Multiobjective Optimization of a Submarine Hull Design | Zendy

Jaime David Mora Paz | Zendy; Oscar Darío Tascón Muñoz | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Multiobjective Optimization of a Submarine Hull Design

Author(s) -

Jaime David Mora Paz,

Oscar Darío Tascón Muñoz

Publication year - 2014

Publication title -

ciencia y tecnología de buques

Language(s) - English

Resource type - Journals

eISSN - 2619-645X

pISSN - 1909-8642

DOI - 10.25043/19098642.92

Subject(s) - submarine , hull , set (abstract data type) , mathematical optimization , parametric statistics , genetic algorithm , parametric design , computer science , multi objective optimization , optimal design , marine engineering , mathematics , engineering , machine learning , statistics , programming language

A synthesis model for the concept design of a submarine is developed consisting of a parametric definition of the hull geometry, a maneuverability model based on slender-body theory, and a resistance formulation. This coupled model is suitable to be treated by a metaheuristic multiobjective optimization technique (a genetic algorithm) to find a set of design options that satisfy the need to minimize simultaneously the turning diameter and the resistance generated. According to typical data found in submarines like the one analyzed herein, the boundaries and some constraints are set for the design variables. Finally, some solutions for this design case are obtained considering the criteria adopted in this study.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research