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Airfoil Shape Optimisation Using a multi-fidelity Surrogate-Assisted Metaheuristic with a New multi-Objective Infill Sampling Technique

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2111-2128页

作者： Cho Mar Aye Kittinan Wansaseub Sumit Kumar Ghanshyam G.Tejani Sujin Bureerat Ali R.Yildiz Nantiwat Pholdee Sustainable and Infrastructure Research and Development Center Department of Mechanical EngineeringFaculty of EngineeringKhon Kaen UniversityKhon Kaen40002Thailand Department of Mechanical Engineering Faculty of EngineeringMahasarakham UniversityMahasarakham44150Thailand Australian Maritime College College of Science and EngineeringUniversity of TasmaniaLaunceston7248Australia Department of Mechanical Engineering School of TechnologyGSFC UniversityVadodaraGujarat391750India Department of Mechanical Engineering Bursa Uludag UniversityBursa16059Türkiye

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.

关键词： multi-fidelity modelling differential evolution kriging infill sampling criteria metaheuristics

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