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Computational Fluid Dynamics: Algorithms I

ORAL · H18 · ID: 22866

Presentations

  • Local Extreme Learning Machines: A Neural Network Based Spectral Element-Like Method

    ORAL

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    Publication: S. Dong & Z. Li, "Local Extreme Learning Machines and Domain Decomposition for Solving Linear and Nonlinear Partial Differential Equations", arXiv:2012.02895<br>S. Dong & Z. Li, "A Modified Batch Intrinsic Plasticity Method for Pre-training the Random Coefficients of Extreme Learning Machines", Journal of Computational Physics, 110585, available online. DOI: https://doi.org/10.1016/j.jcp.2021.110585

    Presenters

    • Suchuan Dong

      Purdue University

    Authors

    • Suchuan Dong

      Purdue University

    • Zongwei Li

      Purdue University

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  • Grid Convergence Index (GCI) Analysis of the Computational Mesh Resolution for Two Numerical Simulation Schemes for the Liquid-Gas Interfacial Reconstruction/Advection in Micron and Submicron Scales

    ORAL

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    Publication: Numerical and Experimental Investigation of Gas Flow Field Variations in Gas-DynamicVirtual Nozzles<br><br>References of the abstract:<br>[1] W. Oberkampf and T. Trucano, "Verification and Validation in Computational Fluid Dynamics," 2002, doi: 10.1016/S0376-0421(02)00005-2.<br>[2] M. Herrmann, "A sub-grid surface dynamics model for sub-filter surface tension induced interface dynamics," Comput. Fluids, vol. 87, pp. 92–101, Oct. 2013, doi: 10.1016/j.compfluid.2013.02.008.<br>[3] S. S. Deshpande, L. Anumolu, and M. F. Trujillo, "Evaluating the performance of the two-phase flow solver interFoam," Comput. Sci. Discov., vol. 5, no. 1, p. 014016, Nov. 2012, doi: 10.1088/1749-4699/5/1/014016.<br>[4] J. Roenby, H. Bredmose, and H. Jasak, "A computational method for sharp interface advection," R. Soc. Open Sci., vol. 3, no. 11, p. 160405, Nov. 2016, doi: 10.1098/rsos.160405.<br>[5] H. Scheufler and J. Roenby, "Accurate and efficient surface reconstruction from volume fraction data on general meshes," J. Comput. Phys., vol. 383, pp. 1–23, Apr. 2019, doi: 10.1016/j.jcp.2019.01.009.

    Presenters

    • Reza Nazari

      Arizona State University

    Authors

    • Reza Nazari

      Arizona State University

    • Adil Ansari

      Arizona State University

    • Ronald J Adrian

      Arizona State University

    • Richard Kirian

      Arizona State University

    • Marcus Herrmann

      Arizona State University

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  • Robust, segregated time integration for direct numerical simulation of low-Mach, variable-density, turbulent flows

    ORAL

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    Publication: A pseudospectral method for direct numerical simulation of low-Mach, variable-density, turbulent flows -- in preparation

    Presenters

    • Bryan W Reuter

      Sandia National Laboratories

    Authors

    • Bryan W Reuter

      Sandia National Laboratories

    • Todd A Oliver

      University of Texas at Austin

    • Robert D Moser

      University of Texas at Austin, The University of Texas at Austin, UT Austin

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  • Predicting drag on rough surfaces by transfer learning of empirical correlations

    ORAL

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    Publication: Sangseung Lee, Jiasheng Yang, Pourya Forooghi, Alexander Stroh, and Shervin Bagheri. "Predicting drag on rough surfaces by transfer learning of empirical correlations." arXiv preprint arXiv:2106.05995 (2021).

    Presenters

    • Sangseung Lee

      KTH Royal Institute of Technology

    Authors

    • Sangseung Lee

      KTH Royal Institute of Technology

    • Jiasheng Yang

      Karlsruhe Institute of Technology

    • Pourya Forooghi

      Aarhus University

    • Alexander Stroh

      Karlsruhe Institute of Technology

    • Shervin Bagheri

      KTH Royal Institute of Technology

    View abstract →