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Damage evaluation and prediction of steel box structures under internal blast

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Abstract

In this study, a rapid prediction method for the damage range evaluation of steel box structures under internal blast load was proposed. First, we carried out a dimensional analysis of the damage range, determined the main influencing factors, and built a predictive model. Then, a large number of numerical simulations were conducted with consideration of different steel grades, structural dimensions, plate thicknesses, and explosive weights. After that, according to the damage range data for all the working conditions obtained with the simulation, the failure mode diagrams were drawn on a dimensionless coordinate axis and a two-dimensional dimensionless number coordinate system. Based on this, the damage range for different working conditions was observed, and empirical equations were proposed to quickly predict the damage range of the steel box structure during a blast load. Finally, the correctness of the proposed quick prediction method was verified through field blast experiments result.

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Acknowledgments

The research reported is supported by the National Natural Science Foundation of China (Projects No. 11902369, 11972 371), the Natural Science Foundation of Hunan province (Project No. 2021JJ30786), and the Project of State Key Laboratory of High Performance Complex Manufacturing, Central South University (Project No. ZZYJKT2021-08) which are gratefully acknowledged. In addition, this work was supported in part by the High Performance Computing Center of Central South University. The authors would like to express their thanks.

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Correspondence to Shujian Yao or Nan Zhao.

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Shujian Yao is an Associate Professor of Central South University, Changsha, China. He received his Ph.D. in Mechanics from National University of Defense Technology. His research interests include impact dynamics, transportation engineering and vulnerability analysis.

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Yao, S., Wang, Z., Zhang, D. et al. Damage evaluation and prediction of steel box structures under internal blast. J Mech Sci Technol 36, 5125–5133 (2022). https://doi.org/10.1007/s12206-022-0925-9

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  • DOI: https://doi.org/10.1007/s12206-022-0925-9

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