Bayesian approach to micromechanical parameter identification using Integrated Digital Image Correlation-Reference-Cited by-同舟云学术

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Bayesian approach to micromechanical parameter identification using Integrated Digital Image Correlation

Published:2023-09 Issue: Volume:280 Page:112388
ISSN:0020-7683
Container-title:International Journal of Solids and Structures
language:en
Short-container-title:International Journal of Solids and Structures

Author:

Gaynutdinova L.^ORCID,Rokoš O.^ORCID,Havelka J.^ORCID,Pultarová I.^ORCID,Zeman J.^ORCID

Funder

České Vysoké Učení Technické v Praze

Ministry of Education Youth and Sports of the Czech Republic

Grantová Agentura České Republiky

European Regional Development Fund

Centrum pokročilých aplikovaných přírodních věd

Publisher

Elsevier BV

Subject

Applied Mathematics,Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Modeling and Simulation

Reference42 articles.

1. Estimation of small failure probabilities in high dimensions by subset simulation;Au;Probab. Eng. Mech.,2001

2. Overview of identification methods of mechanical parameters based on full-field measurements;Avril;Exp. Mech.,2008

3. Finite-element displacement fields analysis from digital images: Application to portevin–le châtelier bands;Besnard;Exp. Mech.,2006

4. Analysis of image series through global digital image correlation;Besnard;J. Strain Anal. Eng. Des.,2012

5. A comparison of deterministic and Bayesian inverse with application in micromechanics;Blaheta;Appl. Math.,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Micromechanics-based deep-learning for composites: Challenges and future perspectives;European Journal of Mechanics - A/Solids;2024-05

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