 1 2 + r 2 2 σ b [ 1.1 + 0.1 log ( ε ˙ s ) ]
At the same time, the results obtained via the optimized dynamic blast pressure Equation (24), compared with the model proposed by Chen et al. [18], are shown in Figure 9, Figure 10 and Figure 11 when td = 3.9 ms, 39 ms, and 390 ms, respectively. Figure 9, Figure 10 and Figure 11 contain 16 cases for comparison. The parameters that determine the comparison results are listed in Table A4, Table A5 and Table A6 of Appendix A, while Figure 9, Figure 10 and Figure 11 only show the comparison results. The errors between Equation (24) and the FEM are greatly reduced, and most of the errors are less than 5%. Compared to the calculation by Equation (22), the accuracy is greatly improved. In addition, while ensuring the accuracy close to that of the prediction method in Chen et al. [18], the structure of Equation (24) is more concise. Equation (24) is a semi-empirical equation for the dynamic blast pressure of cylindrical shells subjected to explosive loads, and is able to meet the engineering requirements.
The main innovations and research significance of this paper are in three aspects: First, the explosive load in vessels is simplified as a spindle-shaped load for the dynamic blast pressure; this means of simplification has not been used in previous research in the field. Second, compared with the nonlinear load, the linear load can only be used to calculate the dynamic blast pressure with low accuracy, while in this paper the calculation accuracy after optimization is significantly higher. Third, the equations in this paper can be used as evaluation criteria to verify the accuracy of numerical calculation results. This paper provides a new method of solving the dynamic blast pressure of cylindrical shells, and could be applied in many circumstances, such as the aerospace, marine, energy, chemical, military, and security industries.

7. Conclusions

In this paper, the dynamic blast pressure of cylindrical shells subjected to non-uniform explosion loading is discussed.
(1)
In terms of theory, a method to analyze the bearing capacity of pressure pipes or cylindrical shells subjected to non-uniform implosion loads is proposed. Our method expands the application of the Lame equation, which is suitable for plane problems with uniform loads. Equation (16) in this paper is used to calculate the stress distributions of cylindrical shells subjected to non-uniform implosion loads, and is able to be transformed into a Lame equation;
(2)
In terms of application, a new mechanical model of cylindrical shells subjected to explosive loads is established. Unlike the previous models, this model assumes that the load is a simplified explosive load. In addition, the modified dynamic blast pressure equation of the cylindrical shell subjected to the simplified blast load is given;
(3)
The accuracy of the dynamic blasting pressure equation is verified by comparing its calculation with the finite element simulation results.
This paper provides a reference benchmark for numerical calculation and approximate solution, leads to a better understanding of the failure of cylindrical shells subjected to explosive loads, and provides insights for the design and optimization of cylindrical shells.

Author Contributions

Conceptualization, Z.-F.C.; data curation, Z.S.; formal analysis, Z.S.; funding acquisition, Z.-F.C.; investigation, W.W.; methodology, H.-J.W.; project administration, Y.-X.L.; resources, Y.-X.L.; software, H.-J.W.; supervision, Z.-F.C.; validation, H.Y. and W.-M.M.; visualization, W.W.; writing—original draft, Z.-F.C. and H.-J.W.; writing—review and editing, Z.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the National Natural Science Foundation of China, grant number 51805127, and the China Postdoctoral Science Foundation, grant number 2021M693504.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Conflicts of Interest

The funders had no role in the design of the study, in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

