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Kumbakonam R. Rajagopal

Researcher at Texas A&M University

Publications -  688
Citations -  25779

Kumbakonam R. Rajagopal is an academic researcher from Texas A&M University. The author has contributed to research in topics: Constitutive equation & Viscoelasticity. The author has an hindex of 77, co-authored 659 publications receiving 23443 citations. Previous affiliations of Kumbakonam R. Rajagopal include Kent State University & University of Wisconsin-Madison.

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Response of an Elastic Body whose Heat Conduction Is Pressure Dependent

TL;DR: In this article, the authors investigate the change in the response of an elastic solid due to the thermal conductivity being pressure dependent, and find that the response is quite different from the classical response that is obtained by using Fourier's law of heat conduction.
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Mathematical results concerning a class of incompressible viscoelastic solids of differential type

TL;DR: In this article, the authors investigated several mathematical aspects concerning a class of incompressible viscoelastic solids of the differential type and obtained a uniqueness result and showed that when the shear modulus of the VVS is positive, the solutions decay exponentially.
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A methodology to assess the safety of automatically controlled vehicles

TL;DR: In this article, the authors provide an outline of a methodology that may be adopted to assess the safety benefits of automatic vehicle following in an emergency braking scenario, where the following distance and relative velocity of a following vehicle with respect to its immediate predecessor in the lane are also random variables.

On a Viscometric Flow of a Simple Fluid.

TL;DR: In this article, a class of globally viscometric flows which has relevance to slow flows occurring between two infinite parallel plates rotating with differing angular velocities about a common axis is studied.
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A benchmark problem to evaluate implementational issues for three-dimensional flows of incompressible fluids subject to slip boundary conditions

TL;DR: The goal is to test, using the setting with a known analytical solution, a robust computational tool that would be suitable for computations on real complex geometries that have relevance to problems in engineering and medicine.