CFD: LES, DNS, Hybrid RANS/LES

Presentations

• Evaluation of a general hybrid RANS/LES model in smooth wall reattachment

  ORAL

  Nov. 21, 2016, 10:40 AM – Nov. 21, 2016, 10:53 AM

  Authors

  • sigfried haering

    • The University of Texas at Austin
    • Institute for Computational Engineering and Sciences, The University of Texas at Austin

  • Robert D. Moser

    • Univ of Texas, Austin
    • University of Texas at Austin
    • University of Texas, Austin
    • Institute for Computational Engineering and Sciences, The University of Texas at Austin
    • The University of Texas at Austin

  View abstract →

• A new algebraic transition model based on stress length function

  ORAL

  Nov. 21, 2016, 10:53 AM – Nov. 21, 2016, 11:06 AM

  Authors

  • Meng-Juan Xiao

    • SKLTCS, COE, Peking Univ.

  • Zhen-Su She

    • Peking Univ.
    • SKLTCS, COE, Peking Univ.
    • SKLTCS,COE,Peking Univ.
    • College of Engineering, Peking University

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• Turbulent flow structure response to a varying wall-roughness arrangement: a modelling study

  ORAL

  Nov. 21, 2016, 11:06 AM – Nov. 21, 2016, 11:19 AM

  Authors

  • Suad Jakirlic

    • Technical University of Darmstadt, Germany

  • Benjamin Krumbein

    • Technical University of Darmstadt, Germany

  • Pourya Fooroghi

    • Karlsruhe Institite of Technology, Germany

  • Franco Magagnato

    • Karlsruhe Institite of Technology, Germany

  • Bettina Frohnapfel

    • Karlsruhe Institite of Technology, Germany

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• Detached eddy simulation for turbulent fluid–-structure interaction of moving bodies using the constraint–-based immersed boundary method

  ORAL

  Nov. 21, 2016, 11:19 AM – Nov. 21, 2016, 11:32 AM

  Authors

  • Nishant Nangia

    • Department of Engineering Sciences and Applied Mathematics, Northwestern University

  • Amneet P. S. Bhalla

    • Department of Mathematics, University of North Carolina at Chapel Hill

  • Boyce E. Griffith

    • University of North Carolina at Chapel Hill
    • Department of Mathematics, University of North Carolina at Chapel Hill

  • Neelesh Patankar

    • Department of Mechanical Engineering, Northwestern University
    • Northwestern Univ
    • Northwestern University

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• A Split Forcing Technique to Reduce Log-layer Mismatch in Wall-modeled Turbulent Channel Flows

  ORAL

  Nov. 21, 2016, 11:32 AM – Nov. 21, 2016, 11:45 AM

  Authors

  • Rey DeLeon

    • University of Idaho, Boise State University

  • Inanc Senocak

    • Boise State University

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• A comparison study of convective schemes in hybrid RANS-LES calculations

  ORAL

  Nov. 21, 2016, 11:45 AM – Nov. 21, 2016, 11:58 AM

  Authors

  • Branislav Basara

    • AVL List GmbH

  • Zoran Pavlovic

    • AVL-AST d.o.o. Slovenija

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• Performance investigation of multigrid optimization for DNS-based optimal control problems

  ORAL

  Nov. 21, 2016, 11:58 AM – Nov. 21, 2016, 12:11 PM

  Authors

  • Cornelia Nita

    • KU Leuven, Mechanical Engineering

  • Stefan Vandewalle

    • KU Leuven, Computer Science

  • Johan Meyers

    • KU Leuven
    • KU Leuven, Mechanical Engineering, Celestijnenlaan 300A, B3001 Leuven, Belgium
    • KU Leuven, Mechanical Engineering, Celestijnenlaan 300A, B3001 Leuven

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• Machine Learning-Assisted Predictions of Turbulent Separated Flows over Airfoils

  ORAL

  Nov. 21, 2016, 12:11 PM – Nov. 21, 2016, 12:24 PM

  Authors

  • Anand Pratap Singh

    • Univ of Michigan - Ann Arbor

  • Shivaji Medida

    • Altair Engineering Inc.

  • Karthik Duraisamy

    • Univ of Michigan - Ann Arbor
    • University of Michigan

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• A Physics-Informed Machine Learning Framework for RANS-based Predictive Turbulence Modeling

  ORAL

  Nov. 21, 2016, 12:24 PM – Nov. 21, 2016, 12:37 PM

  Authors

  • Heng Xiao

    • Virginia Tech

  • Jin-Long Wu

    • Virginia Tech

  • Jian-Xun Wang

    • Virginia Tech

  • Julia Ling

    • Sandia National Labs

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• RANS simulations of variable density flows subject to a changing body forces and shocks

  ORAL

  Nov. 21, 2016, 12:37 PM – Nov. 21, 2016, 12:50 PM

  Authors

  • Rebecca Bertsch

    • Los Alamos National Laboratory

  • Robert Gore

    • Los Alamos National Laboratory

  View abstract →