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首页> 外文期刊>Computational Mechanics: Solids, Fluids, Fracture Transport Phenomena and Variational Methods >Calibration of a class of non-linear viscoelasticity models with adaptive error control
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Calibration of a class of non-linear viscoelasticity models with adaptive error control

机译:使用自适应误差控制校准一类非线性粘弹性模型

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The calibration of constitutive models is considered as an optimization problem where parameter values aresought to minimize the discrepancy between measured andsimulated response. Since a finite element method is used tosolve an underlying state equation, discretization errors arise,which induce errors in the calibrated parameter values. In thispaper, adaptive mesh refinement based on the pertinent dualsolution is used in order to reduce discretization errors in thecalibrated material parameters. By a sensitivity assessment,the influence from uncertainties in experimental data is estimated,which serves as a threshold under which there is noneed to further reduce the discretization error. The adaptivestrategy is employed to calibrate a viscoelasticity model withobserved data from uniaxial compression (i.e., homogeneousstress state), where the FE-discretization in time is studied.The a posteriori error estimations show an acceptable qualityin 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和模拟响应之间的差异。由于使用有限元方法求解基础状态方程,因此会出现离散化误差,从而导致校准参数值出现误差。本文采用基于相关对偶解的自适应网格细化方法,以减小标定材料参数中的离散化误差。通过敏感性评估,估计实验数据中不确定性的影响,作为无需进一步减小离散化误差的阈值。采用自适应策略利用单轴压缩(即均匀应力状态)的观测数据校准粘弹性模型,其中研究了时间上的有限元离散化。后验误差估计在有效性测量方面显示出可接受的质量。

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