Hierarchical Bayesian inference for multiscale plasticity and damage with neural network surrogate models
Mathematics and Mechanics of Solids
Published online on March 24, 2026
Abstract
Mathematics and Mechanics of Solids, Ahead of Print.
The integration of Bayesian inference into constitutive modeling provides a rigorous framework for uncertainty quantification in plasticity and damage mechanics. This work presents a hierarchical Bayesian approach for inferring material parameters and ...
The integration of Bayesian inference into constitutive modeling provides a rigorous framework for uncertainty quantification in plasticity and damage mechanics. This work presents a hierarchical Bayesian approach for inferring material parameters and ...