Continuous Adjoint Methods for Turbulent Flows, Applied to Shape and Topology Optimization: Industrial Applications

被引:0
作者
E. M. Papoutsis-Kiachagias
K. C. Giannakoglou
机构
[1] National Technical University of Athens,Parallel CFD and Optimization Unit, School of Mechanical Engineering
来源
Archives of Computational Methods in Engineering | 2016年 / 23卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
This article focuses on the formulation, validation and application of the continuous adjoint method for turbulent flows in aero/hydrodynamic optimization. Though discrete adjoint has been extensively used in the past to compute objective function gradients with respect to (w.r.t.) the design variables under turbulent flow conditions, the development of the continuous adjoint variant for these flows is not widespread in the literature, hindering, to an extend, the computation of exact sensitivity derivatives. The article initially presents a general formulation of the continuous adjoint method for incompressible flows, under the commonly used assumption of “frozen turbulence”. Then, the necessary addenda are presented in order to deal with the differentiation of both low- and high-Reynolds (with wall functions) number turbulence models; the latter requires the introduction of the so-called “adjoint wall functions”. An approach to dealing with distance variations is also presented. The developed methods are initially validated in 2D\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2D$$\end{document} cases and then applied to industrial shape and topology optimization problems, originating from the automotive and hydraulic turbomachinery industries.
引用
收藏
页码:255 / 299
页数:44
相关论文
共 243 条
[1]  
Aage N(2008)Topology optimization of large scale Stokes flow problems Struct Multidiscip Optim 35 175-180
[2]  
Poulsen T(2009)Optimal shape design for fluid flow using topological perturbation technique J Math Anal Appl 356 548-563
[3]  
Gersborg-Hansen A(2001)Analyzing synchronous and asynchronous parallel distributed genetic algorithms Future Gener Comput Syst 17 451-465
[4]  
Sigmund O(2006)A new algorithm for topology optimization using a level-set method J Comput Phys 216 573-588
[5]  
Abdelwahed M(2011)Saturated poroelastic actuators generated by topology optimization Struct Multidiscip Optim 43 693-706
[6]  
Hassine M(1999)Airfoil design on unstructured grids for turbulent flows AIAA J 37 185-191
[7]  
Masmoudi M(1999)Aerodynamic design optimization on unstructured grids with a continuous adjoint formulation Comput Fluids 28 443-480
[8]  
Alba E(2013)Topology optimization of fluid–structure-interaction problems in poroelasticity J Comput Methods Appl Mech Eng 258 55-62
[9]  
Troya J(2009)Aerodynamic optimization using a parallel asynchronous evolutionary algorithm controlled by strongly interacting demes Eng Optim 41 241-257
[10]  
Amstutz S(1984)Global and local deformations of solid primitives SIGGRAPH Comput Graph 18 21-30