The Research And Application On Multidisciplinary Design Optimization For Wind Farm Support Vessel

Modern ship design is a multidisciplinary, multi-field project, which involving such as floating, resistance, structure, stability, seakeeping and other disciplines, and there are many interaction, mutual influences between the various disciplines. However, traditional ship design process is a serial design pattern. This optimization process cannot be fully considering the contact between different disciplines, and reduces the feasibility of optimization results. It usually could not get the real system optimal solution. Therefore, this article will apply the multidisciplinary design optimization methods in the process of ship design, and using the wind farm support vessel optimize task as the example. It also specify the methods which involved in the process of optimization theory and related processes.As a new type of special ship, the wind farm support vessel’s practical use requires it must have a good resistance and seakeeping performance,and it’s structure shall also meet the requirements of specification.According to the design optimization target and the framework of collaborative optimization algorithm, this article will decomposed this optimization problem into resistance, structure, and seakeeping three sub-disciplines. In the process of sub-discipline analysis, this article also introduces the theory and the calculation software.In the process of discipline analysis, there will be some problem: complex modeling and time-consuming calculation. If directly apply the discipline analysis in wind farm support vessel optimization, it may lead to the optimize cycle is too long. Hence, the approximation model is integrated into the multidisciplinary optimization framework in this article, and using the Latin hypercube design method to complete the selection of sample points. After that, three approximation models that base on three different approximation model methods have been build. Through the evaluation of model precision, the best approximation model has been selected.After the sub disciplines approximate model is established, according to the coordinate optimization algorithm framework to build the optimization problem’s mathematical model. In order to get the optimal solution of the mathematical model, it is necessary to solve the multiobjective optimization problem. In this article, one of solving methods, non-dominated sorting genetic algorithms is introduced, and using this method to the Pareto optimal solutions of this optimization problem. Three Pareto points have been chosen from the optimal solutions, and select the balanced one to be the best plan of the wind farm support vessel optimization. In addition, the optimal solution and the actual theoretical calculation results were compared in this article, and it validated the effectiveness of this solution.This article using multidisciplinary design optimization methods to optimize the wind farm support vessel conceptual design. In addition, it can also gather some experience for further application of the multidisciplinary design optimization methods in the field of ship and ocean engineering.