Computational Fluid Dynamics: LES, DNS, Hybrid RANS/LES I
ORAL · H28 · ID: 22877
Presentations
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Subgrid scale modeling of cavitation inception
ORAL
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Presenters
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Mehedi Hasan Bappy
IIHR-Hydroscience & Engineering, The University of Iowa
Authors
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Mehedi Hasan Bappy
IIHR-Hydroscience & Engineering, The University of Iowa
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Pablo Carrica
IIHR-Hydroscience & Engineering, The University of Iowa
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Jiajia Li
IIHR-Hydroscience & Engineering, The University of Iowa
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Juan E Martin
University of Iowa, IIHR-Hydroscience & Engineering, The University of Iowa
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Alberto Vela-Martin
University of Bremen
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Livia Freire
University of Sao Paulo
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Gustavo Buscaglia
University of Sao Paulo
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Eigenspace perturbations for subgrid modeling in large-eddy simulations.
ORAL
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Presenters
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Mark Benjamin
Department of Mechanical Engineering, Stanford University
Authors
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Mark Benjamin
Department of Mechanical Engineering, Stanford University
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Stefan Domino
Computational Thermal and Fluid Mechanics Department, Sandia National Laboratories, and Institute for Computational and Mathematical Engineering, Stanford University
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Gianluca Iaccarino
Stanford University, Department of Mechanical Engineering, Stanford University, Mechanical Engineering Department, Stanford University, USA
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An Enriched Spectral Element Wall-Model for Wall-Modeled Large-Eddy Simulations
ORAL
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Presenters
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Steven R Brill
Stanford University
Authors
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Steven R Brill
Stanford University
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Pinaki Pal
Argonne National Laboratory
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Muhsin Ameen
Argonne National Laboratory
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Chao Xu
Argonne National Laboratory
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Matthias Ihme
Stanford Univ, Stanford University
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Physics-Guided Neural Networks for Reconstructing High-resolution Turbulent Flows
ORAL
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Presenters
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Shengyu Chen
University of Pittsburgh
Authors
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Shengyu Chen
University of Pittsburgh
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Shervin Sammak
University of Pittsburgh
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Peyman Givi
University of Pittsburgh
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Joseph Yurko
University of Pittsburgh
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Xiaowei Jia
University of Pittsburgh
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Leveraging LES data to investigate pressure peaks on high-rise buildings in neutral atmospheric boundary layers
ORAL
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Publication: Planned paper by the title "Investigation of the peak wind loading on a high-rise building in atmospheric boundary layer by large-eddy simulations"
Presenters
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Mattia Fabrizio Ciarlatani
Stanford University
Authors
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Mattia Fabrizio Ciarlatani
Stanford University
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Zhu Hwang
Department of Civil Engineering, Stanford University
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David Philips
Cascade Technologies
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catherine gorle
Stanford Univ, Stanford
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LES Scale Enrichment in spatially-decaying isotropic turbulence
ORAL
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Presenters
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Ryan Hass
Stanford University
Authors
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Ryan Hass
Stanford University
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Aditya S Ghate
Stanford Univ, Stanford University
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Sanjiva K Lele
Stanford Univ, Stanford University
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Using Large-Eddy Simulation to Study Water Tunnel Confinement Effects for a Marine Propeller in Crashback
ORAL
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Presenters
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Thomas Kroll
University of Minnesota
Authors
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Thomas Kroll
University of Minnesota
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Krishnan Mahesh
University of Minnesota
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Optimizing speed and accuracy of the Partially Averaged Navier-Stokes Method
ORAL
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Presenters
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Branislav Basara
AVL List GmbH
Authors
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Branislav Basara
AVL List GmbH
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Zoran Zunic
AVL List GmbH
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Zoran Pavlovic
AVL List GmbH
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Temporal Large-Eddy Simulation based on Direct Deconvolution
ORAL
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Publication: D. Oberle , C. D. Pruett, and P. Jenny, "Temporal large-eddy simulation based on direct<br>deconvolution," Phys. Fluids 32, 065112 (2020); https://doi.org/10.1063/5.0006637
Presenters
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Daniel Oberle
ETH Zurich
Authors
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Daniel Oberle
ETH Zurich
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Charles D Pruett
Department of Mathematics and Statistics, James Madison University (Retired), Harrisonburg, Virginia 22807, USA
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Patrick Jenny
ETH Zurich
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Evolution of Coaxial Synthetic Jet with Different Velocity Ratios
ORAL
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Presenters
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Samarendra Panda
Mr.
Authors
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Samarendra Panda
Mr.
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Trushar B Gohil
Dr.
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Venugopal Arumuru
Dr.
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