Quantification of structural uncertainties in RANS turbulence models
Name
768429915-MIT.pdf
Description
Full printable version
Size
7.37 MB
Format
Adobe PDF
Checksum (MD5)
0c062cc35e859a661610db3fbcd66f2a
Author(s)
Dow, Eric Alexander
Advisor(s)
Qiqi Wang.
Alternative Title
Quantification of structural uncertainties in Reynolds averaged Navier-Stokes turbulence models
Date Issued
2011
Publisher
Massachusetts Institute of Technology
Abstract
This thesis presents an approach for building a statistical model for the structural uncertainties in Reynolds averaged Navier-Stokes (RANS) turbulence models. This approach solves an inference problem by comparing the results of RANS calculations to direct numerical simulation. The adjoint method is used to efficiently solve an inverse problem to determine the RANS turbulent viscosity field that most accurately reproduces the mean flow field computed by direct numerical simulation. The discrepancy between the inferred turbulent viscosity and the turbulent viscosity predicted by RANS is modeled as a Gaussian random field. Finally, the uncertainty in the turbulent viscosity field is propagated to the quantities of interest. Results are first presented for turbulent flow through a straight channel. To model the uncertainty in more complex flows, the procedure is repeated for a collection of flows through randomly generated geometries.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 69-70).
Subjects
Aeronautics and Astronautics.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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