collaborators

6 papers

math.NA2026

Isogeometric Analysis for Explicit Wave Propagation in Poroelastic Media

Maarten M. Hodzelmans, René R. Hiemstra, Joris J. C. Remmers +1

For higher-order discretizations of explicit dynamics problems, Isogeometric Analysis (IGA) has several favorable properties as compared to classical Finite Element Analysis (FEA).…

math.NA2026

Data-driven moving-window Bayesian inference for transient CO2-temperature network models of buildings

Zhijian Wang, Stein K. F. Stoter, Clemens V. Verhoosel +1

In this work, we proposes a CO2-temperature network model that links multi-zone mass transport and thermal dynamics through shared latent drivers, airflow and occupancy. The therma…

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…

physics.flu-dyn2026

Bayesian Model Selection for Complex Flows of Yield Stress Fluids

Aricia Rinkens, Clemens V. Verhoosel, Alexandra Alicke +2

Modeling yield stress fluids in complex flow scenarios presents significant challenges, particularly because conventional rheological characterization methods often yield material…

cs.CE2024

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…