The Research on Optimizing Shoulder of Ship Bow by Combining Particle Swarm Optimization and Sequential Quadratic Programming

  • 洪 維宣

Student thesis: Master's Thesis


In recent years in order to reduce operating costs shiponwers gradually pay attention to fuel costs problem Shipyards also focus on the development of low fuel consumption ship to meet owner’s requirements Generally the fuel consumption is almost caused by power machinery effectiveness and sailing resistance However the sailing resistance is affected by the shape of ship and a good ship shape can effectively reduce resistance and achieve reduction of fuel consumption Nowadays the ship lines design is modified by manual method This method must invest a lot of time and manpower Therefore it is proposed an automated way to modify ship lines using hydrodynamic performance to evaluate and assist ship design in this study In current study C# has been used to integrate the CFD software “SHIPFLOW” modeling software “Rhinoceros” seakeeping simulation program and optimization algorithm Then using this framework solves ship optimization problems First of all Rhinoceros used to achieve ship transform SHIPFLOW and seakeeping simulation program are applied to evaluate hydrodynamic performance Finally import calculation result into optimization program then use Particle Swarm optimization (PSO) and Sequential Quadratic Programming (SQP) to conduct the optimization search and achieve ship optimization It can be concluded that combining Particle Swarm optimization (PSO) and Sequential Quadratic Programming (SQP) applied on bow shoulder optimization can increase the calculation efficiency and improve the ship performance Keyword: Particles Swarm Optimization、Sequential Quadratic Programming ship resistance seakeeping optimization
Date of Award2016 Jan 30
Original languageEnglish
SupervisorJeng-Horng Chen (Supervisor)

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