A computational framework for dynamic data-driven material damage control, based on Bayesian inference and model selection-Reference-Cited by-同舟云学术

A computational framework for dynamic data-driven material damage control, based on Bayesian inference and model selection

Published:2014-04-14 Issue:3-4 Volume:102 Page:379-403
ISSN:0029-5981
Container-title:International Journal for Numerical Methods in Engineering
language:en
Short-container-title:Int. J. Numer. Meth. Engng

Author:

Prudencio E. E.¹,Bauman P. T.¹,Faghihi D.¹,Ravi-Chandar K.¹,Oden J. T.¹

Affiliation:

1. Institute for Computational Engineering and Sciences (ICES); The University of Texas at Austin; 201 East 24th St, Stop C0200, Austin Texas 78712-1229 USA

Funder

Air Force Office of Scientific Research

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/nme.4669/fullpdf

Reference32 articles.

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