An extended R-number-based multi-objective optimization method and its application to optimal design of door inner panel

IF 4.4 2区工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computers & Structures Pub Date : 2025-04-13 DOI:10.1016/j.compstruc.2025.107762

Danqi Wang , Yikang Lu , Kui Li , Zhongwei Huang , Honghao Zhang , Tao Chen

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引用次数: 0

Abstract

With the increasing requirements of vehicle green level and safety level, deciding how to reasonably balance lightweight levels and crashworthiness objectives during the design phase has been a widespread concern in the field of passive safety. This study proposes an extended R-number-based multi-objective optimization method for optimal design of vehicle structures incorporating Non-dominated Sorting Genetic Algorithms-II, the Full Consistency Method, an acronym in Portuguese for Interactive and Multicriteria Decision Making, and Alternative Ranking Order Method Accounting for Two-Step Normalization. A finite element model of a car door, as an empirical application, is adopted to validate the effectiveness of the proposed hybrid method. Comparative and sensitivity analyses are conducted to verify the reliability of the results. The results show that the optimal alternative improves the first-order modal frequency, mass, and displacement under sinking stiffness conditions by 5.85%, 0.69%, and 17.62%, respectively, compared with the baseline design. The study provides an effective solution framework for the optimal design of vehicle structures and offers some references for practical engineering problems.

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基于扩展r数的多目标优化方法及其在门板优化设计中的应用

随着人们对车辆绿色水平和安全水平要求的不断提高，如何在设计阶段合理平衡轻量化水平和耐撞性目标已成为被动安全领域广泛关注的问题。本研究提出了一种扩展的基于r数的车辆结构优化设计的多目标优化方法，该方法结合了非支配排序遗传算法- ii、完全一致性方法（交互式多准则决策的葡萄牙语首字母组合）和考虑两步归一化的替代排序顺序方法。以某汽车车门有限元模型为实例，验证了该方法的有效性。通过对比分析和敏感性分析验证了结果的可靠性。结果表明，与基准设计相比，最优方案在下沉刚度条件下，一阶模态频率、质量和位移分别提高了5.85%、0.69%和17.62%。该研究为车辆结构优化设计提供了有效的解决框架，并为实际工程问题提供了一定的参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers & Structures 工程技术-工程：土木

CiteScore

8.80

自引率

6.40%

发文量

122

审稿时长

33 days

期刊介绍： Computers & Structures publishes advances in the development and use of computational methods for the solution of problems in engineering and the sciences. The range of appropriate contributions is wide, and includes papers on establishing appropriate mathematical models and their numerical solution in all areas of mechanics. The journal also includes articles that present a substantial review of a field in the topics of the journal.