Gauge sensitivity analysis and optimization of the modular automotive body with different loadings

The structural optimization method based on sensitivity analysis is an effective way to reduce the mass of automotive body structure. In this paper, an effective structural optimization method is proposed to facilitate the lightweight design of modular automotive body, where gauge sensitivity analys...

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Veröffentlicht in:	Structural and multidisciplinary optimization Jg. 60; H. 1; S. 363 - 374
Hauptverfasser:	Liu, Yu, Liu, Zijian, Zhong, Haolong, Qin, Huan, Lv, Cheng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019 Springer Nature B.V
Schlagworte:	Automotive bodies Computational Mathematics and Numerical Analysis Engineering Engineering Design Finite difference method Finite element method Genetic algorithms Industrial Application Modular construction Modular design Modular structures Optimization Optimization models Performance indices Sensitivity analysis Structural analysis Theoretical and Applied Mechanics Modular automotive body Structural optimization Gauge sensitivity analysis Genetic algorithm Method of reverberation ray matrix Finite difference method
ISSN:	1615-147X, 1615-1488
Online-Zugang:	Volltext
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Abstract	The structural optimization method based on sensitivity analysis is an effective way to reduce the mass of automotive body structure. In this paper, an effective structural optimization method is proposed to facilitate the lightweight design of modular automotive body, where gauge sensitivity analysis values are used to determine the optimized direction to increase or decrease the thickness of each beam element in the body model. An object-oriented MATLAB toolbox constructed in our previous study is adopted as a black box for the structural analysis and optimization of the body-in-white (BIW) model, in which the beam element sensitivity values of BIW structure under different loading conditions are fast calculated by the method of reverberation ray matrix (MRRM) and the finite difference method (FDM). Then, the optimized direction of each beam element is identified, and a structural optimization model is formulated and solved by the genetic algorithm (GA). In order to verify the effectiveness of this method, a simplified modular automotive body model is constructed to implement the performance indexes comparison between the initial body model and optimized body model. The analysis results show that this method is feasible and effective for the optimal design of modular automotive body structure.
AbstractList	The structural optimization method based on sensitivity analysis is an effective way to reduce the mass of automotive body structure. In this paper, an effective structural optimization method is proposed to facilitate the lightweight design of modular automotive body, where gauge sensitivity analysis values are used to determine the optimized direction to increase or decrease the thickness of each beam element in the body model. An object-oriented MATLAB toolbox constructed in our previous study is adopted as a black box for the structural analysis and optimization of the body-in-white (BIW) model, in which the beam element sensitivity values of BIW structure under different loading conditions are fast calculated by the method of reverberation ray matrix (MRRM) and the finite difference method (FDM). Then, the optimized direction of each beam element is identified, and a structural optimization model is formulated and solved by the genetic algorithm (GA). In order to verify the effectiveness of this method, a simplified modular automotive body model is constructed to implement the performance indexes comparison between the initial body model and optimized body model. The analysis results show that this method is feasible and effective for the optimal design of modular automotive body structure.
Author	Lv, Cheng Liu, Yu Liu, Zijian Zhong, Haolong Qin, Huan
Author_xml	– sequence: 1 givenname: Yu surname: Liu fullname: Liu, Yu organization: State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University – sequence: 2 givenname: Zijian surname: Liu fullname: Liu, Zijian email: zijianliu@hnu.edu.cn organization: State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University – sequence: 3 givenname: Haolong surname: Zhong fullname: Zhong, Haolong organization: State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University – sequence: 4 givenname: Huan surname: Qin fullname: Qin, Huan organization: State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University – sequence: 5 givenname: Cheng surname: Lv fullname: Lv, Cheng organization: The School of Robot Engineering and Mechanical-Electrical Engineering, Chongqing University of Arts and Sciences
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Cites_doi	10.1016/j.advengsoft.2018.03.015 10.2514/2.778 10.1007/s12239-009-0021-5 10.1016/j.finel.2007.06.005 10.1016/S0045-7949(99)00088-7 10.1007/s12239-016-0098-6 10.1177/0954407015586677 10.1016/j.procir.2014.03.116 10.1177/1063293X15597047 10.1080/03052158708941096 10.1016/j.tws.2017.03.023 10.1504/IJVD.2014.064546 10.1016/j.finel.2008.12.004 10.1007/s00158-018-1949-8 10.1177/0021998314557684 10.1016/j.advengsoft.2017.01.003 10.1007/s12206-016-0713-5 10.1016/j.trpro.2016.05.487 10.1006/jsvi.2000.2960 10.1504/IJVD.2011.043591 10.1016/j.advengsoft.2013.04.003 10.1016/j.proeng.2012.10.139 10.1016/j.cma.2018.01.035 10.1061/(ASCE)0733-9399(2003)129:3(324) 10.1115/1.1814391 10.1016/j.finel.2008.12.003 10.1080/0305215X.2015.1099638 10.1061/(ASCE)0733-9399(1998)124:8(884) 10.1177/0954407014551585 10.1177/0954407015581937 10.1016/j.tws.2010.10.003 10.1016/j.finel.2012.05.006 10.1016/S0045-7949(02)00010-X 10.1007/s00158-003-0356-x 10.1016/j.compositesb.2016.09.093 10.1007/s00158-005-0568-3 10.1115/1.1666890 10.1016/j.tws.2009.05.002 10.1016/j.compstruct.2016.02.030 10.1061/(ASCE)CP.1943-5487.0000714 10.5923/j.mechanics.20130304.04
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Keywords	Modular automotive body Structural optimization Gauge sensitivity analysis Genetic algorithm Method of reverberation ray matrix Finite difference method
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Snippet	The structural optimization method based on sensitivity analysis is an effective way to reduce the mass of automotive body structure. In this paper, an...
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SubjectTerms	Automotive bodies Computational Mathematics and Numerical Analysis Engineering Engineering Design Finite difference method Finite element method Genetic algorithms Industrial Application Modular construction Modular design Modular structures Optimization Optimization models Performance indices Sensitivity analysis Structural analysis Theoretical and Applied Mechanics
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Title	Gauge sensitivity analysis and optimization of the modular automotive body with different loadings
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