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Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
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A Scoping Review on Simulation-Based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps.

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Simulation-based design optimization (SBDO) is widely used in marine engineering, primarily for vessel hulls and components. Future research should explore multi-objective and stochastic methods for enhanced efficiency and robustness in complex marine applications.

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Area of Science:

  • Marine Engineering
  • Computational Fluid Dynamics
  • Optimization Techniques

Background:

  • Simulation-based design optimization (SBDO) is increasingly vital in marine engineering.
  • A comprehensive review of SBDO applications and trends in the marine sector is needed.

Purpose of the Study:

  • To assess the current utilization of SBDO in marine engineering.
  • To identify research trends, methodologies, and application domains of SBDO.
  • To highlight areas for future research and development in marine SBDO.

Main Methods:

  • Scoping review methodology.
  • Systematic literature search of 277 studies from Scopus and Web of Science.
  • Analysis of research trends, optimization methods, and application areas.

Main Results:

  • SBDO is predominantly applied to marine vessel hulls (surface and underwater), components (bows, sterns, propellers, fins), marine structures, and renewable energy systems.
  • Deterministic single-objective optimization methods are favored, suggesting opportunities for multi-objective and stochastic approaches.
  • Existing SBDO methodologies require enhanced efficiency and robustness for complex marine challenges.

Conclusions:

  • SBDO is a mature but evolving tool in marine engineering design.
  • There is a significant need for advancing SBDO methodologies, particularly in multi-objective and multidisciplinary optimization.
  • Future research should focus on improving the efficiency and robustness of SBDO for complex marine applications.