Computational Fluid Dynamics: Algorithms II; Shock Capturing; SPH & Mesh Free Methods

Presentations

• Eulerian simulation of complex suspensions and biolocomotion in three dimensions

  ORAL

  Nov. 23, 2021, 12:40 PM – Nov. 23, 2021, 12:53 PM

  Publication: Yuexia L. Lin, Nicholas J. Derr, and Chris H. Rycroft, Eulerian simulation of complex suspensions and biolocomotion in three dimensions, arXiv:2104.00095 (2021).

  Presenters

  • Christopher Rycroft

    • Harvard University
    • Harvard

  Authors

  • Yuexia L Lin

    • Harvard University

  • Nicholas J Derr

    • Harvard University

  • Christopher Rycroft

    • Harvard University
    • Harvard

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• Made for each other: adjoint solvers and high-dimensional gradient-augmented Bayesian optimization

  ORAL

  Nov. 23, 2021, 12:53 PM – Nov. 23, 2021, 1:06 PM

  Publication: Sengupta, U., Juniper, M.P. Thermoacoustic stabilization of combustors with adjoint models and gradient-augmented Bayesian optimization (submitted to Symposium on Thermoacoustics in Combustion 2021)

  Presenters

  • Ushnish Sengupta

    • University of Cambridge

  Authors

  • Ushnish Sengupta

    • University of Cambridge

  • Yubiao Sun

    • University of Cambridge

  • Matthew P Juniper

    • University of Cambridge
    • Univ of Cambridge

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• Construction of stable difference schemes using a generative model

  ORAL

  Nov. 23, 2021, 1:06 PM – Nov. 23, 2021, 1:19 PM

  Presenters

  • Nek Sharan

    • Auburn University
    • Los Alamos National Laboratory

  Authors

  • Nek Sharan

    • Auburn University
    • Los Alamos National Laboratory

  • Mahesh Natarajan

    • NASA Ames Research Center

  • Peter T Brady

    • Los Alamos National Laboratory

  • Daniel Livescu

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory

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• Three-dimensional realizations of the flood flow field in large-scale rivers using convolutional neural networks

  ORAL

  Nov. 23, 2021, 1:19 PM – Nov. 23, 2021, 1:32 PM

  Publication: Zhang, Z., Flora, K., Kang, S., Limaye, A. B., & Khosronejad, A. (2021). Prediction of three-dimensional flood-flow past bridge piers in a large-scale meandering river using convolutional neural networks. arXiv preprint arXiv:2106.11276.

  Presenters

  • Zexia Zhang

    • State Univ of NY - Stony Brook

  Authors

  • Zexia Zhang

    • State Univ of NY - Stony Brook

  • Ali Khosronejad

    • Stony Brook University
    • State Univ of NY - Stony Brook
    • Stony Brook University (SUNY)

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• Simulating shocks and discontinuities by solving the spatially-filtered Euler equations

  ORAL

  Nov. 23, 2021, 1:32 PM – Nov. 23, 2021, 1:45 PM

  Presenters

  • Alexandra Baumgart

    • Caltech

  Authors

  • Alexandra Baumgart

    • Caltech

  • Guillaume Blanquart

    • Caltech

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• Approximating an artificial viscosity operator with neural networks in a shock-capturing scheme

  ORAL

  Nov. 23, 2021, 1:45 PM – Nov. 23, 2021, 1:58 PM

  Publication: A. Larsen, B. Olson, "Approximating the artificial viscosity operator in a shock-capturing scheme with neural networks." Preprint.

  Presenters

  • Aaron Larsen

  Authors

  • Aaron Larsen

  • Britton Olson

    • Lawrence Livermore National Laboratory

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• A consistent artificial diffusivity model for capturing discontinuities in compressible flows using central spatial discretization

  ORAL

  Nov. 23, 2021, 1:58 PM – Nov. 23, 2021, 2:11 PM

  Presenters

  • Shahab Mirjalili

    • Stanford University

  Authors

  • Shahab Mirjalili

    • Stanford University

  • Soren Taverniers

    • Palo Alto Research Center (PARC)

  • Henry Collis

    • Stanford University

  • Ali Mani

    • Stanford University
    • Stanford Univ
    • Stanford

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• Physics Informed Machine Learning of Smooth Particle Hydrodynamics: Validation of the Lagrangian Turbulence Approach

  ORAL

  Nov. 23, 2021, 2:11 PM – Nov. 23, 2021, 2:24 PM

  Presenters

  • Michael Woodward

    • University of Arizona

  Authors

  • Michael Woodward

    • University of Arizona

  • Yifeng Tian

    • Los Alamos National Laboratory

  • Michael Chertkov

    • University of Arizona

  • Mikhail Stepanov

    • University of Arizona

  • Daniel Livescu

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory

  • Criston M Hyett

    • University of Arizona
    • The University of Arizona

  • Chris Fryer

    • Los Alamos Natl Lab
    • Los Alamos National Laboratory

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• A Multi-Block Neural Networks for General and Approximate Riemann problems.

  ORAL

  Nov. 23, 2021, 2:24 PM – Nov. 23, 2021, 2:37 PM

  Publication: Wei, H.S., Huang, Z. and Xi,G., A Multi-Block Neural Networks for General and Approximate Riemann problems. Journal of Computational Physics. (Planned )

  Presenters

  • Huangsheng Wei

    • Xi'an Jiaotong Univ
    • Xi'an Jiaotong University

  Authors

  • Huangsheng Wei

    • Xi'an Jiaotong Univ
    • Xi'an Jiaotong University

  • Zhu Huang

    • Xi'an Jiaotong Univ

  • Guang Xi

    • Xi'an Jiaotong Univ

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• Vortex breakdown in non-isothermal gaseous swirling jets

  ORAL

  Nov. 23, 2021, 2:37 PM – Nov. 23, 2021, 2:50 PM

  Presenters

  • Ben Keeton

    • University of California, San Diego

  Authors

  • Ben Keeton

    • University of California, San Diego

  • Jaime Carpio

    • Universidad Politecnica de Madrid

  • Keiko K Nomura

    • University of California, San Diego

  • Antonio L Sanchez

    • University of California, San Diego

  • Forman A Williams

    • University of California, San Diego

  View abstract →