Uncertainty Quantification

Presentations

• Uncertainty quantification in CFD simulations of natural ventilation to support designing experiments for model validation

  ORAL

  Nov. 25, 2019, 8:00 AM – Nov. 25, 2019, 8:13 AM

  Authors

  • Chen Chen

    • Stanford University

  • Catherine Gorle

    • Stanford University
    • Stanford

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• Uncertainty quantification of the scale determination in steady RANS modeling for turbulence with large-scale structures

  ORAL

  Nov. 25, 2019, 8:13 AM – Nov. 25, 2019, 8:26 AM

  Authors

  • Zengrong Hao

    • Stanford University

  • Catherine Gorle

    • Stanford University
    • Stanford

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• Estimating model-form uncertainty for multi-scale systems

  ORAL

  Nov. 25, 2019, 8:26 AM – Nov. 25, 2019, 8:39 AM

  Authors

  • Jinlong Wu

    • California Institute of Technology

  • Tapio Schneider

    • California Institute of Technology

  • Andrew Stuart

    • California Institute of Technology

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• Uncertainty quantification for RANS simulations of variable density flows

  ORAL

  Nov. 25, 2019, 8:39 AM – Nov. 25, 2019, 8:52 AM

  Authors

  • Aashwin Mishra

    • Center for Turbulence Research, Stanford University

  • Zhu Huang

    • Center for Turbulence Research, Stanford University

  • Jan Heyse

    • Center for Turbulence Research, Stanford University

  • Gianluca Iaccarino

    • Stanford University
    • Center for Turbulence Research, Stanford University

  • Timothy Clarke Wallstrom

    • Los Alamos National Laboratory

  • David Sharp

    • Los Alamos National Laboratory

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• An integrated and efficient framework for embedded Reduced Order Models for multifidelity uncertainty quantification

  ORAL

  Nov. 25, 2019, 8:52 AM – Nov. 25, 2019, 9:05 AM

  Authors

  • Gianluca Geraci

    • Sandia National Laboratories

  • Patrick Blonigan

    • Sandia National Laboratories

  • Francesco Rizzi

    • Sandia National Laboratories

  • Alex Gorodetsky

    • University of Michigan

  • Kevin Carlberg

    • Sandia National Laboratories

  • Michael Eldred

    • Sandia National Laboratories

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• A Multi-Fidelity Approach To Compute The Sensitivity Of A Large Eddy Simulation

  ORAL

  Nov. 25, 2019, 9:05 AM – Nov. 25, 2019, 9:18 AM

  Authors

  • Walter Arias Ramirez

    • University of Maryland, UMD

  • Nikhil Oberoi

    • University of Maryland, UMD

  • Larsson Johan

    • University of Maryland, UMD

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• Implied Models Approach for Turbulence Model Form Physics-Based Uncertainty Quantification

  ORAL

  Nov. 25, 2019, 9:18 AM – Nov. 25, 2019, 9:31 AM

  Authors

  • Kerry S. Klemmer

    • Princeton University

  • Michael E. Mueller

    • Princeton University

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• Quantifying Uncertainties in high-fidelity Scale-Resolving Simulations of Wall Turbulence

  ORAL

  Nov. 25, 2019, 9:31 AM – Nov. 25, 2019, 9:44 AM

  Authors

  • Philipp Schlatter

    • Department of Mechanics, KTH Royal Institute of Technology, Sweden
    • KTH Mechanics
    • Linn\'e FLOW Centre, KTH Mechanics

  • Saleh Rezaeiravesh

    • KTH Mechanics

  • Ricardo Vinuesa

    • Linn\'e Flow Centre, KTH Mechanics
    • KTH Mechanics
    • KTH Royal Institute of Technology

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• Surrogate Modeling for Fluid Flows Using Physics-Constrained, Label-Free Deep Learning

  ORAL

  Nov. 25, 2019, 9:44 AM – Nov. 25, 2019, 9:57 AM

  Authors

  • Jian-Xun Wang

    • University of Notre Dame

  • Luning Sun

    • University of Notre Dame

  • Han Gao

    • University of Notre Dame

  • Shaowu Pan

    • Department of Aerospace Engineering, University of Michigan, Ann Arbor, USA
    • University of Michigan, Ann Arbor

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• Stochastic Simulation of Flow Instabilities in a Rotating Cylinder

  ORAL

  Nov. 25, 2019, 9:57 AM – Nov. 25, 2019, 10:10 AM

  Authors

  • S. Hadi Seyedi

    • Michigan State University

  • Ali Akhavan-Safaei

    • Michigan State University

  • John Foss

    • Michigan State University

  • Mohsen Zayernouri

    • Michigan State University

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• Least-Squares Petrov--Galerkin Reduced-Order Models for Hypersonic Flight Vehicles

  ORAL

  Nov. 25, 2019, 10:10 AM – Nov. 25, 2019, 10:23 AM

  Authors

  • Patrick Blonigan

    • Sandia National Laboratories

  • Francesco Rizzi

    • NexGen Analytics

  • Micah Howard

    • Sandia National Laboratories

  • Jeff Fike

    • Sandia National Laboratories

  • Kevin Carlberg

    • Sandia National Laboratories

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• Dynamically bi-orthonormal formulation for stochastic partial differential equations

  ORAL

  Nov. 25, 2019, 10:23 AM – Nov. 25, 2019, 10:36 AM

  Authors

  • Prerna Patil

    • University of Pittsburgh

  • Hessam Babaee

    • University of Pittsburgh

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