Airfoil Shape Optimisation Using a Multi-Fidelity Surrogate-Assisted Metaheuristic with a New Multi-Objective Infill Sampling Technique
作者机构：Sustainable and Infrastructure Research and Development CenterDepartment of Mechanical EngineeringFaculty of EngineeringKhon Kaen UniversityKhon Kaen40002Thailand Department of Mechanical EngineeringFaculty of EngineeringMahasarakham UniversityMahasarakham44150Thailand Australian Maritime CollegeCollege of Science and EngineeringUniversity of TasmaniaLaunceston7248Australia Department of Mechanical EngineeringSchool of TechnologyGSFC UniversityVadodaraGujarat391750India Department of Mechanical EngineeringBursa Uludag UniversityBursa16059Türkiye
出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)
年 卷 期：2023年第137卷第12期
页 面：2111-2128页
核心收录：
学科分类：0820[工学-石油与天然气工程] 08[工学] 0825[工学-航空宇航科学与技术] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Multi-fidelity modelling differential evolution kriging infill sampling criteria metaheuristics
摘 要：This work presents multi-fidelity multi-objective infill-sampling surrogate-assisted optimization for airfoil shape *** optimization problem is posed to maximize the lift and drag coefficient ratio subject to airfoil geometry *** Fluid Dynamic(CFD)and XFoil tools are used for high and low-fidelity simulations of the airfoil to find the real objective function value.A special multi-objective sub-optimization problem is proposed for multiple points infill sampling exploration to improve the surrogate model *** validate and further assess the proposed methods,a conventional surrogate-assisted optimization method and an infill sampling surrogate-assisted optimization criterion are applied with multi-fidelity simulation,while their numerical performance is *** results obtained show that the proposed technique is the best performer for the demonstrated airfoil shape *** to this study,applying multi-fidelity with multi-objective infill sampling criteria for surrogate-assisted optimization is a powerful design tool.
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