Abstract

In this study, a rapid algorithm is proposed to efficiently predict the damage of target structures subjected to internal explosions. Firstly, a data-driven approach was used to obtain the quasi-static peak pressure of the blast-loaded chamber based on a large amount of experimental data. The variation of the gas mass in each chamber was obtained using a pressure relief algorithm. The SDOF method was used to calculate the deformation of the wall plates to further calculate the change in volume and open area of the chamber. The change in pressure was calculated using the ideal gas equation of state. The proposed algorithm was then used to calculate the pressure change and wall deformation in each box. The results were compared with existing experimental data and found to be in good agreement. Finally, the results of the proposed algorithm are visualized, and the effects of different influencing factors such as explosion equivalent, cavity size, and wall thickness on the failure characteristics of multi-box structures were studied.

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