Stochastic Assessment of Ship Response in Heavy Weather via Computational Fluid Dynamics

The focus of the present work is the assessment of stochastic validation methods for the prediction of large amplitude ship motions in heavy weather, including comparison with experimental fluid dynamics (EFD) data. Stochastic validation is assessed for course keeping of a naval destroyer hull form by free-running CFD (URANS) simulations in irregular sternquartering waves. The stochastic validation of CFD is achieved by statistical assessment of EFD data and CFD results by large sample uncertainty quantification methods for input waves and ship response via spectrum and moving block bootstrap analysis. CFD results are in a very good agreement with EFD, showing satisfactory outcomes of the stochastic validation procedure.