Blast responses of steel stiffened panels subjected to plane shock waves

Li, Ké; Liu, Kun; Sha, Yanyan; Guang-ming, WU; Wang, Zili

doi:10.1016/j.tws.2021.107933

Cited by 10 publications

(4 citation statements)

References 39 publications

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“…Since the initial area of 2500 × 2300 mm 2 on the sidewall of the superstructure is too large to make the experiment, the size used in the test is 1000 × 1000 mm 2 . The result suggests that the structural deformation and failure mode are accurately captured by the numerical model [37]. Therefore, it is feasible to use numerical simulation to obtain the sample points needed for optimization in this paper.…”

Section: Simulation Calculationmentioning

confidence: 96%

“…Numerical simulations were conducted using the ABAQUS finite element software program. In the published article [37], relevant experiment has been carried out to prove that the required sample points can be obtained through the numerical simulation method. Figure 4 shows the comparison result of experiment and simulation.…”

Section: Simulation Calculationmentioning

confidence: 99%

“…In this study, a BP neural network and two GAs were combined to optimize the impact resistance of metal sandwich panels when applied to superstructures. Before optimization, the design variables in the sample points were selected through an orthogonal experimental design, and a numerical simulation method proved feasible by the author through experiment [37] was used to obtain the output variables of the sample points. Then, the multi-objective function, which can fully reflect the impact resistance of the structure, was mapped through a BP neural network.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Optimization Design of Corrugated Steel Sandwich Panel for Impact Resistance

Liu

Guang-ming

et al. 2021

Metals

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The application of corrugated steel sandwich panels on ships requires excellent structural performance in impact resistance, which is often achieved by increasing the weight without giving full play to the characteristics of the structure. Considering the mechanical properties of sandwich panels under static and impact loading, a multi-objective optimal method based on a back-propagation (BP) neural network and a genetic algorithm developed in MATLAB is proposed herein. The evaluation criteria for this method included structural mass, static and dynamic stress, static and dynamic deformation, and energy absorption. Before optimization, representative sample points were obtained through numerical simulation calculations. Then, the functional relationship between the design and output variables was generated using the BP neural network. Finally, a standard genetic algorithm (SGA) and an adaptive genetic algorithm (AGA) were used for multi-objective optimization analysis with the established function to obtain the best result. Through this study, a new design concept with high efficiency and reliability was developed to determine the structural parameters that provide the best impact resistance using limited sample points.

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Section: Simulation Calculationmentioning

confidence: 96%

Section: Simulation Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multi-Objective Optimization Design of Corrugated Steel Sandwich Panel for Impact Resistance

Liu

Guang-ming

et al. 2021

Metals

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“…Furthermore, collision detection and rigid body dynamics simulation are used in the damage simulation of the concrete components, where collision detection is used to trigger the corresponding events and rigid body dynamics simulation is used to deal with the motion of rigid objects. Specifically, under the impact of shockwaves, damaged concrete components exhibit physical phenomena such as displacement, fragmentation, and splattering of debris [48][49][50].…”

Section: Fig 1: Characterization Of Cracks By Texture Fusion Techniquesmentioning

confidence: 99%

Virtual simulation of fracture behavior of concrete blocks under blast loading

Ning,

Zhang,

2024

Preprint

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Utilizing advanced visualization techniques to simulate and replicate the response of concrete block under various explosive loads is of significant importance for investigating and predicting the fragmentation and fracture behavior of concrete materials. In this study, a scenario visualization method is introduced combining virtual simulation and mathematical theoretical modeling, which can vividly characterize the destruction process as well as the damage characteristics of the concrete block subjected to impact. The fragmentation theory model provided, based on the theorem of energy conservation, could analyze and predict the fundamental characteristics of secondary fragments of concrete blocks under blast loading, such as the quantity, quality and the initial velocity of fragmentation. Furthermore, the movement trajectory and 3D dynamic effects of flying concrete fragments after the explosion were finely and real-time simulated using the physics engine, which significantly enhanced the realism and reliability of the visualization. Also, to characterize the damage features of concrete block, the crushing model of concrete block was established by using Voronoi diagram technique, and the damage levels was given according to the degree of destruction. The developed virtual simulation system not only offers the capability to observe the damage process of concrete block from various perspectives and scales, but also efficiently and accurately analyzes and predicts the destructive behavior and dynamic response under impact loads, and it has significant potential applications in architectural engineering design and safety assessment, providing a new perspective for understanding and exploring the mechanisms of destruction and fracture in concrete materials.

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