Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness

Higher energy absorption efficiency and better crashworthiness performance are always the key objectives for different energy absorbing structures applied in numerous industries including aerospace, rail equipment transportation, and automotive. In this study, a functionally graded thickness (FGT) d...

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Main Authors: Ruixian Qin, Junxian Zhou, Bingzhi Chen
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Advances in Materials Science and Engineering
Online Access:http://dx.doi.org/10.1155/2019/8938696
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author Ruixian Qin
Junxian Zhou
Bingzhi Chen
author_facet Ruixian Qin
Junxian Zhou
Bingzhi Chen
author_sort Ruixian Qin
collection DOAJ
description Higher energy absorption efficiency and better crashworthiness performance are always the key objectives for different energy absorbing structures applied in numerous industries including aerospace, rail equipment transportation, and automotive. In this study, a functionally graded thickness (FGT) design method is introduced in the design of a hexagon honeycomb structure to improve energy absorbing efficiency on the basis of a traditional honeycomb with uniform thickness (UT). The validation of a numerical analysis model for a UT honeycomb under axial loading is implemented by a nonlinear finite element code LS-DYNA (V971). Furthermore, the multiobjective crashworthiness optimization of an FGT honeycomb subjected to axial quasi-static compression is conducted to maximize specific energy absorption (SEA) and minimize peak crashing force (PCF). In addition, three surrogate models, including radial basis function (RBF), response surface method (RSM), and kriging (KRG), are compared in the accuracy of predicting SEA and PCF and capacity for optimization design of FGT honeycomb structure; the Nondominated Sorting Genetic Algorithm (NSGA-II) is applied to obtain the Pareto optimal solutions for the maximum thickness, minimum thickness, and thickness variation gradient exponent of a honeycomb wall. The optimal points obtained by different surrogate models subjected to an SEA value of 18.5 kJ/kg, 20 kJ/kg, 22 kJ/kg, and 24 kJ/kg are validated, and corresponding optimal parameters are compared; RBF and RSM are more suitable in crashworthiness optimization design of the FGT honeycomb structure. It is indicated that the FGT honeycomb with optimal geometrical parameters presents remarkable enhancement and energy absorbing potential compared to the traditional honeycomb structure.
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spelling doaj-art-6a609a3e5d3a468e830186bd92f37ab22025-02-03T01:10:58ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422019-01-01201910.1155/2019/89386968938696Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded ThicknessRuixian Qin0Junxian Zhou1Bingzhi Chen2School of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, ChinaSchool of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, ChinaSchool of Mechanical Engineering, Dalian Jiaotong University, Dalian 116028, ChinaHigher energy absorption efficiency and better crashworthiness performance are always the key objectives for different energy absorbing structures applied in numerous industries including aerospace, rail equipment transportation, and automotive. In this study, a functionally graded thickness (FGT) design method is introduced in the design of a hexagon honeycomb structure to improve energy absorbing efficiency on the basis of a traditional honeycomb with uniform thickness (UT). The validation of a numerical analysis model for a UT honeycomb under axial loading is implemented by a nonlinear finite element code LS-DYNA (V971). Furthermore, the multiobjective crashworthiness optimization of an FGT honeycomb subjected to axial quasi-static compression is conducted to maximize specific energy absorption (SEA) and minimize peak crashing force (PCF). In addition, three surrogate models, including radial basis function (RBF), response surface method (RSM), and kriging (KRG), are compared in the accuracy of predicting SEA and PCF and capacity for optimization design of FGT honeycomb structure; the Nondominated Sorting Genetic Algorithm (NSGA-II) is applied to obtain the Pareto optimal solutions for the maximum thickness, minimum thickness, and thickness variation gradient exponent of a honeycomb wall. The optimal points obtained by different surrogate models subjected to an SEA value of 18.5 kJ/kg, 20 kJ/kg, 22 kJ/kg, and 24 kJ/kg are validated, and corresponding optimal parameters are compared; RBF and RSM are more suitable in crashworthiness optimization design of the FGT honeycomb structure. It is indicated that the FGT honeycomb with optimal geometrical parameters presents remarkable enhancement and energy absorbing potential compared to the traditional honeycomb structure.http://dx.doi.org/10.1155/2019/8938696
spellingShingle Ruixian Qin
Junxian Zhou
Bingzhi Chen
Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness
Advances in Materials Science and Engineering
title Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness
title_full Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness
title_fullStr Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness
title_full_unstemmed Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness
title_short Crashworthiness Design and Multiobjective Optimization for Hexagon Honeycomb Structure with Functionally Graded Thickness
title_sort crashworthiness design and multiobjective optimization for hexagon honeycomb structure with functionally graded thickness
url http://dx.doi.org/10.1155/2019/8938696
work_keys_str_mv AT ruixianqin crashworthinessdesignandmultiobjectiveoptimizationforhexagonhoneycombstructurewithfunctionallygradedthickness
AT junxianzhou crashworthinessdesignandmultiobjectiveoptimizationforhexagonhoneycombstructurewithfunctionallygradedthickness
AT bingzhichen crashworthinessdesignandmultiobjectiveoptimizationforhexagonhoneycombstructurewithfunctionallygradedthickness