Abstract
Marine hydrodynamics plays a pivotal role in the design, operation, and sustainability of maritime vessels and offshore structures. Recent advancements in computational modeling have revolutionized the study of fluid dynamics in marine environments. This paper explores the evolution of computational models used in marine hydrodynamics, emphasizing their applications in optimizing ship design, enhancing safety, and improving fuel efficiency. The article reviews the key techniques in computational fluid dynamics (CFD) modeling, the integration of turbulence models, and the impact of machine learning algorithms in predicting marine hydrodynamic behaviors. Furthermore, the paper discusses the future trends in high-performance computing and real-time simulations that will further enhance marine engineering capabilities.

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Copyright (c) 2025 Dr. Lisa M. Thorne, (Author)