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Reliability-based design for lightweight vehicle structures with uncertain manufacturing accuracy

机译：基于可靠性的轻量级车辆结构设计，具有不确定的制造精度

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摘要

Structural lightweight optimization is one of the key themes to continuously improve vehicle performance. However, most of the studies so far have not considered reliability and manufacturing issues brought about by the uncertainty of tolerances in structural lightweight optimization. In this study, a reliability-based design for lightweight vehicle structures with uncertain manufacturing accuracy is proposed. This method can provide not only the optimal design variables but also the maximum allowable deviation range. The main design variables lacking sample information are regarded as interval variables and other design parameters as probabilistic values. A progressive reliability-based design with uncertain manufacturing accuracy is established for lightweight vehicle structures by employing the transformation method of the interval model and the decoupling strategy of the probabilistic model. Firstly, the general test function is used to analyze the accuracy and efficiency of the reliability decoupling method. Then, lightweight optimization models of a classic cantilever beam and two vehicle structures (parking robot frame, energy absorption box) are established respectively, and the effectiveness of the present optimization method is verified. The optimized design results show that the optimal variables and the corresponding maximum allowable deviation range under acceptable manufacturing requirements can be obtained. The requirements for manufacturing accuracy can be reduced by appropriately increasing the deviation range of the design variables, which may lead to a reduction in manufacturing cost. This study aims to provide feasible design options by optimizing lightweight structures considering uncertain manufacturing accuracy.
机译：结构轻量级优化是不断提高车辆性能的关键主题之一。然而，到目前为止，大多数研究都没有考虑通过结构轻质优化的公差的不确定性所带来的可靠性和制造问题。在这项研究中，提出了一种基于可靠性的用于具有不确定制造精度的轻型车辆结构的设计。该方法不仅可以提供最佳设计变量，还可以提供最大允许偏差范围。缺少示例信息的主要设计变量被视为间隔变量和其他设计参数作为概率值。通过采用间隔模型的转换方法和概率模型的去耦策略来建立具有不确定的制造精度的基于渐进式可靠性的设计。首先，一般测试功能用于分析可靠性解耦方法的准确性和效率。然后，分别建立了经典悬臂梁和两个车辆结构（停车机器人框架，能量吸收箱）的轻质优化模型，并验证了本优化方法的有效性。优化的设计结果表明，可以获得可接受的制造要求下的最佳变量和相应的最大允许偏差范围。通过适当地增加设计变量的偏差范围，可以减少制造精度的要求，这可能导致制造成本降低。本研究旨在通过优化考虑不确定的制造精度的轻质结构来提供可行的设计选择。

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  • 来源
    《Applied Mathematical Modelling》 |2021年第7期|22-37|共16页
  • 作者

    Xiang Xu; Xinbo Chen; Zhe Liu; Yanan Xu; Yong Zhang;

  • 作者单位

    School of Automotive Studies Tongji University Shanghai 201804 China;

    School of Automotive Studies Tongji University Shanghai 201804 China Clean Energy Automotive Engineering Center Tongji University Shanghai 201804 China;

    School of Automotive Studies Tongji University Shanghai 201804 China;

    School of Automotive Studies Tongji University Shanghai 201804 China School of Aerospace Mechanical and Mechatronic Engineering The University of Sydney NSW 2006 Australia;

    College of Mechanical Engineering and Automation Huaqiao University Xiamen 361021 China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Lightweight design; Optimization; Uncertainty; Vehicle structures; Thin-walled structures; Crashworthiness;

    机译：轻型设计;优化;不确定;车辆结构;薄壁结构;斗争;

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