Computational Fluid Dynamics Laboratory
Oklahoma State University

We are developing advanced computational methods for nonlinear dynamical systems driven by multiscale and multiphysics processes. The systems studied in our lab range from engineering flow problems to geophysical flow problems with different levels of complexities. There is an emphasis on modeling and analysis of turbulent flows across a variety of spatial and temporal scales. More information about our research activities can be found here

JOIN US!

We do have possible openings for prospective graduate students interested in broad areas of fluid dynamics, numerical analysis and computing. If interested, please send an email to Dr. Omer San at cfdlab.osu@gmail.com. 

We are located at the third floor of Advanced Technology Research Center building on OSU's Stillwater campus (ATRC 303 & 319).

CFDLAB FOCUS AREA
Our current efforts are centered in the development of hybrid approaches in LES and ROM frameworks. 
We are establishing guidelines for a “hybrid analytics” approach combining machine learning with the physics-based models, which will contribute a firm unified foundation for the computational modeling and simulation of multiscale and multiphysics transport problems. This is a joint work with Dr. Adil Rasheed (from SINTEF Digital, Norway) . 

Closure modeling analogy between large eddy simulation (LES) and reduced 
order modeling (ROM) where higher m index refers to smaller scales. Further details in this analogy can be found in the 
J. Comput. Nonlinear Dynam 7(3), 034503 (2012) article 
titled "
A New Closure Strategy for Proper Orthogonal Decomposition Reduced-Order Models
"
 by 
Imran Akhtar, Zhu Wang, Jeff Borggaard and Traian Iliescu

A snapshot of the density field for the stratified turbulence problem where we assess the validity of the proposed blind deconvolution approach. Maulik and San, J. Fluid Mech. 2017; 831: 151-181

Evolution of the x-component vorticity iso-surfaces for the Taylor-Green problem, exhibiting well-known vortex stretching mechanism in isotropic, homogeneous turbulent flows and the consequent production of small eddies. San, Staples, and Iliescu, Int J Comput Fluid D 2015; 29: 40-66 

A high resolution snapshot of the double shear layer problem obtained by the Roe solver, where we test the implicit and explicit LES models. Maulik and San, Fluids 2017; 2:14

Rayleigh-Benard natural convection: Streamfunction (top), vorticity (middle) and temperature (bottom) fields for Ra= 10,000 (left) and Ra=100,000 (right). Maulik and San, Int. J. Heat Mass Transfer, 2017; 108: 1656-1675

KHI
Evolution of temperature field for the Marsigli flow problem (also known as the lock-exchange problem), a strong shear flow problem exhibiting the Kelvin-Helmholtz instability. San and Borggaard, Int J Numer Meth Fluids, 2015;  78: 37-62




Instantaneous Q surface plot for a turbulent channel at Re_t=395, colored by the magnitude of the absolute vorticity. Presented in the Coalition for Advancing Digital Research & Education (CADRE) conference, Oklahoma State University, Stillwater, April 17, 2018.