热-机耦合材料模型参数辨识中热边界条件的确定

Q1 Mathematics
Lars Rose, Andreas Menzel
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引用次数: 1

摘要

在简单的张力试验中,通过现场测量,热边界系数与热材料参数一起确定的可识别性和敏感性,通过使用具有自加热的简单张力试验作为概念证明,进行了经验证明。从10个不同的初始猜测开始识别,所有这些猜测都收敛于相同的最优值。该解决方案似乎是局部唯一的,因此参数是独立的,但与参考解决方案的比较表明,三个模型参数和与空气或夹爪热交换模型所需的规定外部温度之间存在高度相关性。通过在不同规定的外部温度下重新进行识别,并比较所获得的最优参数值,进一步分析了该灵敏度。虽然模型参数是独立的,但热传导和传热系数的最佳值与外部温度的测量误差的变化高度相关且敏感。因此,在简单张力试验的基础上进行精确的拟合需要精确的测量和能够准确预测耗散能量的合适材料模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the determination of thermal boundary conditions for parameter identifications of thermo-mechanically coupled material models

On the determination of thermal boundary conditions for parameter identifications of thermo-mechanically coupled material models

Identifiability and sensitivity of thermal boundary coefficients identified alongside thermal material parameters by means of full field measurements during a simple tension test are shown empirically using a simple tension test with self heating as a proof of concept. The identification is started for 10 different initial guesses, all of which converge toward the same optimum. The solution appears to be locally unique and parameters therefore independent, but a comparison against a reference solution indicates high correlation between three model parameters and the prescribed external temperatures required to model heat exchange with either air or clamping jaws. This sensitivity is further analyzed by rerunning the identification with different prescribed external temperatures and by comparing the obtained optimal parameter values. Although the model parameters are independent, optimal values for heat conduction and the heat transfer coefficients are highly correlated as well as sensitive with respect to a change, respectively, measurement error of the external temperatures. A precise fit on the basis of a simple tension test therefore requires precise measurements and a suitable material model which is able to accurately predict dissipated energy.

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来源期刊
GAMM Mitteilungen
GAMM Mitteilungen Mathematics-Applied Mathematics
CiteScore
8.80
自引率
0.00%
发文量
23
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