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Study on validation method for femur finite element model under multiple loading conditions

机译:多加载条件下股骨有限元模型验证方法研究

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Acquisition of accurate and reliable constitutive parameters related to bio-tissue materials was beneficial to improve biological fidelity of a Finite Element (FE) model and predict impact damages more effectively. In this paper, a femur FE model was established under multiple loading conditions with diverse impact positions. Then, based on sequential response surface method and genetic algorithms, the material parameters identification was transformed to a multi-response optimization problem. Finally, the simulation results successfully coincided with force-displacement curves obtained by numerous experiments. Thus, computational accuracy and efficiency of the entire inverse calculation process were enhanced. This method was able to effectively reduce the computation time in the inverse process of material parameters. Meanwhile, the material parameters obtained by the proposed method achieved higher accuracy.
机译:采集与生物组织材料相关的准确和可靠的本构参数有利于改善有限元(FE)模型的生物保真度,并更有效地预测影响损坏。在本文中,在多重装载条件下建立了股骨Fe模型,具有不同的冲击位置。然后,基于顺序响应表面方法和遗传算法,将材料参数识别转化为多响应优化问题。最后,模拟结果成功地与多次实验获得的力 - 位移曲线相结合。因此,增强了整个逆计算过程的计算准确性和效率。该方法能够在材料参数的逆过程中有效地降低计算时间。同时,通过所提出的方法获得的材料参数实现了更高的准确性。

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