Turbulence Modeling II
ORAL · X39 · ID: 2666835
Presentations
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Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence
ORAL
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Presenters
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Omkar Shende
Stanford University
Authors
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Omkar Shende
Stanford University
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Ty Homan
Stanford University
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Ali Mani
Stanford University
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Assessment of confinement effects on decay terms of Reynolds-stress transport equations
ORAL
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Presenters
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Makrand A Khanwale
Stanford University, Center for Turbulence Research
Authors
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Makrand A Khanwale
Stanford University, Center for Turbulence Research
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Ali Mani
Stanford University
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Assessment of anisotropy in the decay term of the dissipation equation for Reynolds stress transport models
ORAL
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Publication: T. Homan, O. Shende, A. Mani, Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence, Phys. Rev. Fluids, (2024).
C. Dhandapani, K. J. Rah, and G. Blanquart, Effective forcing for direct numerical simulations of the shear layer of
469 turbulent free shear flows, Phys. Rev. Fluids 4, 084606 (2019).Presenters
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Rozie Zangeneh
Stanford University
Authors
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Rozie Zangeneh
Stanford University
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Omkar Shende
Stanford University
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Ali Mani
Stanford University
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Non-linear structure-based modeling of the rapid pressure strain rate correlation using machine learning
ORAL
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Presenters
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Sahil Kommalapati
University of Texas at Austin
Authors
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Sahil Kommalapati
University of Texas at Austin
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Sigfried W Haering
University of Texas at Austin
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Robert D Moser
University of Texas at Austin
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Deep neural network framework for modeling pressure hessian tensor in incompressible turbulent flows
ORAL
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Publication: An augmented invariants-based model for the pressure Hessian tensor using physics-assisted neural networks, Deep Shikha and Sawan S. Sinha, Physics of Fluids, 135(12), 2023
Presenters
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Deep Shikha
Indian Institute of Technology Delhi
Authors
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Deep Shikha
Indian Institute of Technology Delhi
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Sawan S Sinha
Indian Institute of Technology Delhi, India
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Prediction of particle trajectories in DNS with machine learning
ORAL
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Presenters
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Oanh L Pham
University of Oklahoma
Authors
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Oanh L Pham
University of Oklahoma
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Dimitrios V Papavassiliou
The University of Oklahoma, University of Oklahoma
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Data-enabled discovery of specific and generalizable turbulence closures
ORAL
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Publication: Yang, Z., Shan, X., & Zhang, W. (2024). Discovery of knowledge of wall-bounded turbulence via symbolic regression. arXiv preprint arXiv:2406.08950.
Presenters
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Zhongxin Yang
Peking University
Authors
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Zhongxin Yang
Peking University
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Xianglin Shan
Northwestern Polytechnical University
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Xiang Yang
Pennsylvania State University
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Weiwei Zhang
Northwestern Polytechnical University
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Differentiable physics for generalizable closure modeling of separated flows
ORAL
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Publication: Shankar, Varun, Romit Maulik, and Venkatasubramanian Viswanathan. "Differentiable turbulence ii." arXiv preprint arXiv:2307.13533 (2023).
Presenters
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Hojin Kim
Pennsylvania State University
Authors
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Hojin Kim
Pennsylvania State University
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Romit Maulik
Pennsylvania State University
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Influence of vibrational non-equilibrium on the dynamics of velocity gradients in turbulent flows
ORAL
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Publication: Influence of vibrational non-equilibrium on the dynamics of velocity gradients in compressible flows, Shishir Srivastava, Farooq A. Bhat and Sawan S. Sinha, Journal of Fluid Mechanics, 988, A24, 2024
Presenters
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Sawan S Sinha
Indian Institute of Technology Delhi, India
Authors
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Sawan S Sinha
Indian Institute of Technology Delhi, India
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Shishir Srivastava
Indian Institute of Technology Delhi INDIA
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Fractional Navier-Stokes equations from first principles
ORAL
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Publication: Pranjivan Mehta, P. (2024). Fractional vector calculus and fractional Navier-Stokes equations. (in preparation).
Presenters
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Pavan Pranjivan Mehta
SISSA, International School of Advanced Studies
Authors
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Pavan Pranjivan Mehta
SISSA, International School of Advanced Studies
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Investigation of turbulent mixing of scalars with arbitrary Schmidt numbers using the stochastic Hierarchical Parcel Swapping Model
ORAL
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Publication: M. Behrang, T. Starick, I. Wheeler, H. Schmidt, A.R. Kerstein, D.O. Lignell, "Hierarchical parcel-swapping representation of turbulent mixing. Part 4. Extension to the viscous range and to mixing of scalars with nonunity Schmidt numbers," submitted to Journal of Fluid Mechanics, June 2024.
Presenters
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David O Lignell
Brigham Young University
Authors
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David O Lignell
Brigham Young University
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Masoomeh Behrang
Brigham Young University
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Alan R Kerstein
Consultant
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Isaac Wheeler
Brigham Young University
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Tommy Starrick
BTU Cottbus-Senftenberg, BTU Cottbus
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Heiko Schmidt
BTU Cottbus-Senftenberg
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