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• W2955710003 endingPage "106261" @default.
• W2955710003 startingPage "106261" @default.
• W2955710003 abstract "Abstract In this study, a theoretical model is developed to reveal the bending collapse of top-hat thin-walled structures by dividing a top-hat thin-walled structure into a top-hat element and flat-plate element. A theoretical formula is also developed to describe the bending deformation and energy-absorption of the structures. The theoretical model is capable of predicting the bending collapse and energy-absorption of top-hat thin-walled structures with different thickness and material specification. The accuracy and generality of the theoretical prediction model is validated by performing three-point bending tests and finite element simulations. Then, both theoretical prediction formulas and finite element analysis (FEA) based surrogate models are employed to perform the crashworthiness optimization of top-hat thin-walled structures. The results show that (i) the theoretical prediction model is capable of producing results that can be directly used to optimize the thicknesses, cross-sectional geometry, and material specifications for top-hat thin-walled structures, which will increase the efficiency and shorten the cycle time of crashworthiness design optimization for this type of structure; and (ii) steel-aluminum hybrid top-hat thin-walled structure has a larger energy-absorption capacity than high-strength steel without exceeding the initial weight, whereas a lightweight design is more feasible with an aluminum alloy than with high-strength steel without sacrificing the energy absorption of the baseline design." @default.
• W2955710003 created "2019-07-12" @default.
• W2955710003 creator A5009373080 @default.
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• W2955710003 date "2019-11-01" @default.
• W2955710003 modified "2023-10-03" @default.
• W2955710003 title "Theoretical prediction and crashworthiness optimization of top-hat thin-walled structures under transverse loading" @default.
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• W2955710003 doi "https://doi.org/10.1016/j.tws.2019.106261" @default.
• W2955710003 hasPublicationYear "2019" @default.
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