Bulletin of the American Physical Society

73rd Annual Meeting of the APS Division of Fluid Dynamics

Volume 65, Number 13

Sunday–Tuesday, November 22–24, 2020; Virtual, CT (Chicago time)

Session Index

Session R10: Computational Fluid Dynamics: Uncertainty Quantification (5:00pm - 5:45pm CST)

Interactive On Demand

Show Abstracts

Monday, November 23, 2020

		R10.00001: Two-Stage Ensemble Kalman Filter Approach to Estimate Fracture Parameters in Sub-Surface Formations Michael Liem, Patrick Jenny Preview Abstract
		R10.00002: Physics-constrained multi-fidelity convolutional neural networks for surrogate fluid modeling Luning Sun, Jian-Xun Wang Preview Abstract
		R10.00003: Uncertainty Quantification in Complex Flows for Aeronautical {\&} Mechanical Engineering Applications Francisco-Javier Granados-Ortiz, Joaquin Ortega-Casanova Preview Abstract
		R10.00004: Influence of Reynolds Number and Flow Configuration on Turbulence Model Form Errors Kerry S. Klemmer, Michael E. Mueller Preview Abstract
		R10.00005: Quantifying the uncertainties of density self-correlation in RANS simulations for variable density flows Jan Felix Heyse, Zhu Huang, Aashwin Mishra, Gianluca Iaccarino, Timothy Clarke Wallstrom, David Sharp Preview Abstract
		R10.00006: Epistemic uncertainty quantification of Reynolds stress models Xinyi Huang, Naman Jain, Robert Kunz, Xiang Yang Preview Abstract
		R10.00007: Evaluation of a polynomial-chaos based multi-fidelity simulation framework for predicting wind pressure loads on buildings. Themistoklis Vargiemezis, Catherine Gorle Preview Abstract
		R10.00008: Machine-learning quasilinear Gaussian moment closures for uncertainty quantification of turbulent fluid flows Alexis-Tzianni Charalampopoulos, Themistoklis Sapsis Preview Abstract
		R10.00009: Exploring turbulence model uncertainties in turbomachinery applications Marcel Matha, Christian Morsbach Preview Abstract
		R10.00010: Full-scale validation of natural ventilation models using uncertainty quantification Chen Chen, Catherine Gorlé Preview Abstract
		R10.00011: Field Sensitivity Analysis for Wind Energy Modeling Julian Quick, Ryan King, Marc Henry de Frahan, Shreyas Ananthan, Michael Sprague, Peter Hamlington Preview Abstract

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Bulletin of the American Physical Society

73rd Annual Meeting of the APS Division of Fluid Dynamics

Volume 65, Number 13

Sunday–Tuesday, November 22–24, 2020; Virtual, CT (Chicago time)

Session Index

Session R10: Computational Fluid Dynamics: Uncertainty Quantification (5:00pm - 5:45pm CST)

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