Masters Theses
Keywords and Phrases
Non-intrusive polynomial chaos; Second-order probability
Abstract
"A mixed aleatory (inherent) and epistemic (model-form) uncertainty quantification (UQ) analysis method was applied to a computational fluid dynamics (CFD) modeling problem of synthetic jet actuators. A test case, (Case 3, flow over a hump model with synthetic jet actuator control) from the CFDVAL2004 workshop was selected to apply the Second-Order Probability framework implemented with a stochastic response surface obtained from Quadrature-Based Non-Intrusive Polynomial Chaos (NIPC). Three uncertainty sources were considered: (1) epistemic uncertainty in turbulence model, (2) aleatory uncertainty in free stream velocity and (3) aleatory uncertainty in actuation frequency. Uncertainties in both long-time averaged and phase averaged quantities were quantified using a fourth order polynomial chaos expansion (PCE). Results were compared with experimental data available. A global sensitivity analysis with Sobol indices was utilized to rank the importance of each uncertainty source to the overall output uncertainty. The results indicated that for the long-time averaged separation bubble size, the uncertainty in turbulence model had a dominant contribution, which was also observed in the long-time averaged skin friction coefficients at three selected locations. For long-time averaged pressure coefficient, the contributions from free stream velocity and turbulence model are depending on the locations. The mixed UQ results for phase averaged x-velocity distributions at three selected locations showed that the 95% confidence intervals (CI) could generally envelope the experimental data. The Sobol indices showed that near the wall, the turbulence model had a main influence on the x-velocity, while approaching the main stream, the uncertainty in free stream velocity became a larger contributor. The uncertainty in frequency was found to have a very small contribution to both long-time averaged and phase averaged quantities with the range of variance considered"--Abstract, page iii.
Advisor(s)
Hosder, Serhat
Committee Member(s)
Riggins, David W.
Du, Xiaoping
Department(s)
Mechanical and Aerospace Engineering
Degree Name
M.S. in Aerospace Engineering
Sponsor(s)
Missouri Research Board
Publisher
Missouri University of Science and Technology
Publication Date
Fall 2011
Pagination
xii, 125 pages
Note about bibliography
Includes bibliographical references (pages 56-62).
Rights
© 2011 Daoru Han, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Subject Headings
Actuators -- TestingAnalysis of varianceComputational fluid dynamicsJets -- Fluid dynamics
Thesis Number
T 9926
Print OCLC #
794679394
Electronic OCLC #
755526579
Recommended Citation
Han, Daoru Frank, "Inherent and model-form uncertainty analysis for CFD simulation of synthetic jet actuators" (2011). Masters Theses. 6736.
https://scholarsmine.mst.edu/masters_theses/6736