A probabilistic approach with built-in uncertainty quantification for the calibration of a superelastic constitutive model from full-field strain data-Reference-Cited by-同舟云学术

A probabilistic approach with built-in uncertainty quantification for the calibration of a superelastic constitutive model from full-field strain data

Published:2021-05 Issue: Volume:192 Page:110357
ISSN:0927-0256
Container-title:Computational Materials Science
language:en
Short-container-title:Computational Materials Science

Author:

Paranjape Harshad M.,Aycock Kenneth I.,Bonsignore Craig,Weaver Jason D.,Craven Brent A.,Duerig Thomas W.

Publisher

Elsevier BV

Subject

Computational Mathematics,General Physics and Astronomy,Mechanics of Materials,General Materials Science,General Chemistry,General Computer Science

Reference35 articles.

1. E. van der Giessen, P.A. Schultz, N. Bertin, V.V. Bulatov, W. Cai, G. Csányi, S.M. Foiles, M.G.D. Geers, C. González, M. Hütter, W.K. Kim, D.M. Kochmann, J. LLorca, A.E. Mattsson, J. Rottler, A. Shluger, R.B. Sills, I. Steinbach, A. Strachan, E.B. Tadmor, Modelling Simul. Mater. Sci. Eng. 28 (2020) 043001. 10.1088/1361-651X/ab7150.

2. A Tutorial on Bayesian Inference to Identify Material Parameters in Solid Mechanics

3. Introduction to the Bayesian Approach Applied to Elastic Constants Identification

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