Turbulence: Modeling III
ORAL · X43 · ID: 1761894
Presentations
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A hidden mechanism of dynamic LES models
ORAL
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Presenters
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Xiaohan Hu
- University of Pennsylvania
Authors
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Xiaohan Hu
- University of Pennsylvania
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Keshav Vedula
- Aerothermal Engineering Group, SpaceX
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George I Park
- University of Pennsylvania
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Error analysis of SES, a mixed-dynamics model to capture all turbulent scales
ORAL
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Presenters
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Shilpa Sajeev
- Texas A&M University
Authors
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Shilpa Sajeev
- Texas A&M University
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Diego A Donzis
- Texas A&M University
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Modeling the subgrid scale scalar variance: a priori tests and application to supersaturation in cloud turbulence
ORAL
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Presenters
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Scott T Salesky
- University of Oklahoma
Authors
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Scott T Salesky
- University of Oklahoma
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Kendra Gillis
- University of Oklahoma
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Jesse C Anderson
- Michigan Technological University
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Ian Hellman
- Michigan Technological University
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Will Cantrell
- Michigan Technological University
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Raymond A Shaw
- Michigan Technological University
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Numerical investigation of wall modeling for LES using convolutional neural network
ORAL
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Publication: Golsa Tabe Jamaat, Yuji Hattori, and Soshi Kawai. "A posteriori study of wall modeling in LES
using a nonlocal data-driven approach" (in preparation)Presenters
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Golsa Tabe Jamaat
- Tohoku university
Authors
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Golsa Tabe Jamaat
- Tohoku university
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Yuji Hattori
- Tohoku Univ
- Tohoku University
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Lagrangian Large Eddy Simulations via Physics-Informed Machine Learning
ORAL
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Presenters
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Yifeng Tian
- Los Alamos National Laboratory
Authors
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Yifeng Tian
- Los Alamos National Laboratory
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Michael Woodward
- Los Alamos National Labs
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Mikhail Stepanov
- The University of Arizona
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Chris L Fryer
- Los Alamos National Laboratory
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Criston M Hyett
- The University of Arizona
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Daniel Livescu
- LANL
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Michael Chertkov
- University of Arizona
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Statistical modeling of Burgers turbulence with a superposition of characteristic functionals
ORAL
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Presenters
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Gabriel B Apolinário
- University of Bayreuth
Authors
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Gabriel B Apolinário
- University of Bayreuth
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Michael Wilczek
- University of Bayreuth
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Turbulent flow prediction: Lagrangian Particle Tracking-Deep Learning (LPT-DL) based models
ORAL
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Publication: - R. Hassanian, Á. Helgadóttir, L. Bouhlali, M. Riedel; An experiment generates a specified mean strained rate turbulent flow: Dynamics of particles. Physics of Fluids 1 January 2023; 35 (1): 015124. https://doi.org/10.1063/5.0134306
- Hassanian, R.; Helgadóttir, Á.; Riedel, M. Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU. Fluids 2022, 7, 344. https://doi.org/10.3390/fluids7110344
- R. Hassanian, H. Myneni, Á. Helgadóttir, M. Riedel; Deciphering the dynamics of distorted turbulent flows: Lagrangian particle tracking and chaos prediction through transformer-based deep learning models. Physics of Fluids 1 July 2023; 35 (7): 075118. https://doi.org/10.1063/5.0157897
- Hassanian, R.; Riedel, M. Leading-Edge Erosion and Floating Particles: Stagnation Point Simulation in Particle-Laden Turbulent Flow via Lagrangian Particle Tracking. Machines 2023, 11, 566. https://doi.org/10.3390/machines11050566Presenters
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Reza Hassanian
- The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland
- The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, 102 Reykjavik, Iceland
Authors
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Reza Hassanian
- The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland
- The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, 102 Reykjavik, Iceland
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Ásdís Helgadóttir
- The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland
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Clara M Velte
- Department of Civil and Mechanical Engineering, Technical University of Denmark
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Morris Riedel
- The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland; Juelich Supercomputing Centre, Germany
- The Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Iceland; Juelich Supercomputing Centre, Germany
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Numerical Multi-Fractal Cascade of Atmospheric Turbulence
ORAL
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Presenters
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Vicente Corral
- University of Texas at El Paso
Authors
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Arturo Rodriguez
- University of Texas at El Paso
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Vicente Corral
- University of Texas at El Paso
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Piyush Kumar
- University of Texas at El Paso
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Vinod Kumar
- University of Texas at El Paso
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Abstract Withdrawn
ORAL · Withdrawn
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A length scale for non-local multi-scale gradient interactions in isotropic turbulence
ORAL
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Publication: A manuscript has been submitted to the Journal of Fluid Mechanics and is currently under revision
Presenters
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Miguel P Encinar
- Johns Hopkins University
Authors
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Miguel P Encinar
- Johns Hopkins University
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