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cs.CE2026
A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
Aricia Rinkens, Rodrigo L. S. Silva, Erik Quaeghebeur +2
Employing Bayesian inference to calibrate constitutive model parameters has grown substantially in recent years. Among the available techniques, Markov Chain Monte Carlo (MCMC) sam…
cs.CE2026
Discretization-optimized Bayesian model calibration for nonlinear constitutive modeling in heat conduction
Rodrigo L. S. Silva, Clemens Verhoosel, Erik Quarghebeur
We present a Bayesian model calibration framework for inferring nonlinear constitutive relationships in heat conduction problems, with a focus on temperature-dependent thermal cond…