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用于椎间盘有限元模型材料非线性参数校准的统计因子分析方法

Statistical factorial analysis approach for parameter calibration on material nonlinearity of intervertebral disc finite element model.

作者信息

Tanaka Masao

机构信息

a Faculty of Manufacturing Engineering, Department of Design Manufacturing , Universiti Teknikal Malaysia Melaka , Melaka , Malaysia.

b Division of Bioengineering, Department of Mechanical Science and Bioengineering , Osaka University , Osaka , Japan.

出版信息

Comput Methods Biomech Biomed Engin. 2017 Aug;20(10):1066-1076. doi: 10.1080/10255842.2017.1331345. Epub 2017 May 22.

Abstract

In the biomechanics field, material parameters calibration is significant for finite element (FE) model to ensure a legit estimation of biomechanical response. Determining an appropriate combination of calibration factors is challenging as each constitutive component responds differently. This study proposes a statistical factorial analysis approach using L(4) orthogonal array to evaluate material nonlinearity and applicable calibration factor of the intervertebral disc FE model in pure moment. The calibrated model exhibits improved agreement to the experimental findings for all directions. Appropriate combination of calibration parameter reduces the estimation gap to the experimental findings, ensuring agreeable biomechanical responses.

摘要

在生物力学领域,材料参数校准对于有限元(FE)模型非常重要,以确保对生物力学响应进行合理估计。由于每个本构组件的响应不同,确定校准因子的适当组合具有挑战性。本研究提出了一种使用L(4)正交阵列的统计因子分析方法,以评估纯弯矩作用下椎间盘有限元模型的材料非线性和适用的校准因子。校准后的模型在所有方向上与实验结果的一致性都有所提高。校准参数的适当组合缩小了与实验结果的估计差距,确保了生物力学响应的一致性。

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