基于参数反求法的目标假车底盘碾压模型修正
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刘志恩,男,1977年10月生,博士、副教授。主要研究方向为汽车噪声与振动(NVH)控制。曾发表《Structural modal analysis and optimization of SUV door based on response surface method》(《Shock and Vibration》2020, Vol.2020, No.1)等论文。

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TH113;O322

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国家重点研发计划资助项目(2016YFD0700704B);国家自然科学基金资助项目(51575410)


Correction of the Target Dummy Vehicle Chassis Rolling Model Based on Parameters Reverse Method
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    摘要:

    针对某目标假车底盘结构设计开发中的碾压性能仿真分析问题进行研究,首先,通过非线性动力学有限元方法进行底盘碾压性能仿真,并与实验结果进行对比,分析指出误差较大的原因;其次,应用参数反求法对底盘碾压模型中的实验车车轮模型参数进行修正,基于遗传算法得到车轮模型参数的最优解;最后,依据车轮模型参数的最优解进行参数修正,修正车轮参数后的目标假车底盘碾压仿真模型仿真结果与实验值的拟合程度大幅提高。研究结果表明:测量点最大位移值误差由原来的16.7%下降到2.6%,评估点均方根误差下降了91.9%,可为后续结构损伤诊断及结构优化等仿真研究提供基准模型。

    Abstract:

    Aiming at the problem of simulation and analysis of rolling performance in the design and development of the chassis structure of a target dummy vehicle, the nonlinear dynamics finite element method is used to simulate the rolling performance of the chassis. Calculated results are compared with the experimental results, and the reasons for the large error are analyzed. Parameters of the wheel model of the experimental vehicle in the chassis rolling model are modified by the parameters reverse method, and the optimal solution of the wheel model parameters is obtained based on genetic algorithm. Based on the modified parameters according to the optimal solution of the wheel model parameters, the fitting degree of the simulation results and the experimental values of the modified wheel parameters are greatly improved. The maximum displacement error of the measurement point is reduced from 16.7% to 2.6%, and the root mean square error of the evaluation point is reduced by 91.9%. The accuracy of the simulation analysis results of the target dummy vehicle chassis rolling has been greatly improved, which provides a reference model for the subsequent structural damage diagnosis and structural optimization simulation research.

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历史
  • 收稿日期:2020-10-09
  • 最后修改日期:2021-04-30
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  • 在线发布日期: 2023-06-29
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