Shape-optimization of 2D hydrofoils using an Isogeometric BEM solver

被引:50
作者
Kostas, K. V. [1 ]
Ginnis, A. I. [2 ]
Politis, C. G. [3 ]
Kaklis, P. D. [4 ,5 ]
机构
[1] Nazarbayev Univ, Dept Mech Engn, Astana, Kazakhstan
[2] Natl Tech Univ Athens, Sch Naval Architecture & Marine Engn, GR-10682 Athens, Greece
[3] Technol Educ Inst Athens, Dept Naval Architecture, Athens, Greece
[4] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Glasgow G1 1XQ, Lanark, Scotland
[5] Inria, EPICE AROMATH, Sophia Antipolis Mediter, France
关键词
Isogeometric analysis; NURBS; Potential flows; Lifting flows; Shape optimization; BOUNDARY-ELEMENT ANALYSIS; ORDER PANEL METHOD; WAVE-RESISTANCE PROBLEM; EXACT GEOMETRY; T-SPLINES; AERODYNAMICS; SINGULARITIES; FORMULATION; EQUATION; NURBS;
D O I
10.1016/j.cad.2016.07.002
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper, an optimization procedure, based on an Isogeometric BEM solver for the potential flow, is developed and used for the shape optimization of hydrofoils. The formulation of the exterior potential-flow problem reduces to a Boundary-Integral Equation (BIE) for the associated velocity potential exploiting the null-pressure jump Kutta condition at the trailing edge. The numerical solution of the BIE is performed by an Isogeometric Boundary-Element Method (BEM) combining a generic B-splines parametric modeler for generating hydrofoil shapes, using a set of eight parameters, the very same basis of the geometric representation for representing the velocity potential and collocation at the Greville abscissas of the knot vector of the hydrofoil's B-splines representation. Furthermore, the optimization environmentis developed based on the geometric parametric modeler for the hydrofoil, the Isogeometric BEM solver and an optimizer employing a controlled elitist genetic algorithm. Multi-objective hydrofoil shape optimization examples are demonstrated with respect to the criteria (i) maximum lift coefficient and (ii) minimum deviation of the hydrofoil area from a reference area. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:79 / 87
页数:9
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