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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Vydáno v:Structural and multidisciplinary optimization Ročník 60; číslo 1; s. 363 - 374
Hlavní autoři: Liu, Yu, Liu, Zijian, Zhong, Haolong, Qin, Huan, Lv, Cheng
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019
Springer Nature B.V
Témata:
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
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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ISSN:1615-147X
1615-1488
DOI:10.1007/s00158-019-02202-0