Tuesday, November 22, 2016
8:00AM - 8:13AM
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M29.00001: Structural Uncertainties in RANS Models: Reynolds Stress Transport contra Eddy Viscosity Frameworks
Aashwin Mishra, Wouter Edeling, Gianluca Iaccarino
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Tuesday, November 22, 2016
8:13AM - 8:26AM
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M29.00002: Error estimation and adaptivity for transport problems with uncertain parameters
Onkar Sahni, Jason Li, Assad Oberai
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Tuesday, November 22, 2016
8:26AM - 8:39AM
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M29.00003: The Contribution of Statistical Errors in DNS Data Quantified with RANS-DNS Simulations
Svetlana V. Poroseva, Elbert Jeyapaul, Scott M. Murman, Juan D. Colmenares F.
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Tuesday, November 22, 2016
8:39AM - 8:52AM
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M29.00004: Uncertainty Quantification for atmospheric flows: natural terrain and urban area applications
Clara Garc\'Ia-S\'anchez, Catherine Gorl\'e
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Tuesday, November 22, 2016
8:52AM - 9:05AM
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M29.00005: Stochastic optimization algorithm for inverse modeling of air pollution
Kyongmin Yeo, Youngdeok Hwang, Xiao Liu, Jayant Kalagnanam
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Tuesday, November 22, 2016
9:05AM - 9:18AM
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M29.00006: Assessment of accuracy of CFD simulations through quantification of a numerical dissipation rate
J.A. Domaradzki, G. Sun, X. Xiang, K.K. Chen
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Tuesday, November 22, 2016
9:18AM - 9:31AM
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M29.00007: Predicting night-time natural ventilation in Stanford's Y2E2 building using an integral model in combination with a CFD model
Giacomo Lamberti, Catherine Gorle'
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Tuesday, November 22, 2016
9:31AM - 9:44AM
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M29.00008: Quantifying the Discrepancy in RANS Modeling of Reynolds Stress Eigenvectors System
Jinlong Wu, Roney Thompson, Jianxun Wang, Luiz Sampaio, Heng Xiao
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Tuesday, November 22, 2016
9:44AM - 9:57AM
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M29.00009: Modeling of stochastic dynamics of time-dependent flows under high-dimensional random forcing
Hessam Babaee, George Karniadakis
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Tuesday, November 22, 2016
9:57AM - 10:10AM
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M29.00010: Parameter Estimation for a Turbulent Buoyant Jet Using Approximate Bayesian Computation
Jason D. Christopher, Nicholas T. Wimer, Torrey R. S. Hayden, Caelan Lapointe, Ian Grooms, Gregory B. Rieker, Peter E. Hamlington
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