A computational framework for dynamic data-driven material damage control, based on Bayesian inference and model selection
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Publication:2952683
DOI10.1002/nme.4669zbMath1352.74275OpenAlexW1671527142MaRDI QIDQ2952683
Paul T. Bauman, K. Ravi-Chandar, Danial Faghihi, J. Tinsley Oden, Ernesto E. Prudencio
Publication date: 30 December 2016
Published in: International Journal for Numerical Methods in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nme.4669
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Uses Software
Cites Work
- One-dimensional strain-dependent creep damage in inhomogeneous materials
- Nonlinear creep damage under one-dimensional variable tensile stress
- SELECTION AND ASSESSMENT OF PHENOMENOLOGICAL MODELS OF TUMOR GROWTH
- Hidden Markov Models and Dynamical Systems
- The Continuous Damage Theory of Brittle Materials, Part 1: General Theory
- Probability Theory
- PARALLEL ADAPTIVE MULTILEVEL SAMPLING ALGORITHMS FOR THE BAYESIAN ANALYSIS OF MATHEMATICAL MODELS
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