Appendix A

Table A1. Comparisons between the FEM results and the predictions, when td = 3.9 ms.
Table A1. Comparisons between the FEM results and the predictions, when td = 3.9 ms.
D (mm.)T (mm.)tb (ms)FEM (MPa)Equation (22) (MPa)Errors (%)
355.64.1915.01112.410614.756918.91
355.64.77525.23614.065416.791719.38
355.65.53724.91616.547519.594918.42
355.66.354.904619.029622.525218.37
355.67.92485.00223.718128.196318.88
355.69.5254.96528.682434.055318.73
355.611.12524.96833.646639.948418.73
266.73.144524.72412.134814.821122.14
266.73.58144.7913.789616.89222.5
266.74.15294.82515.995919.619322.65
266.74.76254.73818.478122.577122.18
266.75.94364.73823.166528.298622.15
266.77.15014.65728.130834.232321.69
266.78.34394.74832.819240.069322.09
177.85.56264.6731.716140.113526.48
177.82.09554.42611.859114.879425.47
Table A2. Comparisons between the FEM results and the predictions, when td = 39 ms.
Table A2. Comparisons between the FEM results and the predictions, when td = 39 ms.
D (mm.)T (mm.)tb (ms)FEM (MPa)Equation (22) (MPa)Errors (%)
355.64.19140.46111.031712.696115.09
355.64.775240.06412.686414.500414.3
355.65.537239.62614.892816.864213.24
355.66.3540.52216.823319.349515.02
355.67.924841.23920.960224.219915.55
355.69.52541.1725.372929.241915.25
355.611.125240.43830.061334.351314.27
266.73.144540.63510.893812.69716.55
266.73.581440.87612.410614.477816.66
266.74.152939.90514.61716.85515.31
266.74.762539.86316.823319.374215.16
266.75.943640.29720.960224.263515.76
266.77.150140.76925.23529.290916.07
266.78.343940.38429.785534.354915.34
177.82.095540.39610.893812.697716.56
177.85.562639.78329.509734.394916.55
Table A3. Comparisons between the FEM results and the predictions, when td = 390 ms.
Table A3. Comparisons between the FEM results and the predictions, when td = 390 ms.
D (mm.)T (mm.)tb (ms)FEM (MPa)Equation (22) (MPa)Errors (%)
355.64.191391.45610.700710.4569−2.28
355.64.7752398.01912.410611.9151−3.99
355.65.5372387.93914.341213.8792−3.22
355.66.35395.38316.271715.9237−2.14
355.67.9248388.97320.684419.9898−3.36
355.69.525393.79224.821324.1035−2.89
355.611.1252391.48129.371828.2914−3.68
266.73.1445388.72410.755910.468−2.68
266.73.5814388.99812.272711.9409−2.7
266.74.1529387.1414.341213.8819−3.2
266.74.7625393.43916.271715.9311−2.09
266.75.9436390.74720.546519.9812−2.75
266.77.1501392.3524.821324.1339−2.77
266.78.3439401.0229.23428.2271−3.44
177.82.0955392.0210.755910.4555−2.79
177.85.5626387.84429.23428.3163−3.14
Table A4. Comparisons between the FEM results and the predictions, when td = 3.9 ms.
Table A4. Comparisons between the FEM results and the predictions, when td = 3.9 ms.
D (mm.)T (mm.)tb (ms)FEM (MPa)Equation (24) (MPa)Errors (%)
355.64.1915.01112.410611.9085−4.05
355.64.77525.23614.065413.5505−3.66
355.65.53724.91616.547515.8126−4.44
355.66.354.904619.029618.1773−4.48
355.67.92485.00223.718122.7537−4.07
355.69.5254.96528.682427.4818−4.19
355.611.12524.96833.646632.2374−4.19
266.73.144524.72412.134811.9603−1.44
266.73.58144.7913.789613.6314−1.15
266.74.15294.82515.995915.8323−1.02
266.74.76254.73818.478118.2192−1.4
266.75.94364.73823.166522.8363−1.43
266.77.15014.65728.130827.6246−1.8
266.78.34394.74832.819232.335−1.48
177.85.56264.6731.716111.96450.89
177.82.09554.42611.859132.48632.43
Table A5. Comparisons between the FEM results and the predictions, when td = 39 ms.
Table A5. Comparisons between the FEM results and the predictions, when td = 39 ms.
D (mm.)T (mm.)tb (ms)FEM (MPa)Equation (24) (MPa)Errors (%)
355.64.19140.46111.031710.9921−0.36
355.64.775240.06412.686412.5543−1.04
355.65.537239.62614.892814.6008−1.96
355.66.3540.52216.823316.7526−0.42
355.67.924841.23920.960220.96930.04
355.69.52541.1725.372925.3173−0.22
355.611.125240.43830.061329.741−1.07
266.73.144540.63510.893810.99290.91
266.73.581440.87612.410612.53471
266.74.152939.90514.61714.5929−0.16
266.74.762539.86316.823316.774−0.29
266.75.943640.29720.960221.00710.22
266.77.150140.76925.23525.35970.49
266.78.343940.38429.785529.7441−0.14
177.82.095540.39610.893811.00661.04
177.85.562639.78329.509729.74340.79
Table A6. Comparisons between the FEM results and the predictions, when td = 390 ms.
Table A6. Comparisons between the FEM results and the predictions, when td = 390 ms.
D (mm.)T (mm.)tb (ms)FEM (MPa)Equation (24) (MPa)Errors (%)
355.64.191391.45610.700711.09383.67
355.64.7752398.01912.410612.64081.85
355.65.5372387.93914.341214.72462.67
355.66.35395.38316.271716.89363.82
355.67.9248388.97320.684421.20742.53
355.69.525393.79224.821325.57163.02
355.611.1252391.48129.371830.01462.19
266.73.1445388.72410.755911.10563.25
266.73.5814388.99812.272712.66823.22
266.74.1529387.1414.341214.72742.69
266.74.7625393.43916.271716.90153.87
266.75.9436390.74720.546521.19833.17
266.77.1501392.3524.821325.60393.15
266.78.3439401.0229.23429.94642.44
177.82.0955392.0210.755911.09233.13
177.85.5626387.84429.23430.0412.76

