Le projet ROS-3D a été réalisé dans le cadre du WEAMEC et avec le financement de la CARENE par l’Université de Nantes
Résumé de la publication
Numerical 3D deterministic models of offshore monopile foundations are computationally-expensive and thus they present a great obstacle to the use of the conventional Monte Carlo Simulation (MCS) methodology for the probabilistic analysis. In this paper, a reliable and efficient Kriging-based probabilistic model called Global Sensitivity Analysis enhanced Surrogate (GSAS) modeling is used. The objective is to perform a probabilistic analysis of a monopile foundation subjected to a combined loading. An undrained normally consolidated clayey soil with spatially varying soil properties was considered. Some probabilistic numerical results are presented and discussed.