Reproduce “A Scoping Review on Simulation-based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps” on OpenResearch
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About this paper
Andrea Serani, Thomas Scholcz, Valentina Vanzi
This scoping review systematically maps the current landscape of Simulation-Based Design Optimization (SBDO) in marine engineering, detailing prevailing trends in methodologies, applications, and identified research gaps. It highlights a growing body of work, a strong preference for deterministic single-objective optimization, and the increasing adoption of RANS solvers and Kriging-based surrogate models in vehicle design.
Key insights
- The field is experiencing a rapid increase in research output, particularly from academic institutions, with China as the leading contributor.
- A strong preference exists for deterministic single-objective optimization, while multi-objective, stochastic, and multidisciplinary design optimization (MDO) approaches remain underutilized.
- High-fidelity RANS solvers are increasingly adopted over potential flow methods, and surrogate-based optimization, especially using Gaussian Process/Kriging, has become prevalent.
Summary by alphaXiv.
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