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Figure 1. Geometrical model of a cylindrical shell subjected to a spindle-shaped load.
Figure 1. Geometrical model of a cylindrical shell subjected to a spindle-shaped load.
Jmse 09 01297 g001
Figure 2. Model of a cylindrical shell and its spindle-shaped loadings.
Figure 2. Model of a cylindrical shell and its spindle-shaped loadings.
Jmse 09 01297 g002
Figure 3. Shape and dimensions of the cylindrical shell.
Figure 3. Shape and dimensions of the cylindrical shell.
Jmse 09 01297 g003
Figure 4. Boundary conditions of the finite element model.
Figure 4. Boundary conditions of the finite element model.
Jmse 09 01297 g004
Figure 5. The finite element model.
Figure 5. The finite element model.
Jmse 09 01297 g005
Figure 6. Comparisons between the FEM results and Equation (22), when td = 3.9 ms.
Figure 6. Comparisons between the FEM results and Equation (22), when td = 3.9 ms.
Jmse 09 01297 g006
Figure 7. Comparisons between the FEM results and Equation (22), when td = 39 ms.
Figure 7. Comparisons between the FEM results and Equation (22), when td = 39 ms.
Jmse 09 01297 g007
Figure 8. Comparisons between the FEM results and Equation (22), when td = 390 ms.
Figure 8. Comparisons between the FEM results and Equation (22), when td = 390 ms.
Jmse 09 01297 g008
Figure 9. Comparisons between the FEM results and Equation (24), when td = 3.9 ms.
Figure 9. Comparisons between the FEM results and Equation (24), when td = 3.9 ms.
Jmse 09 01297 g009
Figure 10. Comparisons between the FEM results and Equation (24), when td = 39 ms.
Figure 10. Comparisons between the FEM results and Equation (24), when td = 39 ms.
Jmse 09 01297 g010
Figure 11. Comparisons between the FEM results and Equation (24), when td = 390 ms.
Figure 11. Comparisons between the FEM results and Equation (24), when td = 390 ms.
Jmse 09 01297 g011
Table 1. Representative predictive formulae for blast pressure (Pb), reproduced from [26], with permission from Elsevier, 2021.
Table 1. Representative predictive formulae for blast pressure (Pb), reproduced from [26], with permission from Elsevier, 2021.
ContributorEquationContributorEquation
Faupel P b = 2 3 σ b ( 2 σ y σ b ) ln ( k ) Turner P b = σ b ln ( k )
API P b = 0.875 ( 2 σ y T D ) ASME P b = σ b ( k 1 0.6 k + 0.4 )
Nadai (1) P b = 2 3 σ b ln ( k ) Maximum shear stress P b = 2 σ b ( k 1 k + 1 )
Nadai (2) P b = σ b 3 n ( 1 1 k 2 n ) Baily–Nadai P b = 2 σ b t D t [ ( 1 2 ) 1 + n + ( 1 3 ) 1 + n ]
Soderberg P b = 4 3 σ b ( k 1 k + 1 ) Klever P b = ( 2 + 3 4 3 ) n 4 T σ b D m
Maximum stress P b = σ b ( k 1 ) Zhu–Leis P b = 2 3 σ b ( 2 σ y σ b ) ln ( k )
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Chen, Z.-F.; Wang, H.-J.; Sang, Z.; Wang, W.; Yang, H.; Meng, W.-M.; Li, Y.-X. Theoretical and Numerical Analysis of Blasting Pressure of Cylindrical Shells under Internal Explosive Loading. J. Mar. Sci. Eng. 2021, 9, 1297. https://doi.org/10.3390/jmse9111297

AMA Style

Chen Z-F, Wang H-J, Sang Z, Wang W, Yang H, Meng W-M, Li Y-X. Theoretical and Numerical Analysis of Blasting Pressure of Cylindrical Shells under Internal Explosive Loading. Journal of Marine Science and Engineering. 2021; 9(11):1297. https://doi.org/10.3390/jmse9111297

Chicago/Turabian Style

Chen, Zhan-Feng, Hui-Jie Wang, Zhiqian Sang, Wen Wang, He Yang, Wei-Ming Meng, and Yu-Xing Li. 2021. "Theoretical and Numerical Analysis of Blasting Pressure of Cylindrical Shells under Internal Explosive Loading" Journal of Marine Science and Engineering 9, no. 11: 1297. https://doi.org/10.3390/jmse9111297

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