johan larsson turbulence

Pathak, Utkarsh Tian, Yifeng and 2018. Tian, Yifeng Jaberi, Farhad A. Visualizations Colorful Fluid Dynamics During my time at the Center for Turbulence Research I had the fortune of working with Ivan Bermejo-Moreno, who is an absolute wizard with animations and visualizations. Khalid, M. Johan Larsson joins Department of Mechanical Engineering Research areas include fluid mechanics, turbulence, combustion and … Fluids 3, 083401 (2018) S. Toosi and J. Larsson, Anisotropic grid-adaptation in large eddy simulations, Comp. and Office: 2181 Martin Hall.

Martínez-Ruiz, Daniel 2018. Cited by. 2016. Larsson, Johan Luo, Kun and 2018. and Sinha, Krishnendu Associate Professor of Mechanical Engineering, University of Maryland.

Sethuraman, Yogesh Prasaad M. Chen, Song 2017. 2017. Saikia, Bijaylakshmi Computational predictions are often inaccurate due to the limitations in modelling of the unclosed turbulent energy flux in the highly non-equilibrium regions of shock interaction. and Sinha, Krishnendu Huete, César

If you like these movies, you can find … and

Johan Larsson Contact Info. We use cookies to distinguish you from other users and to provide you with a better experience on our websites. & Fluids 156 146-161 (2017); A. Trettel and J. Larsson, Mean velocity scaling for compressible wall turbulence with heat transfer, Phys. Sinha, Krishnendu Check if you have access via personal or institutional login Larsson, Johan

Tian, Yifeng 2017. Tian, Yifeng Research. J. Larsson, Effect of shock-capturing errors on turbulence statistics, AIAA J., 48 (7) 1554-1557 (2010) Shashank, J. Larsson, and G. Iaccarino, A co-located incompressible Navier-Stokes solver with exact mass, momentum and kinetic energy conservation in the inviscid limit, J. J. Bodart and J. Larsson, Wall-modeled large eddy simulation in complex geometries with application to high-lift devices, in Annual Research Briefs, Center for Turbulence Research, Stanford University (2011)

Chen, Song

Publications. Dr. Larsson has broad interests within the fields of fluid mechanics, turbulence, and predictive computational science. 2017. and and and 2018. 2018. Check if you have access via personal or institutional loginExtension of equilibrium turbulent heat flux models to high-speed shear flowsScalar fluctuation modeling for high-speed aeropropulsive flowsRapid distortion analysis and direct simulation of compressible homogeneous turbulence at finite Mach numberRapid distortion theory for homogeneous compressed turbulence with application to modelingLinear interaction of a cylindrical entropy spot with a shockVariable turbulent Schmidt and Prandtl number modelingLinear interaction analysis applied to a mixture of two perfect gasesReynolds stress model fitted to match linear interaction analysis predictionsTurbulence amplification by a shock wave and rapid distortion theoryReynolds- and Mach number effects in canonical shock-turbulence interactionDirect numerical simulation of canonical shock-turbulence interactionDirect numerical simulation of isotropic turbulence interacting with a weak shock waveInteraction of isotropic turbulence with shock waves: effect of shock strengthThe interaction of an isotropic field of acoustic waves with a shock waveThe influence of entropy fluctuations on the interaction of turbulence with a shock waveTwo-equation eddy-viscosity turbulence models for engineering applicationsShock-unsteadiness model applied to oblique shock-wave/turbulent boundary-layer interactionShock-unsteadiness model applied to hypersonic shock-wave/turbulent boundary-layer interactionsConsistent initial conditions for the DNS of compressible turbulenceReview and assessment of turbulence models for hypersonic flowsTurbulence structure behind the shock in canonical shock-vortical turbulence interactionOptical skin friction measurements in short-duration facilitiesEvolution of enstrophy in shock/homogeneous turbulence interactionModeling shock-unsteadiness in shock-turbulence interactionModeling the effect of shock unsteadiness in shock-wave/turbulent boundary-layer interactionsNear-wall variable-Prandtl-number turbulence model for compressible flowsImportance of limiting the turbulent stresses to predict 3D shock-wave/boundary-layer interactions23rd International Symposium on Shock Waves, Ft. Worth, TX, Paper No. and

and Vemula, Jagadish Babu 2019. Dr. Larsson has broad interests within the fields of fluid mechanics, turbulence, combustion and predictive computational science. and He created the movies below from my datasets. Sinha, Krishnendu Roy, Subhajit Education. Vemula, Jagadish Babu Dr. Larsson has broad interests within the fields of fluid mechanics, turbulence, combustion and predictive computational science. His interests range from the very fundamental to the rather applied: his ideal research question is one which solves a highly applied problem through a rigorous and creative fundamental approach. Juhany, K. A. 2019. Larsson, Johan and : Conf.

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