Turbulence: Modeling I
ORAL · H21 ·
Presentations
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Synthesizing non-Gaussian inhomogeneous turbulence using optimization techniques
ORAL
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Authors
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Yi Li
- University of Sheffield
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Wall-resolved adaptive simulation with spatially-anisotropic wavelet-based refinement
ORAL
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Authors
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Giuliano De Stefano
- University of Naples (ITALY)
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Eric Brown-Dymkoski
- University of Colorado Boulder
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Oleg V. Vasilyev
- Univ of Colorado - Boulder
- University of Colorado Boulder
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Machine Learning Models for Detection of Regions of High Model Form Uncertainty in RANS
ORAL
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Authors
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Julia Ling
- Sandia National Laboratories
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Jeremy Templeton
- Sandia National Laboratories
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Towards Sparse-Direct Interaction Perturbation (SDIP) for Variable-Density Flow
ORAL
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Authors
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David Petty
- University of Illinois Urbana Champaign
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Carlos Pantano
- University of Illinois at Urbana-Champaign
- Mechanical Science and Engineering Department, University of Illinois at Urbana Champaign
- Associate Professor, Department of Mechanical Science and Engineering, University of Illinois at Urbana-Champaign
- University of Illinois Urbana Champaign
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Spectral models of strongly inhomogeneous turbulence
ORAL
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Authors
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Andrew Bragg
- Los Alamos Natl Lab
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Susan Kurien
- Los Alamos National Laboratory
- New Mexico Consortium and Los Alamos National Laboratory
- Los Alamos Natl Lab
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Timothy Clark
- University of New Mexico
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Asymptotic stability of spectral-based PDF modeling for homogeneous turbulent flows
ORAL
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Authors
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Alejandro Campos
- Stanford University
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Karthik Duraisamy
- University of Michigan, Ann Arbor
- Univ of Michigan - Ann Arbor
- University of Michigan Ann Arbor
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Gianluca Iaccarino
- Stanford University, Mechanical Engineering
- Stanford University
- Mechanical Engineering - Stanford University
- Stanford Univ
- Center for Turbulence Research, Stanford University
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Adaptive variable-fidelity wavelet-based eddy-capturing approaches for compressible turbulence
ORAL
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Authors
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Eric Brown-Dymkoski
- Univ of Colorado - Boulder
- University of Colorado Boulder
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Oleg V. Vasilyev
- Univ of Colorado - Boulder
- University of Colorado Boulder
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Full field inversion: A tool to diagnose and improve closure models
ORAL
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Authors
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Anand Pratap Singh
- Univ of Michigan - Ann Arbor
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Karthik Duraisamy
- University of Michigan, Ann Arbor
- Univ of Michigan - Ann Arbor
- University of Michigan Ann Arbor
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Closure modeling using field inversion and machine learning
ORAL
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Authors
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Karthik Duraisamy
- University of Michigan, Ann Arbor
- Univ of Michigan - Ann Arbor
- University of Michigan Ann Arbor
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Subgrid-scale modeling for flows with strong density variations
ORAL
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Authors
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Sidharth GS
- University of Minnesota
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Graham Candler
- University of Minnesota
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