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Occupant’s lower extremities’ impact-based model calibration for vehicle under-belly blast
Structural and Multidisciplinary Optimization ( IF 3.9 ) Pub Date : 2020-08-14 , DOI: 10.1007/s00158-020-02668-3
Qichen Zheng , Ran Wei , Mingxing Li , Xianhui Wang , Di Zhou , Tiaoqi Fu

Computer-aided engineering (CAE) technology is an important tool in the research of vehicle under-belly blast. A high-quality CAE model is required to guarantee accurate prediction. This requires an efficient model calibration process with physical testing, but the traditional model calibration method based on trial and error and operators’ experience is usually very inefficient and arbitrary. In this paper, an automatic model calibration process based on the Error Assessment of Response Time Histories (EARTH) metric is applied. The EARTH metric evaluates the discrepancies between test and CAE by quantifying the phase error, magnitude error, and slope error between their time histories. Then, an automatic calibration process can be achieved by solving a multi-objective optimization problem for which the optimization object is minimizing discrepancies between testing and CAE and results in automatic calibration of key parameters of the blast simulation CAE model. A case of occupant’s lower extremities’ responses under vehicle under-belly blast load is studied as an example to demonstrate the feasibility of the applied method.



中文翻译:

乘员下肢基于冲击的车辆腹部爆破模型校准

计算机辅助工程(CAE)技术是研究车辆腹部爆破的重要工具。需要高质量的CAE模型来保证准确的预测。这需要通过物理测试进行有效的模型校准过程,但是基于试错法和操作员经验的传统模型校准方法通常效率低下且武断。在本文中,基于响应时间历史(EARTH)度量的误差评估的模型自动校准过程被应用。EARTH度量标准通过量化时间和时间之间的相位误差,幅度误差和斜率误差来评估测试和CAE之间的差异。然后,通过解决多目标优化问题可以实现自动校准过程,该问题的优化目标是使测试和CAE之间的差异最小化,并导致对爆炸模拟CAE模型的关键参数进行自动校准。以车辆下腹部爆破载荷下乘客下肢的反应为例,说明该方法的可行性。

更新日期:2020-08-14
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