Quantifying the Impact of Stochastic Variability on Computational Fluid Dynamics Simulations in Marine Applications

Abstract

This study examines the influence of stochastic variability on computational fluid dynamics (CFD) simulations in marine environments, specifically focusing on wave dynamics and vessel interactions. Utilizing advanced Monte Carlo methods, we evaluate the significance of probabilistic parameters on simulation accuracy and operational efficiency. Our results indicate that incorporating stochastic elements leads to enhanced predictive capabilities, reducing errors in potential energy estimates by up to 25%. These findings underscore the necessity of integrating randomness in CFD models for more reliable marine engineering applications. We conclude with recommendations for implementing stochastic frameworks in future CFD studies, thereby improving decision-making in maritime operations.