1 citations · 1 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
A probabilistic reduced-order modeling framework for patient-specific cardio-mechanical analysis
Robin Willems, Peter Förster, Sebastian Schöps +2
Cardio-mechanical models can be used to support clinical decision-making. Unfortunately, the substantial computational effort involved in many cardiac models hinders their applicat…
Bayesian estimation and uncertainty quantification of a temperature-dependent thermal conductivity
Rodrigo L. S. Silva, Clemens Verhoosel, Erik Quaeghebeur
We consider the problem of estimating a temperature-dependent thermal conductivity model (curve) from temperature measurements. We apply a Bayesian estimation approach that takes i…