Turbulence Modeling II

Presentations

• Reynolds stress decay modeling informed by anisotropically forced homogeneous turbulence

  ORAL

  Nov. 26, 2024, 8:00 AM – Nov. 26, 2024, 8:13 AM

  Presenters

  • Omkar Shende

    • Stanford University

  Authors

  • Omkar Shende

    • Stanford University

  • Ty Homan

    • Stanford University

  • Ali Mani

    • Stanford University

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• Assessment of confinement effects on decay terms of Reynolds-stress transport equations

  ORAL

  Nov. 26, 2024, 8:13 AM – Nov. 26, 2024, 8:26 AM

  Presenters

  • Makrand A Khanwale

    • Stanford University
    • Center for Turbulence Research

  Authors

  • Makrand A Khanwale

    • Stanford University
    • Center for Turbulence Research

  • 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

  Nov. 26, 2024, 8:26 AM – Nov. 26, 2024, 8:39 AM

  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

  • Rozie Zangeneh

    • Stanford University

  Authors

  • Rozie Zangeneh

    • Stanford University

  • Omkar Shende

    • Stanford University

  • Ali Mani

    • Stanford University

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• Non-linear structure-based modeling of the rapid pressure strain rate correlation using machine learning

  ORAL

  Nov. 26, 2024, 8:39 AM – Nov. 26, 2024, 8:52 AM

  Presenters

  • Sahil Kommalapati

    • University of Texas at Austin

  Authors

  • Sahil Kommalapati

    • University of Texas at Austin

  • Sigfried W Haering

    • University of Texas at Austin

  • 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

  Nov. 26, 2024, 8:52 AM – Nov. 26, 2024, 9:05 AM

  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

  • Deep Shikha

    • Indian Institute of Technology Delhi

  Authors

  • Deep Shikha

    • Indian Institute of Technology Delhi

  • Sawan S Sinha

    • Indian Institute of Technology Delhi, India

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• Prediction of particle trajectories in DNS with machine learning

  ORAL

  Nov. 26, 2024, 9:05 AM – Nov. 26, 2024, 9:18 AM

  Presenters

  • Oanh L Pham

    • University of Oklahoma

  Authors

  • Oanh L Pham

    • University of Oklahoma

  • Dimitrios V Papavassiliou

    • The University of Oklahoma
    • University of Oklahoma

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• Data-enabled discovery of specific and generalizable turbulence closures

  ORAL

  Nov. 26, 2024, 9:18 AM – Nov. 26, 2024, 9:31 AM

  Publication: Yang, Z., Shan, X., & Zhang, W. (2024). Discovery of knowledge of wall-bounded turbulence via symbolic regression. arXiv preprint arXiv:2406.08950.

  Presenters

  • Zhongxin Yang

    • Peking University

  Authors

  • Zhongxin Yang

    • Peking University

  • Xianglin Shan

    • Northwestern Polytechnical University

  • Xiang Yang

    • Pennsylvania State University

  • Weiwei Zhang

    • Northwestern Polytechnical University

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• Differentiable physics for generalizable closure modeling of separated flows

  ORAL

  Nov. 26, 2024, 9:31 AM – Nov. 26, 2024, 9:44 AM

  Publication: Shankar, Varun, Romit Maulik, and Venkatasubramanian Viswanathan. "Differentiable turbulence ii." arXiv preprint arXiv:2307.13533 (2023).

  Presenters

  • Hojin Kim

    • Pennsylvania State University

  Authors

  • Hojin Kim

    • Pennsylvania State University

  • Romit Maulik

    • Pennsylvania State University

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• Influence of vibrational non-equilibrium on the dynamics of velocity gradients in turbulent flows

  ORAL

  Nov. 26, 2024, 9:44 AM – Nov. 26, 2024, 9:57 AM

  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

  • Sawan S Sinha

    • Indian Institute of Technology Delhi, India

  Authors

  • Sawan S Sinha

    • Indian Institute of Technology Delhi, India

  • Shishir Srivastava

    • Indian Institute of Technology Delhi INDIA

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• Fractional Navier-Stokes equations from first principles

  ORAL

  Nov. 26, 2024, 9:57 AM – Nov. 26, 2024, 10:10 AM

  Publication: Pranjivan Mehta, P. (2024). Fractional vector calculus and fractional Navier-Stokes equations. (in preparation).

  Presenters

  • Pavan Pranjivan Mehta

    • SISSA, International School of Advanced Studies

  Authors

  • 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

  Nov. 26, 2024, 10:10 AM – Nov. 26, 2024, 10:23 AM

  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

  • David O Lignell

    • Brigham Young University

  Authors

  • David O Lignell

    • Brigham Young University

  • Masoomeh Behrang

    • Brigham Young University

  • Alan R Kerstein

    • Consultant

  • Isaac Wheeler

    • Brigham Young University

  • Tommy Starrick

    • BTU Cottbus-Senftenberg
    • BTU Cottbus

  • Heiko Schmidt

    • BTU Cottbus-Senftenberg

  View abstract →