Computational Fluid Dynamics: Uncertainty Quantification

Presentations

• A multi-fidelity approach to sensitivity estimation in large eddy simulation

  ORAL

  Nov. 23, 2021, 12:40 PM – Nov. 23, 2021, 12:53 PM

  Presenters

  • Walter Arias-Ramirez

    • University of Maryland, College Park

  Authors

  • Walter Arias-Ramirez

    • University of Maryland, College Park

  • Nikhil Oberoi

    • University of Maryland, College Park

  • Johan Larsson

    • University of Maryland, College Park

  View abstract →

• Grid Tailored Reduced-Order Models for Steady Hypersonic Aerodynamics

  ORAL

  Nov. 23, 2021, 12:53 PM – Nov. 23, 2021, 1:06 PM

  Publication: I have submitted related work to AIAA SCITECH 2022 as well under the title "Model Reduction of Hypersonic Aerodynamics with residual minimization techniques"

  Presenters

  • Patrick J Blonigan

    • Sandia National Laboratories

  Authors

  • Patrick J Blonigan

    • Sandia National Laboratories

  • David Ching

    • Sandia National Laboratories

  • Marco Arienti

    • Sandia National Laboratories

  • Francesco Rizzi

    • NexGen Analytics

  • Jeffrey A Fike

    • Sandia National Laboratories

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• Uncertainty quantification and extreme event analysis for turbulent flows using energy-preserving data-driven closure schemes

  ORAL

  Nov. 23, 2021, 1:06 PM – Nov. 23, 2021, 1:19 PM

  Publication: Alexis-Tzianni Charalampopoulos, Themistoklis Sapsis, Data-augmented low-order models for uncertainty quantification in turbulent dynamical systems, (to be Submitted shortly to Physics of Fluids)

  Presenters

  • Alexis-Tzianni Charalampopoulos

    • Massachusetts Institute of Technology MIT

  Authors

  • Alexis-Tzianni Charalampopoulos

    • Massachusetts Institute of Technology MIT

  • Themistoklis Sapsis

    • Massachusetts Institute of Technology MIT

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• Simulating natural ventilation in buildings using CFD: Importance of thermal boundary conditions

  ORAL

  Nov. 23, 2021, 1:19 PM – Nov. 23, 2021, 1:32 PM

  Presenters

  • Lup Wai Chew

    • Stanford Univ

  Authors

  • Lup Wai Chew

    • Stanford Univ

  • Chen Chen

    • Stanford Univ

  • catherine gorle

    • Stanford Univ
    • Stanford

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• Data-driven Eigenspace Perturbations for RANS Uncertainty Quantification

  ORAL

  Nov. 23, 2021, 1:32 PM – Nov. 23, 2021, 1:45 PM

  Presenters

  • Jan F Heyse

    • Stanford University

  Authors

  • Jan F Heyse

    • Stanford University

  • Nikita Kozak

    • Stanford University

  • Aashwin A Mishra

    • SLAC National Accelerator Laboratory
    • Stanford University

  • Gianluca Iaccarino

    • Stanford Univ

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• Turbulence Model Form Errors in a Statistically Stationary Separation Bubble

  ORAL

  Nov. 23, 2021, 1:45 PM – Nov. 23, 2021, 1:58 PM

  Presenters

  • Kerry S Klemmer

    • Princeton University

  Authors

  • Kerry S Klemmer

    • Princeton University

  • Wen Wu

    • University of Mississippi

  • Michael E Mueller

    • Princeton University

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• Exploring Machine Learning Strategies for RANS Uncertainty Quantification

  ORAL

  Nov. 23, 2021, 1:58 PM – Nov. 23, 2021, 2:11 PM

  Presenters

  • Nikita Kozak

    • Stanford University

  Authors

  • Nikita Kozak

    • Stanford University

  • Jan F Heyse

    • Stanford University

  • Aashwin A Mishra

    • SLAC National Accelerator Laboratory
    • Stanford University

  • Gianluca Iaccarino

    • Stanford University
    • Department of Mechanical Engineering, Stanford University
    • Mechanical Engineering Department, Stanford University, USA

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• Potential flows: a playground for non-local and nonlinear inference problems

  ORAL

  Nov. 23, 2021, 2:11 PM – Nov. 23, 2021, 2:24 PM

  Publication: Le Provost, M., Baptista, R., Marzouk, Y., & Eldredge, J. (2021). A low-rank nonlinear ensemble filter for vortex models of aerodynamic flows. In AIAA Scitech 2021 Forum (p. 1937).

  Presenters

  • Mathieu Le Provost

    • University of California, Los Angeles

  Authors

  • Mathieu Le Provost

    • University of California, Los Angeles

  • Ricardo Baptista

    • Massachusetts Institute of Technology

  • Youssef Marzouk

    • Massachusetts Institute of Technology

  • Jeff D Eldredge

    • University of California, Los Angeles

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• A computationally affordable multi-fidelity approach to parametric studies

  ORAL

  Nov. 23, 2021, 2:24 PM – Nov. 23, 2021, 2:37 PM

  Presenters

  • Nikhil Oberoi

    • University of Maryland, College Park

  Authors

  • Nikhil Oberoi

    • University of Maryland, College Park

  • Walter Arias-Ramirez

    • University of Maryland, College Park

  • Johan Larsson

    • University of Maryland, College Park

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• Multiphase flow applications of non-intrusive reduced-order models with Gaussian process emulation

  ORAL

  Nov. 23, 2021, 2:37 PM – Nov. 23, 2021, 2:50 PM

  Presenters

  • Themistoklis Botsas

    • Alan Turing Institute, UK

  Authors

  • Themistoklis Botsas

    • Alan Turing Institute, UK

  • Lachlan Mason

    • Quaisr Ltd, UK

  • Indranil Pan

    • Alan Turing Institute, UK
    • Quaisr Ltd, UK

  • Omar K Matar

    • Imperial College London
    • Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, UK

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• Hierarchical multifidelity models for the simulation of turbulent flows

  ORAL

  Nov. 23, 2021, 2:50 PM – Nov. 23, 2021, 3:03 PM

  Presenters

  • Philipp Schlatter

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden
    • KTH Royal Institute of Technology
    • SimEx/FLOW, KTH Engineering Mechanics

  Authors

  • Saleh Rezaeiravesh

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden
    • KTH Royal Institute of Technology

  • Timofey Mukha

    • KTH Royal Institute of Technology

  • Ricardo Vinuesa

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden
    • KTH Royal Institute of Technology
    • KTH
    • SimEx/FLOW, KTH Engineering Mechanics

  • Philipp Schlatter

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden
    • KTH Royal Institute of Technology
    • SimEx/FLOW, KTH Engineering Mechanics

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• Reliable quantification of uncertainty in time averages of turbulence simulations

  ORAL

  Nov. 23, 2021, 3:03 PM – Nov. 23, 2021, 3:16 PM

  Presenters

  • Donnatella G Xavier

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden

  Authors

  • Donnatella G Xavier

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden

  • Saleh Rezaeiravesh

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden
    • KTH Royal Institute of Technology

  • Ricardo Vinuesa

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden
    • KTH Royal Institute of Technology
    • KTH
    • SimEx/FLOW, KTH Engineering Mechanics

  • Philipp Schlatter

    • SimEx/FLOW, KTH Engineering Mechanics, Royal Institute of Technology, Stockholm, Sweden
    • KTH Royal Institute of Technology
    • SimEx/FLOW, KTH Engineering Mechanics

  View abstract →