Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms

✍ Scribed by Raino A.E. Mäkinen; Jacques Periaux; Jari Toivanen

• Publisher: John Wiley and Sons
• Year: 1999
• Tongue: English
• Weight: 134 KB
• Volume: 30
• Category: Article
• ISSN: 0271-2091
• DOI: 10.1002/(sici)1097-0363(19990530)30:2<149::aid-fld829>3.0.co;2-b

✦ Synopsis

A multiobjective multidisciplinary design optimization (MDO) of two-dimensional airfoil is presented. In this paper, an approximation for the Pareto set of optimal solutions is obtained by using a genetic algorithm (GA). The first objective function is the drag coefficient. As a constraint it is required that the lift coefficient is above a given value. The CFD analysis solver is based on the finite volume discretization of the inviscid Euler equations. The second objective function is equivalent to the integral of the transverse magnetic radar cross section (RCS) over a given sector. The computational electromagnetics (CEM) wave field analysis requires the solution of a two-dimensional Helmholtz equation which is obtained using a fictitious domain method. Numerical experiments illustrate the above evolutionary methodology on an IBM SP2 parallel computer.