Computational Fluid Dynamics: Reduced-Order and Multi-Fidelity Modeling
ORAL · A31 ·
Presentations
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Multi-Fidelity Uncertainty Propagation for Cardiovascular Modeling
ORAL
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Authors
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Casey Fleeter
- Stanford University
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Gianluca Geraci
- Sandia National Laboratories
- Sandia National Labs
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Daniele Schiavazzi
- University of Notre Dame
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Andrew Kahn
- University of California, San Diego
- UCSD Medical Center
- UCSD
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Alison Marsden
- Stanford University
- Bioengineering, Pediatric Cardiology - Stanford Univ
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Multi-fidelity uncertainty quantification in large-scale predictive simulations of turbulent flow
ORAL
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Authors
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Gianluca Geraci
- Sandia National Laboratories
- Sandia National Labs
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Lluis Jofre
- Stanford University
- Center for Turbulence Research, Stanford University
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Gianluca Iaccarino
- Stanford University
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A Multi-Fidelity Surrogate Model for the Equation of State for Mixtures of Real Gases
ORAL
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Authors
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Frederick Ouellet
- CCMT - Univ. Florida
- Center for Compressible Multiphase Turbulence, University of Florida
- Univ of Florida - Gainesville
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Chanyoung Park
- Center for Compressible Multiphase Turbulence, University of Florida
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Rahul Koneru
- Center for Compressible Multiphase Turbulence, University of Florida
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S. Balachandar
- Center for Compressible Multiphase Turbulence, University of Florida
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Bertrand Rollin
- Embry-Riddle Aeronautical University
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Basis Reduction for Uncertainty Quantification -- A Bi-fidelity Approach
ORAL
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Authors
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Felix Newberry
- University of Colorado, Boulder
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Michaela Farr
- University of Colorado, Boulder
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Alireza Doostan
- University of Colorado, Boulder
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Unbiased multi-fidelity estimate of failure probability of a free plane jet
ORAL
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Authors
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Alexandre Marques
- Massachusetts Inst of Tech-MIT
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Boris Kramer
- Massachusetts Inst of Tech-MIT
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Karen Willcox
- Massachusetts Inst of Tech-MIT
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Benjamin Peherstorfer
- University of Wisconsin-Madison
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Low Dimensional Study of a Supersonic Multi-Stream Jet Flow
ORAL
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Authors
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Andrew Tenney
- Syracuse University
- Syracuse Univ
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Matthew Berry
- Syracuse University
- Syracuse Univ
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Halley Aycock-Rizzo
- Syracuse University
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Mark Glauser
- Syracuse University
- Syracuse Univ
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Jacques Lewalle
- Syracuse University
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A Data-Driven Low-Rank Approximation of Time-Dependent Stochastic Flows
ORAL
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Authors
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Hessam Babaee
- University of Pittsburgh
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Creating Turbulent Flow Realizations with Generative Adversarial Networks
ORAL
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Authors
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Ryan King
- National Renewable Energy Laboratory
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Peter Graf
- National Renewable Energy Laboratory
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Michael Chertkov
- Los Alamos National Laboratory
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