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An FE-DMN method for the multiscale analysis of thermomechanical composites

机译:一种用于热机械复合材料多尺度分析的FE-DMN方法

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摘要

We extend the FE-DMN method to fully coupled thermomechanical two-scale simulations of composite materials. In particular, every Gauss point of the macroscopic finite element model is equipped with a deep material network (DMN). Such a DMN serves as a high-fidelity surrogate model for full-field solutions on the microscopic scale of inelastic, non-isothermal constituents. Building on the homogenization framework of Chatzigeorgiou et al. (Int J Plast 81:18-39, 2016), we extend the framework of DMNs to thermomechanical composites by incorporating the two-way thermomechanical coupling, i.e., the coupling from the macroscopic onto the microscopic scale and vice versa, into the framework. We provide details on the efficient implementation of our approach as a user-material subroutine (UMAT). We validate our approach on the microscopic scale and show that DMNs predict the effective stress, the effective dissipation and the change of the macroscopic absolute temperature with high accuracy. After validation, we demonstrate the capabilities of our approach on a concurrent thermomechanical two-scale simulation on the macroscopic component scale.
机译:我们将FE-DMN方法扩展到复合材料的全耦合热机械双尺度模拟。特别是,宏观有限元模型的每个高斯点都配备了深度材料网络(DMN)。这种DMN可作为非弹性、非等温成分微观尺度上全场解的高保真替代模型。在Chatzigeorgiou等人(Int J Plast 81:18-39,2016)的均质化框架的基础上,我们将DMNs的框架扩展到热机械复合材料,将双向热机械耦合,即从宏观到微观尺度的耦合,反之亦然。我们详细介绍了如何有效实施我们的方法作为用户材料子程序 (UMAT)。我们在微观尺度上验证了我们的方法,并表明DMNs可以高精度地预测有效应力、有效耗散和宏观绝对温度的变化。经过验证,我们在宏观组件尺度上同时进行热机械双尺度模拟,展示了我们的方法的能力。

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