R
Reetesh Ranjan
Researcher at Georgia Institute of Technology
Publications - 46
Citations - 581
Reetesh Ranjan is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Turbulence & Large eddy simulation. The author has an hindex of 10, co-authored 41 publications receiving 465 citations. Previous affiliations of Reetesh Ranjan include University of Illinois at Urbana–Champaign & University of Tennessee at Chattanooga.
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Journal ArticleDOI
Flame Dynamics During Combustion Instability in a High-Pressure, Shear-Coaxial Injector Combustor
TL;DR: In this paper, the authors present a large-eddy simulation based investigation of combustion instability in the Continuous Variable Resonance Combustor (CVRC); a high-pressure, shear-coaxial injector combustor studied experimentally at Purdue University.
Journal ArticleDOI
Advances and challenges in modeling high-speed turbulent combustion in propulsion systems
TL;DR: In this paper, the authors address the problems encountered when modeling high-speed combustion, or in other words, what are the problems of turbulent-combustion modeling? Do such interactions need modeling? What are the challenges when going from modeling low-speed-to-high-speed combustions problems?
Proceedings ArticleDOI
Performance analysis, design considerations, and applications of extreme-scale in situ infrastructures
Utkarsh Ayachit,Andrew Bauer,Earl P. N. Duque,Greg Eisenhauer,Nicola J. Ferrier,Junmin Gu,Kenneth E. Jansen,B. Loring,Zarija Lukić,Suresh Menon,Dmitriy Morozov,Patrick O'Leary,Reetesh Ranjan,Michel Rasquin,Christopher Stone,Venkat Vishwanath,Gunther H. Weber,Brad Whitlock,Matthew Wolf,K. John Wu,E. Wes Bethel +20 more
TL;DR: This paper examines several key design and performance issues related to the idea of in situ processing at extreme scale on modern platforms: scalability, overhead, performance measurement and analysis, comparison and contrast with a traditional post hoc approach, and interfacing with simulation codes.
Journal ArticleDOI
Parallel on-the-fly adaptive kinetics in direct numerical simulation of turbulent premixed flame
TL;DR: The results show that the new framework provides a significant speed-up of kinetics and transport computation, which allows DNS with large kinetic mechanisms, and at the same time maintains high accuracy and good parallel scalability.
Journal ArticleDOI
Sensitivity of predictions to chemical kinetics models in a temporally evolving turbulent non-premixed flame
TL;DR: In this paper, two different chemical kinetics models, GRI-Mech 30 and an 11-species syngas model, are compared by performing 3D finite-rate kinetics-based direct numerical simulations (DNS) of a temporally evolving turbulent non-premixed syngga flame.