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Calibration of a class of non-linear viscoelasticity models with adaptive error control

机译:用自适应误差控制校正一类非线性粘弹性模型

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摘要

The calibration of constitutive models is considered as an optimization problem where parameter values are sought to minimize the discrepancy between measured and simulated response. Since a finite element method is used to solve an underlying state equation, discretization errors arise, which induce errors in the calibrated parameter values. In this paper, adaptive mesh refinement based on the pertinent dual solution is used in order to reduce discretization errors in the calibrated material parameters. By a sensitivity assessment, the influence from uncertainties in experimental data is estimated, which serves as a threshold under which there is no need to further reduce the discretization error. The adaptive strategy is employed to calibrate a viscoelasticity model with observed data from uniaxial compression (i.e., homogeneous stress state), where the FE-discretization in time is studied. The a posteriori error estimations show an acceptable quality in terms of effectivity measures.
机译:本构模型的校准被认为是一个优化问题,其中寻求参数值以最小化测量响应与模拟响应之间的差异。由于使用了有限元方法来求解基本状态方程,因此会出现离散误差,从而导致校准参数值出现误差。在本文中,基于相关对偶解的自适应网格细化用于减少校准材料参数中的离散化误差。通过敏感性评估,可以估算实验数据不确定性的影响,该阈值可作为一个阈值,在该阈值下无需进一步减小离散化误差。自适应策略用于根据单轴压缩(即均质应力状态)的观测数据校准粘弹性模型,其中研究了FE随时间的离散化。后验误差估计在有效性度量方面显示出可接受的质量。

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