About this book:

***Naval Architecture Computational Methods*** is a comprehensive technical guide designed for students, researchers, and practicing engineers involved in the design and refinement of modern vessels. Moving beyond theoretical abstraction, the book provides a practical, "how-to" framework for implementing numerical techniques and simulation workflows. It covers the entire design lifecycle, beginning with the foundations of geometry processing and hull surface representation, moving through advanced mesh generation, and delving into core hydrodynamic solvers, including potential-flow panel methods and Reynolds-averaged Navier–Stokes (RANS) CFD.

The text emphasizes the integration of multiple disciplines, offering in-depth coverage of fluid-structure interaction (FSI), hydroelasticity, and finite element analysis (FEA) for assessing structural loads, fatigue, and vibration. Central to the book is the concept of "credibility" in simulation; several chapters are dedicated to Verification, Validation, and Uncertainty Quantification (VVUQ), ensuring that numerical results correlate accurately with experimental data from towing tanks and sea trials. Readers will learn to build robust simulation pipelines that are not only accurate but also efficient, with guidance on High-Performance Computing (HPC) scalability and solver selection.

The final section of the book focuses on the evolution of ship design from manual iteration to automated innovation. It introduces optimization algorithms, surrogate modeling, and Multidisciplinary Design Optimization (MDO) to manage the complex trade-offs between resistance, stability, and weight. By incorporating practical advice on Python scripting, API automation, and regulatory compliance with Class rules, the book equips naval architects with the tools to manage data-intensive projects and develop optimized, resilient, and certifiable maritime assets in an increasingly digital industry.

What You'll Find Inside:

• Implementation of numerical methods including RANS-based CFD, Potential-Flow, and BEM for predicting vessel resistance, propulsion, and seakeeping.
• Advanced geometry processing and mesh generation strategies using NURBS, hybrid grids, and dynamic meshing for complex hull forms and appendages.
• High-fidelity simulation techniques for non-linear phenomena such as cavitation, slamming, green water on deck, and hydroelastic whipping.
• Integrated Multidisciplinary Design Optimization (MDO) frameworks using surrogate models, reduced-order models (ROMs), and genetic algorithms.
• Best practices for Verification, Validation, and Uncertainty Quantification (VVUQ) and automation workflows using Python and solver APIs.

Who's It For:

This book is a practical guide for students, researchers, and practicing engineers in the field of naval architecture and marine engineering. It specifically benefits designers and analysts seeking to integrate modern numerical tools and automated workflows into vessel design. It is also an essential resource for professionals focused on regulatory compliance and the credible application of high-performance computing in maritime projects.