A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
A novel implementation of computational aerodynamic shape optimisation using Modified Cuckoo Search
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DOI：
10.1016/j.apm.2015.11.023
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发表时间：
2016
影响因子：
5
通讯作者：
D. Naumann;B. Evans;S. Walton;O. Hassan
中科院分区：
文献类型：
--
作者：
D. Naumann;B. Evans;S. Walton;O. Hassan
本文概述了一种新的计算气动设计优化算法，使用一种新的方法参数化的计算网格使用“控制节点”。通过Delaunay图映射技术将形状边界移动以及网格移动耦合到用户定义的控制节点的移动。采用改进的布谷鸟搜索算法，在控制节点位移允许范围内定义的规定设计空间内进行优化。有限体积可压缩纳维尔-斯托克斯解算器用于空气动力学建模，以预测空气动力学设计的“适合度”。由此产生的耦合算法应用于一系列的测试情况下，在两个维度，包括翼型升阻比优化进气道优化亚音速，跨音速和超音速流动条件下。离散（基于网格）的优化方法被证明是有效的，在其普遍适用性和直观性。
This paper outlines a new computational aerodynamic design optimisation algorithm using a novel method of parameterising a computational mesh using ‘control nodes’. The shape boundary movement as well as the mesh movement is coupled to the movement of user–defined control nodes via a Delaunay Graph Mapping technique. A Modified Cuckoo Search algorithm is employed for optimisation within the prescribed design space defined by the allowed range of control node displacement. A finite volume compressible Navier–Stokes solver is used for aerodynamic modelling to predict aerodynamic design ‘fitness’. The resulting coupled algorithm is applied to a range of test cases in two dimensions including aerofoil lift–drag ratio optimisation intake duct optimisation under subsonic, transonic and supersonic flow conditions. The discrete (mesh–based) optimisation approach presented is demonstrated to be effective in terms of its generalised applicability and intuitiveness.