Stijn François

TL;DR: In this paper, a methodology that allows quantifying the corresponding variability in ground vibration predictions is presented, which is verified by means of Monte Carlo simulations and its usefulness for assessing the mismatch between predicted and measured ground vibrations is demonstrated in a case study.

TL;DR: In this paper, a Bayesian approach is followed to solve the inverse problem in the Spectral Analysis of Surface Waves (SASW) method, which is a technique for the identification of the thickness, dynamic shear modulus, and damping ratio of shallow soil layers.

TL;DR: The main principles of Stabil are explained and teaching experiences over the past 15 years are discussed, which are presently used throughout the curricula of Civil and Architectural Engineering at KU Leuven.

TL;DR: A finite element-perfectly matched layers model is presented to compute the modal characteristics of 2D and 3D coupled soil-structure systems while taking fully into account dynamic soil-Structure interaction.

TL;DR: In this article, a Bayesian inversion framework for ductile fracture was developed to provide accurate knowledge regarding the effective mechanical parameters, where synthetic and experimental observations are used to estimate the posterior density of the unknowns.