Uncertainty quantification of hydrodynamic forces on the DTC model in shallow water waves using CFD and non-intrusive polynomial chaos method

Abstract

In this paper, uncertainty quantification of hydrodynamic forces on the DTC model advancing in shallow water waves is studied. First, verification and validation (V&V) and uncertainty quantification (UQ) in uncertainty analysis for CFD simulation are compared. A state-of-the-art method for UQ problems, the non-intrusive polynomial chaos (NIPC) method is introduced and validated to be effective by studying a stochastic function, together with the Monte-Carlo (MC) method. Then NIPC method is applied to quantify the uncertainty of the resistance, heave motion and pitch motion of the DTC model in shallow water waves. Computations are performed with the CFD software STAR-CCM+. The uncertainty induced by waves treated as stochastic variables with Gaussian distribution is studied. UQ results obtained by MC method and NIPC method are compared with the benchmark data. The results obtained by NIPC method show better agreement with the benchmark data than those by MC method.