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On the Use of Optimization Techniques for Turbulence Model CalibrationThis article discusses the use of numerical optimization procedures to aid in the calibration of turbulence model coefficients. Such methods would increase the rigor and repeatability of the calibration procedure by requiring clearly defined and objective optimization metrics, and could be used to identify unique combinations of coefficient values for specific flow problems. The approach is applied to the re-calibration of an explicit algebraic Reynolds stress model for the incompressible planar mixing layer using the Nelder-Mead simplex algorithm and a micro-genetic algorithm with minimally imposed constraints. Three composite fitness functions, each based upon the error in the mixing layer growth rate and the normal and shear components of the Reynolds stresses, are investigated. The results demonstrate a significant improvement in the target objectives through the adjustment of three pressure-strain coefficients. Adjustments of additional coefficients provide little further benefit. Issues regarding the effectiveness of the fitness functions and the efficiency of the optimization algorithms are also discussed.
Document ID
20190025296
Acquisition Source
Glenn Research Center
Document Type
Technical Memorandum (TM)
Authors
Yoder, Dennis A.
(NASA Glenn Research Center Cleveland, OH, United States)
Orkwis, Paul D.
(Cincinnati Univ. OH, United States)
Date Acquired
May 23, 2019
Publication Date
May 1, 2019
Subject Category
Fluid Mechanics And Thermodynamics
Report/Patent Number
GRC-E-DAA-TN65018
E-19680
NASA/TM-2019-220163
Funding Number(s)
WBS: 109492.02.03.01.05
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
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