Dr. S. S. Ravindran, Ph.D Email and Phone Number
Dr. Ravindran is a professor specializing in control and computational fluid dynamics - the use of computers to study movement of fluid and how they are affected by forces - at the University of Alabama in Huntsville with secondary appointment in Propulsion Research Center (https://www.uah.edu/prc). Prior to this appointment, he was an NRC postdoctoral research fellow in the Flow Modeling and Control Branch at NASA Langley Research Center, Virginia. Previous to that, he was a visiting assistant professor in the Center for Research in Scientific Computation at North Carolina State University. He thanks both of these great institutions for the opportunities and mentoring and professional development. As principal investigator of various research grants, he has conducted research for agencies such as the National Science Foundation, DOD, NASA Langley Research Center and NASA Marshall Space Flight Center. He has also received NASA Summer Faculty Research Fellowship eight times and spent the summers in the Fluid Dynamics and Thermal Analysis Branch at the NASA Marshall Space Flight Center.He has been a visiting scholar at many institutions, including the IMA at UMinn, ICERM at Brown, INRIA, IPAM at UCLA, SAMSI and MSRI at UCBekeley.Ravindran's research lie at the interfaces of theoretical analysis, numerical analysis and scientific computing, and contributes to the theoretical foundation of numerical methods and simulation tools for the solution of Navier-Stokes equations modelling complex real world problems such as design of aircraft and other fluid devices.Ravindran enjoys an international reputation as a leading researcher due to his pioneering and fundamental contributions to numerical solutions of flow control problems marked a major advancement in the field. He has to his credit 80+ refereed publications in reputed professional journals and proceedings. He has given invited lectures in many countries and has conducted a number of minisymposia on computational modeling and fluid dynamics in many professional societies such as SIAM, IEEE, AIAA, and ASME. His scientific expertise has been recognized by over 2300 citations (Google Scholar) of his publications and, by invitations to consult by industry and government labs and to serve in the Editorial Boards of journals.His research mission is dedicated to the development of stable, accurate, robust and adaptive numerical algorithms, based on a rigorous theoretical foundation, for efficient numerical simulation of multi-scale and multi-physics fluid phenomena on modern computers.
University Of Alabama In Huntsville
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Professor Of Computational Fluid Dynamics And ControlUniversity Of Alabama In HuntsvilleHuntsville, Al, Us -
Professor Of Computational Fluid Dynamics And ControlUniversity Of Alabama In Huntsville Aug 1999 - PresentHuntsville, AlabamaDr. Ravindran currently serves as a professor specializing in Control and Computational Fluid Mechanics - the use of computers to study movement of fluid - at UAH. His responsibilities include research in computational modeling in fluids & flow control, and lecture undergraduate and graduate courses in related areas. At NASA Langley and NC State, his focus had mainly been on the high-fidelity modeling of fluid flow (offline) and model-reduction (online) used in prediction of fluid flow and the solution of the corresponding control problems (e.g. enhance mixing or mitigate separation). The fluid flow control problems were formulated as PDE constrained optimization problems and solved via adjoint equations (back probagation). These are high dimensional problems (big data) and their solution requires the development of new algorithms and analysis of PDEs and control problems. In the recent past, he has been developing fast, accurate and long time energy stable time stepping algorithms for high dimensional finite element models, especially with variable time steps and robust adaptive strategies. Current research conducted includes (i) dynamic data-driven approaches, with an emphasis on sparsity, to projection based reduced-order-modeling (ROM) by POD method and applications to control of turbulent flows: reducing the dimension of the models in some way to make orders of magnitude efficiency gains in solving complex models while preserving fidelity and robustness with respect to parameter changes. (ii) Reinforcement Learning to study high dimensional, non-linear, time dependent dynamic systems and in particular to design active flow controls. -
Graduate Program DirectorThe University Of Alabama In Huntsville Sep 2021 - PresentHuntsville, Alabama, United States -
Research And Development StaffUah Propulsion Research Center 2008 - PresentUniversity Of Alabama In Huntsville, HuntsvilleFluid flow behavior is becoming increasingly important for the design of aerospace vehicle shape and components to improve design performance. The goal of this project is to generate optimal control and design shapes that provide the desired performance for specified design goals such as drag, lift, flow uniformity, noise reduction and reduced energy requirements. -
