 Development of an efficient aerodynamic shape optimization frameworkJong-Eun Kim, Vinay N. Rao, Roy P. Koomullil, Doug H. Ross, Bharat K. Soni and Alan M. Shih Mathematics and Computers in Simulation (MATCOM), 2009, vol. 79, issue 8, 2373-2384 Abstract: Although many efforts have been made to develop an aerodynamic shape optimization (ASO) framework, iterative grid generation of the complex configuration within the optimization loop has still been a critical barrier. In this paper, an efficient ASO framework is developed by integrating a parametric grid generator, an optimization toolkit, and a flow solver. A geometry-grid template toolkit is developed to address the need to produce a large number of grids in a timely manner for the parametric design study. An object-oriented optimization toolkit that allows a flexible and extensible interfacing with user-specific codes is used. An in-house full Navier–Stokes flow solver is developed and used in the framework. Code integration is achieved using a black-box interface with script files. Two ASO applications and their optimum solutions are presented to demonstrate the success of this framework. Keywords: Aerodynamic shape optimization; Parametric grid generator; Optimization toolkit; Flow analysis; Surrogate-based optimization (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:79:y:2009:i:8:p:2373-2384 DOI: 10.1016/j.matcom.2009.01.012 Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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