Data-driven statistical reduced-order modeling and quantification of polycrystal mechanics leading to porosity-based ductile damage

Author:

Zhang Yinling,Chen NanORCID,Bronkhorst Curt A.ORCID,Cho Hansohl,Argus Robert

Funder

Los Alamos National Laboratory

National Research Foundation of Korea

National Science Foundation

U.S. Department of Energy

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics

Reference117 articles.

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2. Distribution-enhanced homogenization framework and model for heterogeneous elasto-plastic problems;Alleman;J. Mech. Phys. Solids,2015

3. Erfit: Entropic regression fit MATLAB package, for data-driven system identification of underlying dynamic equations;AlMomani,2020

4. How entropic regression beats the outliers problem in nonlinear system identification;AlMomani;Chaos,2020

5. Single-crystal elasto-viscoplasticity: application to texture evolution in polycrystalline metals at large strains;Anand;Comput. Methods Appl. Mech. Engrg.,2004

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