Fluid Storage Structure Optimization Based on Fluid-Solid Coupling Analysis and Response Surface Method

Abstract

The optimal structure parameters of the reservoir structure are investigated in this work. Based on bidirectional fluid-solid coupling analysis, a design of experiments (DOE) using the Latin hypercube sampling (LHS) is employed to build the response surface model of the reservoir structure. Response surface models have been shown to have good fitness. Multi-objective genetic algorithm (MOGA) is presented to search a precisely Pareto-optimal frontier for the problem. Numerical results show that the optimization method based on response surface model and response surface method can effectively overcome the limitations of experience dependence and obtain most efficient solutions for the problem. Through the optimization, the weight of the reservoir structure is reduced by 16.4% while the strength and stiffness of the structure has a little change.