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TECHNICAL PAPERS

Approach for Input Uncertainty Propagation and Robust Design in CFD Using Sensitivity Derivatives

[+] Author and Article Information
Michele M. Putko, Arthur C. Taylor

Department of Mechanical Engineering, Old Dominion University, Norfolk, VA 23529

Perry A. Newman, Lawrence L. Green

NASA Langley Research Center, Hampton, VA 23681

J. Fluids Eng 124(1), 60-69 (Nov 12, 2001) (10 pages) doi:10.1115/1.1446068 History: Received July 20, 2001; Revised November 12, 2001
Copyright © 2002 by ASME
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References

Figures

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Comparison of function approximations versus CFD solution, input variable b=b̄
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Comparison of function approximations versus CFD solution, input variable a=ā
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Comparison of function approximations versus CFD solution, input variable Pb=P̄b
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Comparison of function approximations versus CFD solution, input variable Minf=M̄inf
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Comparison of statistical moment approximations with Monte Carlo simulation results, geometric examples
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Comparison of statistical moment approximations with Monte Carlo simulation results, flow parameter examples
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Probability density function for M(a,b) for σab=0.08
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Probability density function for M (Minf,Pb) for σMinfPb=0.02
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Probability density function for M (Minf,Pb) for σMinfPb=0.06
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Optimization results in design space (a,b), Pk fixed at P1
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Nozzle area distributions, Pk fixed at P1
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Optimization results in design space (a,b), σ fixed at 0.01
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Optimization results in design space (Minf,Pb), Pk fixed at P1
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Optimization results in design space (Minf,Pb), σ fixed at 0.01

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