Structural Optimization of Jacket Platform Based on Genetic Algorithm

4th International Conference on Energy Equipment Science and Engineering

Ni, Lingying^1 ; Ge, Yongwei^1

College of Petroleum Engineering, China University of Petroleum (East China), Qingdao

266580, China^1

关键词: Constrained conditions;    Fitness functions;    High-accuracy;    Investment benefit;    Jacket platforms;    Offshore oil;    Penalty function;    Structure redundancy;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/242/3/032048/pdf
DOI  :  10.1088/1755-1315/242/3/032048

来源: IOP

【 摘 要 】

The jacket platform is a basic facility for offshore oil and gas resources and wind energy resources, the structure of which is often redundant. In order to get better investment benefits, the structure of the jacket platform is needed to be optimized and the structure redundancy is reduced while meets the strength, the stiffness, and the stability. The genetic algorithm has excellent performance in structural optimization, and MATLAB and ANSYS are used to optimize the jacket platform based on genetic algorithm. Penalty function is applied in fitness function of genetic algorithm that transforms the constrained condition into unconstrained condition. After calculation and verification, the jacket platform still meets the constrained condition, approaching the optimization limit. The overall volume of the jacket platform is reduced by 38.8% after optimization and the genetic algorithm is feasible in optimizing the jacket platform while it has high accuracy.