APS Logo

Computational Fluid Dynamics: Uncertainty Quantification

ORAL · T02 · ID: 22865

Presentations

  • Grid Tailored Reduced-Order Models for Steady Hypersonic Aerodynamics

    ORAL

    –

    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

    View abstract →

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

    ORAL

    –

    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

    View abstract →

  • Exploring Machine Learning Strategies for RANS Uncertainty Quantification

    ORAL

    –

    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

    View abstract →

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

    ORAL

    –

    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

    View abstract →

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

    ORAL

    –

    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

    View abstract →

  • Hierarchical multifidelity models for the simulation of turbulent flows

    ORAL

    –

    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

    View abstract →

  • Reliable quantification of uncertainty in time averages of turbulence simulations

    ORAL

    –

    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 →