Research On Optimization Method Of Tripod Pile Foundation Structure Of Offshore Wind Turbine Based On Chaos Cloud GA And ANSYS

With the aggravation of environmental pollution and the increasingly prominent problem of fossil energy exhaustion,wind energy,as a type of green and clean renewable energy,has been widely concerned.Compared with onshore wind power,offshore wind power is developing rapidly in China due to its advantages of abundant resources and land saving,but the high cost remains the key factor restricting its development.Since the design of wind turbine foundation structure is often too conservative,the construction cost is greatly increased.Therefore,it is of great engineering significance to carry out numerical simulation and optimization design of wind turbine tripod pile infrastructure to reduce the cost of offshore wind power.Based on the "Innovation Project of Offshore Energy Island",aming at the optimization problem of tripod pile foundation structure of offshore wind turbine,in view of the disadvantages of ANSYS optimization method and basic genetic algorithm in low optimization efficiency and ease in leading to local optimal,a serise of work was carried out:By introducing chaos theory and cloud model concepts,CCGA optimization algorithm was proposed;MATLAB was applied to establish the optimization method of embedded ANSYS intelligent structure based on CCGA;the research on the optimization of offshore wind turbine tripod pile foundation structure based on CCGA was carried out;compared with ANSYS optimization method and other intelligent optimization algorithms,numerical simulation results were used to verify the feasibility and superiority of the proposed CCGA-based optimization method for wind turbine tripod pile infrastructure.The specific research contents are as follows:(1)Based on the wind turbine load and environmental load combined pile-soil interaction model,a finite element model for the tripod foundation structure of offshore wind turbines was established.By carrying out the structural stress and displacement data obtained from the static analysis of the tripod foundations of the offshore wind turbine under various working conditions,the most dangerous working conditions were obtained,which provides a basis for the optimal design of the tripod pile foundation structures of the offshore wind turbine.(2)Based on the static analysis results of the tripod pile foundations of offshore wind turbines,the standard genetic algorithm was applied to the structural optimization analysis.Aiming at the problem that SGA is easy to fall into local optimality and poor local search ability,considering the randomness of chaotic mapping and the stability tendency of cloud model,a chaos cloud genetic algorithm based on Cat mapping and a local search mechanism based on cloud model were designed.(3)The chaos cloud genetic algorithm was implemented based on MATLAB,and structural analysis was completed by ANSYS.Through the data interaction and mutual call between MATLAB and ANSYS,when the intelligent optimization algorithm was used to analyze tripod pile foundations of offshore wind turbines,the problem of difficulty in writing numerical simulation parameters and extracting the results was solved to form an embedded ANSYS structural optimization method based on CCGA.(4)Combined with the structural optimization theory,a tripod pile foundation structure optimization model for offshore wind turbines was established,and the optimal design of the tripod pile foundation structure for offshore wind turbines based on CCGA was completed.Bydesigning optimization analysis based on ANSYS optimization method and various intelligent optimization algorithms,comparing optimization performance,the feasibility and superiority of the tripod pile foundation structure optimization method for offshore wind turbines based on the CCGA algorithm proposed in this paper were verified.