Solution Remapping Method with Lower Bound Preservation for Navier-Stokes Equations in Aerodynamic Shape Optimization
作者机构:LMIB and School of Mathematical SciencesBeihang UniversityBeijing 100191China Computational Aerodynamic Research InstituteChina Aerodynamics Research and Development CenterMianyang 621000China
出 版 物:《Communications in Computational Physics》 (计算物理通讯(英文))
年 卷 期:2023年第33卷第5期
页 面:1381-1408页
核心收录:
学科分类:07[理学] 070104[理学-应用数学] 0701[理学-数学]
基 金:This project is supported by the National Natural Science Foundation of China(No.12001031)
主 题:Aerodynamic shape optimization solution remapping technique direct discontinuous Galerkin method lower bound preservation Navier-Stokes equations
摘 要:It is found that the solution remapping technique proposed in[***.,2020,13(4)]and[***.,2021,87(3):1-26]does not work out for the Navier-Stokes equations with a high Reynolds *** shape deformations usually reach several boundary layer mesh sizes for viscous flow,which far exceed one-layer mesh that the original method can *** direct application to Navier-Stokes equations can result in the unphysical pressures in remapped solutions,even though the conservative variables are within the reasonable *** this work,a new solution remapping technique with lower bound preservation is proposed to construct initial values for the new shapes,and the global minimum density and pressure of the current shape which serve as lower bounds of the corresponding variables are used to constrain the remapped *** solution distribution provided by the present method is proven to be acceptable as an initial value for the new *** numerical experiments show that the present technique can substantially accelerate the flow convergence for large deformation problemswith 70%-80%CPU time reduction in the viscous airfoil drag minimization.