What is he best known for?
The fields of study he is best known for:
- Mechanics
- Thermodynamics
- Mechanical engineering
H. S. Udaykumar focuses on Mechanics, Geometry, Flow, Regular grid and Boundary.
His work deals with themes such as Conservation law, Numerical analysis, Boundary value problem and Finite element method, which intersect with Mechanics.
The study incorporates disciplines such as Natural convection and Navier–Stokes equations in addition to Geometry.
His research in Flow intersects with topics in Computational fluid dynamics, Computational science, Fluid mechanics, Position and Variety.
His work carried out in the field of Regular grid brings together such families of science as Incompressible flow, Solver and Computation.
H. S. Udaykumar has included themes like Multiphase flow, Discretization, Mathematical analysis and Cartesian coordinate system in his Boundary study.
His most cited work include:
- Regular Article: An Accurate Cartesian Grid Method for Viscous Incompressible Flows with Complex Immersed Boundaries (636 citations)
- A sharp interface Cartesian Ggid method for simulating flows with complex moving boundaries: 345 (421 citations)
- Computation of Solid-Liquid Phase Fronts in the Sharp Interface Limit on Fixed Grids (294 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Mechanics, Regular grid, Void, Classical mechanics and Sharp interface.
His studies deal with areas such as Boundary value problem, Energetic material and Shock as well as Mechanics.
His Regular grid study also includes
- Cartesian coordinate system and related Mathematical analysis,
- Hypervelocity most often made with reference to Compressibility.
His Sharp interface research is multidisciplinary, relying on both Fluid–structure interaction and Ghost fluid.
His Geometry study integrates concerns from other disciplines, such as Boundary, Compressible flow and Computation.
His studies in Boundary integrate themes in fields like Flow and Computational science.
He most often published in these fields:
- Mechanics (50.42%)
- Regular grid (11.76%)
- Void (9.24%)
What were the highlights of his more recent work (between 2017-2021)?
- Mechanics (50.42%)
- Void (9.24%)
- Ignition system (5.88%)
In recent papers he was focusing on the following fields of study:
H. S. Udaykumar mostly deals with Mechanics, Void, Ignition system, Porosity and Shock.
The various areas that H. S. Udaykumar examines in his Mechanics study include Mesoscale meteorology and Vaporization.
The concepts of his Void study are interwoven with issues in Chemical reaction model, Curse of dimensionality and Thermodynamics.
His research in Ignition system tackles topics such as Surrogate model which are related to areas like Training set.
His study in Porosity is interdisciplinary in nature, drawing from both Shock response spectrum, Energetic material and Microstructure.
His Shock study combines topics in areas such as Composite material, Polymer and Work.
Between 2017 and 2021, his most popular works were:
- Three-dimensional simulations of void collapse in energetic materials (35 citations)
- Multi-scale shock-to-detonation simulation of pressed energetic material: A meso-informed ignition and growth model (27 citations)
- Void collapse generated meso-scale energy localization in shocked energetic materials: Non-dimensional parameters, regimes, and criticality of hotspots (23 citations)
In his most recent research, the most cited papers focused on:
- Mechanics
- Thermodynamics
- Mechanical engineering
His main research concerns Mechanics, Void, Ignition system, Surrogate model and Mesoscale meteorology.
His Mechanics research is multidisciplinary, incorporating perspectives in Tandem and TATB.
Parameter space and Detonation is closely connected to Porosity in his research, which is encompassed under the umbrella topic of Ignition system.
His Surrogate model research includes elements of Radial basis function, Space mapping, Reynolds number, Function and Computation.
His Mesoscale meteorology research is multidisciplinary, incorporating elements of Grid, Machine learning and Artificial intelligence.
His Mach number study incorporates themes from Cylinder, Drag coefficient, Nusselt number and Shock.
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