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Improving Discrete-Sensitivity-Based Approach for Practical Design OptimizationIn developing the automated methodologies for simulation-based optimal shape designs, their accuracy, efficiency and practicality are the defining factors to their success. To that end, four recent improvements to the building blocks of such a methodology, intended for more practical design optimization, have been reported. First, in addition to a polynomial-based parameterization, a partial differential equation (PDE) based parameterization was shown to be a practical tool for a number of reasons. Second, an alternative has been incorporated to one of the tedious phases of developing such a methodology, namely, the automatic differentiation of the computer code for the flow analysis in order to generate the sensitivities. Third, by extending the methodology for the thin-layer Navier-Stokes (TLNS) based flow simulations, the more accurate flow physics was made available. However, the computer storage requirement for a shape optimization of a practical configuration with the -fidelity simulations (TLNS and dense-grid based simulations), required substantial computational resources. Therefore, the final improvement reported herein responded to this point by including the alternating-direct-implicit (ADI) based system solver as an alternative to the preconditioned biconjugate (PbCG) and other direct solvers.
Document ID
19970026363
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Baysal, Oktay
(Old Dominion Univ. Norfolk, VA United States)
Cordero, Yvette
(Old Dominion Univ. Norfolk, VA United States)
Pandya, Mohagna J.
(Old Dominion Univ. Norfolk, VA United States)
Date Acquired
August 17, 2013
Publication Date
May 9, 1997
Subject Category
Numerical Analysis
Meeting Information
Meeting: Fluid Engineering
Location: Tokyo
Country: Japan
Start Date: July 13, 1997
End Date: July 16, 1997
Sponsors: Japan Society of Mechanical Engineers
Accession Number
97N25651
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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