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Crashworthiness design of horsetail-bionic thin-walled structures under axial dynamic loading

INTERNATIONAL JOURNAL OF MECHANICS AND MATERIALS IN DESIGN 2016年第4期12卷 563-576页

作者： Xiao, Youye Yin, Hanfeng Fang, Hongbing Wen, Guilin Hunan Univ State Key Lab Adv Design & Mfg Vehicle Body Changsha 410082 Hunan Peoples R China Univ North Carolina Charlotte Dept Mech Engn & Engn Sci Charlotte NC 28223 USA

Bio-inspired engineering design has drawn increased attention in recent years for the excellent structural and mechanical properties of the biological systems. In this study, the horsetail-bionic thin-walled structures (HBTSs) were investigated for their crashworthiness under axial dynamic loading. Six HBTSs with different cross section configurations (i.e., number of cells) were evaluated using nonlinear finite element (FE) simulations. To obtain the optimal design of the HBTSs, an ensemble metamodel-based multi-objective optimization method was employed to maximize the specific energy absorption while minimizing maximum impact force of the HBTSs. Using the ensemble metamodeling, FE simulations and the NSGA-II algorithm, the Pareto optimum designs of all six HBTSs were obtained and the HBTS with 16 cells were found to have the best crashworthiness. An optimum design of the HBTS with 16 cells was verified using FE simulation and found to have good agreement with simulation results.

关键词： bionic thin-walled structure Finite element method Crashworthiness Ensemble metamodel Multi-objective optimization

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Multi-objective robust optimization of foam-filled bionic thin-walled structures

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thin-walled structureS 2016年 109卷 332-343页

作者： Yin, Hanfeng Xiao, Youye Wen, Guilin Gan, Nianfei Chen, Can Dai, Jinle Hunan Univ State Key Lab Adv Design & Mfg Vehicle Body Changsha 410082 Hunan Peoples R China Hunan Univ Key Lab Adv Design & Simulat Tech Special Equipme Minist Educ Changsha 410082 Hunan Peoples R China

Bio-inspired design has drawn increased attention in recent years for the excellent structural properties of biological system. In our recent work, a bionic thin-walled structure (BTS), which was inspired from the structural characteristic of horsetail, was found to have excellent crashworthiness (Yin et al., 2015) [1]. In order to further improve the crashworthiness of the BTS, a foam-filled bionic thin-walled structure (FBTS) was investigated using the software LS-DYNA in this study. And, the FBTS was optimized by a multi-objective deterministic optimization (MDO) method. The MDO result indicates that the FBTS performed better than the corresponding traditional structure. However, the deterministic optimal design is likely to become unacceptable when considering the uncertainties of design parameters. To solve this problem, a multi-objective robust optimization (MRO) method which employs ensemble metamodel, NSGA-II, "3-sigma" robust design and Monte Carlo simulation (MCS) was developed. Then, the FBTS was optimized by this MRO method. The comparison of the Pareto fronts of the MDO and MRO shows that the robust optimal FBTS is more reliable than the deterministic optimal FBTS. The robust optimal FBTS not only has excellent crashworthiness but also has high reliability. Therefore, the robust optimal FBTS is a kind of excellent and reliable energy absorber in impact engineering.

关键词： bionic thin-walled structure Foam-filled Crashworthiness Ensemble metamodel Monte Carlo simulation Multi-objective robust optimization

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