Nasa Summer Faculty Fellow In Propulsion Thermal Analysis Branch, Nasa Marshall Space Flight CenterNasa - National Aeronautics And Space Administration 2003 - 2019Huntsville, Alabama AreaCryogenic Fluid Management (CFM): The operation of a cryogenic propulsion system, such as those found in spacecraft and missiles, requires transfer line chill down before establishing a steady flow of cryogenic fluid between various system components. We have developed a fluid-structure coupled modeling implementations for conjugate heat transfer in flow network. The proposed numerical approaches ability to accurately predict fluid and thermal transients has been demonstrated by solving the strongly coupled fluid-solid-heat transfer problem of chill down cryogenic transfer line. The model is also employed to study the LH2 cool-down phenomenon in long horizontal transfer lines. Parametric investigations are performed to understand the influence of inlet sub-cooling, inlet pressure and axial distance from pipe inlet on cool-down heat transfer. The proposed network flow model captures the essential features of conjugate heat transfer and provides an efficient and robust way for predicting chilldown of transfer line at a low computational cost. https://arc.aiaa.org/doi/abs/10.2514/1.B34037-Developed various modeling and simulation capabilities to augment the capabilities of NASA's Generalized Fluid System Simulation Program (GFSSP) software (https://www.nasa.gov/gfssp/). GFSSP is thermal/fluid system design and analysis tool which is capable of analyzing steady state and transient flow in a complex network modeling several physical phenomena including compressibility effects, phase changes and mixture thermodynamics for multiple species. -
Propulsion Engineering Consultant At Jacobs EngineeringJacobs Engineering S.A. Oct 2013 - Mar 2014Huntsville, Alabama AreaI served as a consultant in CFD and Turbulence Modeling for Conjugate Heat Transfer.-Conducted aerodynamic and aerothermodynamic CFD simulations, analyzed and documented results in support of R&D tasks related to aerospace system development -
Nrc Research Staff At Flow Modeling And Control Branch, Nasa Larc, VirginiaNasa - National Aeronautics And Space Administration Aug 1997 - Aug 1999Hampton, Virginia-The performance of an airplane wing is often degraded by flow separation. In this project, we evaluated the effectiveness of synthetic jets as a separation control technique for flow separation over an airfoil. Modification of the boundary layer due to oscillatory blowing and suction and its role in separation control was studied. Performed RANS simulations to validate the results with experimental data. The use of the synthetic-jet actuator causes a dramatic increase in the maximum lift coefficient when the baseline (uncontrolled) flow separates. It was found that the angle of attack for which stall occurs is increased.- Developed POD-ROM models for real-time prediction and control of fluid flows.A methodology proposed for actively controlling flows involves the use of proper orthogonal decomposition (POD) to derive computational models of reduced order. The methodology could be particularly useful for controlling flows of gases and liquids in real time. In a test case, the methodology was applied to a two-dimensional flow in a channel that includes a backward-facing step. At high Reynolds numbers, the flow separates and recirculation appears (see figure). The problem was formulated as one of blowing of fluid on part of the step surface to reduce the recirculation and thereby reduce the length of reattachment. Computational simulations with as few as 9 POD modes showed that optimal blowing control could effectively eliminate separation and significantly reduce the size of the recirculation bubble and the reattachment length. A feature article on my ROM work appeared on NASA tech brief in 1999, see https://www.techbriefs.com/component/content/article/tb/supplements/mctb/briefs/30045. -
Visiting Assistant Professor, Center For Research In Scientific ComputationNorth Carolina State University May 1994 - Aug 1997Raleigh-Durham, North Carolina Area- Developed reduced basis based model reduction algorithmsfor optimal feedback control of fluid flow. We unequivocally demonstrated that suitably formulated reduced-order mathematical models can be satisfactory approximations for purposes of nonlinear infinite dimensional control.- Designed and improved state-of-the-art finite element based algorithmsfor optimal feedback control of fluid flow.- Developed analytical theory for optimal control problems associated with fluid flow- Developed numerical analysis of fast algorithms for solving optimal control problems associated with fluid flow
Dr. S. S. Ravindran, Ph.D Education Details
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Vancouver, British Columbia, CanadaControl Systems And Computational Fluid Mechanics -
Fluid Mechanics And Turbulence -
University Of Sri Lanka, Sri LankaB.Sc (Special Hons)
Frequently Asked Questions about Dr. S. S. Ravindran, Ph.D
What company does Dr. S. S. Ravindran, Ph.D work for?
Dr. S. S. Ravindran, Ph.D works for University Of Alabama In Huntsville
What is Dr. S. S. Ravindran, Ph.D's role at the current company?
Dr. S. S. Ravindran, Ph.D's current role is Professor of Computational Fluid Dynamics and Control.
What schools did Dr. S. S. Ravindran, Ph.D attend?
Dr. S. S. Ravindran, Ph.D attended Vancouver, British Columbia, Canada, The University Of British Columbia, University Of Sri Lanka, Sri Lanka.
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