Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method
Volume: 384, Pages: 113924 - 113924
Published: Oct 1, 2021
Abstract
In order to optimally design materials, it is crucial to understand the structure-property relations in the material by analyzing the effect of microstructure parameters on the macroscopic properties. In computational homogenization, the microstructure is thus explicitly modeled inside the macrostructure, leading to a coupled two-scale formulation. Unfortunately, the high computational costs of such multiscale simulations often render the...
Paper Details
Title
Learning constitutive models from microstructural simulations via a non-intrusive reduced basis method
Published Date
Oct 1, 2021
Volume
384
Pages
113924 - 113924
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