Multiconstrained aerodynamic design of business jet by CFD driven optimization tool

• Published in: Aerospace science and technology Vol. 12; no. 2; pp. 125 - 134
• Main Authors: Peigin, Sergey, Epstein, Boris
• Format: Journal Article
• Language: English
• Published: Paris Elsevier SAS 01.03.2008; Elsevier
• Subjects: Aerodynamic design; Air transportation and traffic; Applied sciences; Computational methods in fluid dynamics; Constrained optimization; Exact sciences and technology; Fluid dynamics; Fundamental areas of phenomenology (including applications); Genetic Algorithms; Ground, air and sea transportation, marine construction; High-performance computing; Navier–Stokes computations; Physics; Aerodynamic design; High-performance computing; Genetic Algorithms; Navier–Stokes computations; Constrained optimization; Geometrical shape; Computational fluid dynamics; Aerodynamics; Modeling; Design; Airplane; Drag reduction; Genetic algorithm; Navier Stokes equation; Numerical simulation; Aircraft; Navier-Stokes computations
• ISSN: 1270-9638; 1626-3219
• DOI: 10.1016/j.ast.2007.03.001

The problem of a multiconstrained aerodynamic design for business jet aircraft is considered. The objective of optimization is to minimize the total drag of an aircraft configuration subject to numerous geometrical and aerodynamical constraints. The optimization tool OPTIMAS is based on Genetic Algorithms search strategy and is driven by full Navier–Stokes computations. The results include a number of single- and multi-point optimizations for a generic business jet. For the considered design conditions, significant drag reduction in on- and off-design flight points has been achieved.