TODAY (special time & place): Qizhi He, 15-Nov-22, 12pm Central
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Ellad Tadmor
Nov 15, 2022, 8:32:04 AM11/15/22
to aem-solid...@umn.edu
AEM Mechanics Research Seminar
TODAY, Tuesday 15-Nov-2022, Special Time & Place, 12:00pm Central
Prof. Qizhi He
Department of Civil, Environmental, and Geo-Engineering, University of Minnesota
Title: Data-Assisted Computational Mechanics: From Reduced Order Modeling to Physics-Constrained Deep Surrogate Model
Abstract: Constitutive modeling and large-scale simulation remain challenging due to the inherent complexities of materials such as inelasticity and heterogeneities. Surrogate modeling has been popularized as a promising alternative to full-scale simulation in complex engineering processes. This talk will survey our recent research on developing hybrid computational methods by combining physics-based mesh-free numerical models and data-driven dimensionality reduction techniques to address various difficulties in computational mechanics arising from material modeling, characterization, and reduced-order modeling. The proposed methods will be demonstrated on examples related to mechanical, biomechanics, and geophysical applications.
I will first talk about the development of reduced-order models for a nonlinear thermomechanical problem based on manifold learning together with sparse sampling. This hyper-reduction method is used for fast prediction of thermal fatigue behaviors of electronic packages. Second, by introducing manifold learning to the constitutive model component, we propose a physics-constrained data-driven modeling approach under the Galerkin meshfree framework, which enables predictive physical simulation directly from material data without the employment of phenomenological constitutive models. Lastly, I will discuss our recent work on developing a novel hybrid FEM/neural-based surrogate method for coupled systems with the application of ice-sheet modeling.
For more information, visit the AEM Mechanics Research Seminar website:
In-person: Room 225, Akerman Hall, University of Minnesota
Online: Webinar registration link
Department of Civil, Environmental, and Geo-Engineering, University of Minnesota
Title: Data-Assisted Computational Mechanics: From Reduced Order Modeling to Physics-Constrained Deep Surrogate Model
Abstract: Constitutive modeling and large-scale simulation remain challenging due to the inherent complexities of materials such as inelasticity and heterogeneities. Surrogate modeling has been popularized as a promising alternative to full-scale simulation in complex engineering processes. This talk will survey our recent research on developing hybrid computational methods by combining physics-based mesh-free numerical models and data-driven dimensionality reduction techniques to address various difficulties in computational mechanics arising from material modeling, characterization, and reduced-order modeling. The proposed methods will be demonstrated on examples related to mechanical, biomechanics, and geophysical applications.
I will first talk about the development of reduced-order models for a nonlinear thermomechanical problem based on manifold learning together with sparse sampling. This hyper-reduction method is used for fast prediction of thermal fatigue behaviors of electronic packages. Second, by introducing manifold learning to the constitutive model component, we propose a physics-constrained data-driven modeling approach under the Galerkin meshfree framework, which enables predictive physical simulation directly from material data without the employment of phenomenological constitutive models. Lastly, I will discuss our recent work on developing a novel hybrid FEM/neural-based surrogate method for coupled systems with the application of ice-sheet modeling.
For more information, visit the AEM Mechanics Research Seminar website:
____________________________________________________________
Ellad B. Tadmor, Professor
Department of Aerospace Engineering and Mechanics
University of Minnesota
107 Akerman Hall, 110 Union St SE
Minneapolis, MN 55455, USA
tel: 612-625-6642
fax: 612-626-1558
web: Tadmor Website | Modeling Materials Book Website
____________________________________________________________
Ellad B. Tadmor, Professor
Department of Aerospace Engineering and Mechanics
University of Minnesota
107 Akerman Hall, 110 Union St SE
Minneapolis, MN 55455, USA
tel: 612-625-6642
fax: 612-626-1558
web: Tadmor Website | Modeling Materials Book Website
____________________________________________________________
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