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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Model Order Reduction in the Multi-Scale Materials Setting
Model Order Reduction in the Multi-Scale Materials SettingAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact nobody. DDEW03 - Computational Challenges and Emerging Tools Two-scale simulations are often employed to analyze the effect of the microstructure on a component’s macroscopic properties. Understanding these structure–property relations is essential in the optimal design of materials, or to enable (for example) estimation of microstructure parameters through macroscale measurements. However, these two-scale simulations are typically computationally expensive and infeasible in multi-query contexts such as optimization and inverse problems. To make such analyses amenable, the microscopic simulations can be replaced by inexpensive, parametric surrogate models. In this talk, we (1) present some recent work on a non-intrusive reduced basis method to construct inexpensive surrogates for parametrized microscale problems, and (2) highlight difficulties for model order reduction presented by highly nonlinear constitutive relations in multi-scale problems in mechanics. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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