A performance-driven lightweight optimization method for material-structure coupling design of cab

Due to the discreteness of material variables and nonlinearity of material plastic segment, the material-structure matching design efficiency of multiple parts is very low, and it is even difficult to achieve a feasible solution. To solve these problems, a performance-driven lightweight optimization...

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Bibliographic Details
Published in:Structural and multidisciplinary optimization 2024-02, Vol.67 (2), p.12, Article 12
Main Authors: Xie, Chong, Wang, Dengfeng, Wang, Shuang, Kong, Dewen, Du, Changqing
Format: Article
Language:English
Subjects:
Computational Mathematics and Numerical Analysis
Coupling
Crashworthiness
Design optimization
Engineering
Engineering Design
Impact strength
Industrial Application Paper
Lightweight
Materials selection
Multiple objective analysis
Optimization
Theoretical and Applied Mechanics
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Summary:Due to the discreteness of material variables and nonlinearity of material plastic segment, the material-structure matching design efficiency of multiple parts is very low, and it is even difficult to achieve a feasible solution. To solve these problems, a performance-driven lightweight optimization method that combines multi-material selection method and multi-objective optimization is proposed. First, a lightweight multi-material selection method for the cab is proposed, which integrates static stiffness constraint, equivalent crashworthiness, and evaluation method for material selection. Subsequently, the multi-material selection designs for the skeleton beam of cab are carried out. The results show that the material selection scheme achieved a mass reduction of 12.41 kg and material cost reduction of 0.861 yuan. Finally, a multi-objective optimization method incorporating TOPSIS method is used to solve material-structure coupling design. The results show that the mass of cab is reduced by 47.4 kg. The performance of cab are slightly changed, indicating the rationality of the lightweight design method.
ISSN:1615-147X
1615-1488
DOI:10.1007/s00158-023-03730-6