What is he best known for?
The fields of study he is best known for:
- Mechanics
- Thermodynamics
- Geometry
Classical mechanics, Mechanics, Turbulence, Direct numerical simulation and Reynolds number are his primary areas of study.
He has researched Classical mechanics in several fields, including Shock wave, Particle-laden flows, Compressibility, Boundary layer and Vortex.
Krishnan Mahesh regularly links together related areas like Combustor in his Mechanics studies.
The concepts of his Direct numerical simulation study are interwoven with issues in Turbulence modeling and Statistical physics.
The study incorporates disciplines such as Computational fluid dynamics, Homogeneous isotropic turbulence and K-epsilon turbulence model in addition to Turbulence modeling.
His Reynolds number study integrates concerns from other disciplines, such as Leading edge, Simulation and Laminar flow.
His most cited work include:
- DIRECT NUMERICAL SIMULATION: A Tool in Turbulence Research (1088 citations)
- A numerical method for large-eddy simulation in complex geometries (425 citations)
- The Interaction of Jets with Crossflow (313 citations)
What are the main themes of his work throughout his whole career to date?
Krishnan Mahesh mainly focuses on Mechanics, Turbulence, Large eddy simulation, Direct numerical simulation and Classical mechanics.
His study in Vortex, Reynolds number, Boundary layer, Cavitation and Laminar flow is carried out as part of his Mechanics studies.
His Reynolds number study incorporates themes from Reynolds stress and Wake.
The Turbulence study combines topics in areas such as Jet, Numerical analysis and Statistical physics.
Krishnan Mahesh has included themes like Marine engineering, Propeller, Combustor and Reynolds-averaged Navier–Stokes equations in his Large eddy simulation study.
Much of his study explores Classical mechanics relationship to Compressibility.
He most often published in these fields:
- Mechanics (68.55%)
- Turbulence (33.22%)
- Large eddy simulation (18.73%)
What were the highlights of his more recent work (between 2018-2021)?
- Mechanics (68.55%)
- Turbulence (33.22%)
- Cavitation (8.48%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Mechanics, Turbulence, Cavitation, Reynolds number and Vortex.
His work on Turbulent channel flow, Jet, Volume of fluid method and Flow is typically connected to Geology as part of general Mechanics study, connecting several disciplines of science.
Direct numerical simulation is the focus of his Turbulence research.
His Cavitation research includes themes of Mach number, Narrowband, Nucleation, Surface and Stiffness.
His study looks at the intersection of Mach number and topics like Supersonic speed with Compressibility and Large eddy simulation.
Krishnan Mahesh interconnects Development, Wake and Upstream in the investigation of issues within Vortex.
Between 2018 and 2021, his most popular works were:
- Wall-bounded flow over a realistically rough superhydrophobic surface (11 citations)
- A massively-parallel, unstructured overset method for mesh connectivity (11 citations)
- Numerical investigation of partial cavitation regimes over a wedge using large eddy simulation (9 citations)
In his most recent research, the most cited papers focused on:
- Mechanics
- Thermodynamics
- Geometry
His scientific interests lie mostly in Mechanics, Turbulence, Direct numerical simulation, Reynolds number and Vortex.
Turbulent channel flow, Mach number, Shock wave, Compressibility and Adverse pressure gradient are the core of his Mechanics study.
Krishnan Mahesh combines subjects such as Laminar flow, Surface roughness, Volume of fluid method, Drag and Couette flow with his study of Turbulence.
His research in Direct numerical simulation intersects with topics in Spectral density, Wavenumber, Plane, Rigid body and Finite volume method.
His studies deal with areas such as Wake and Upstream as well as Reynolds number.
His research integrates issues of Jet, Boundary layer, Shear and Upstream and downstream in his study of Vortex.
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