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Multiobjective and multicollision scenario reliability-based design optimization of honeycomb-filled composite energy-absorbing structures for subways

Abstract

A honeycomb-filled composite energy-absorbing structure (HCES) installed at the front end of a subway has an extensive range of application prospects in various crashworthy buffer structures due to its excellent energy-absorbing performance. Research to date on the crashworthiness optimization of energy-absorbing structure has mainly focused on a single collision scenario. However, in train collision accidents, the collision scenarios are diverse and unpredictable, implying that the optimal design under a certain collision scenario may no longer be applicable under other collision scenarios. Additionally, in actual manufacturing, there may be uncertainties in the design parameters. Unfortunately, uncertain structural optimization problems solved with deterministic optimization methods may lead to structural instability or even failure. To this end, this study formulates a multiobjective and multicollision scenario reliability-based design optimization that combines a radial basis function, Monte Carlo simulation (MCS), NSGA-II and the order preference by similarity to an ideal solution (TOPSIS) to seek an optimal reliability design for HCESs that meets the requirements of multiple collision scenarios in European standard EN 15227. The optimization results show that the presented reliability-based optimization method has fair effectiveness and can enhance the robustness of an HCES under multiple collision scenarios, implying that the proposed approach can provide meaningful guidelines for the structural crashworthiness design of subways.

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Acknowledgements

This work is supported by the Changsha Municipal Natural Science Foundation (Grant No. kq2202102), the National Key Research and Development Program of China (Grant Nos. 2021YFB3703801, 2021YFB3703801-02), the Scientific Research Foundation for Young Scholars of Central South University (Grant No. 202044019), and the Leading Talents of Science and Technology of Hunan Province (Grant No. 2019RS3018). The financial support is gratefully acknowledged.

Funding

Funding was provided by the Changsha Municipal Natural Science Foundation (Grant No. kq2202102), the National Key Research and Development Program of China (Grant Nos. 2021YFB3703801, 2021YFB3703801-02), the Scientific Research Foundation for Young Scholars of Central South University (Grant No. 202044019), and the Leading Talents of Science and Technology of Hunan Province (Grant No. 2019RS3018). The financial support is gratefully acknowledged.

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Correspondence to Chengxing Yang.

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Replication of results

The nonlinear finite element code LS-DYNA version SMP R7.1.1 is used to solve the FE modelling problems in this paper. Based on the multiobjective and multicollision scenario reliability-based design optimization procedure proposed in this paper, the Pareto fronts in Figs. 23 and 25 were obtained. If readers need the codes, please contact the corresponding author of this paper. The results were presented in Fig. 23 and the corresponding raw data were given in ESM_1.xlsx. The results were presented in Fig. 25 and the corresponding raw data were given in ESM_2.xlsx.

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Wang, D., Xu, P., Xiao, X. et al. Multiobjective and multicollision scenario reliability-based design optimization of honeycomb-filled composite energy-absorbing structures for subways. Struct Multidisc Optim 65, 238 (2022). https://doi.org/10.1007/s00158-022-03343-5

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  • DOI: https://doi.org/10.1007/s00158-022-03343-5

Keywords

  • Honeycomb-filled composite energy-absorbing structure
  • Multiple collision scenarios
  • Crashworthiness
  • Multiobjective reliability-based design optimization
  • Subways