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K

K. Ramesh

Researcher at Indian Institute of Technology Madras

Publications -  128
Citations -  2168

K. Ramesh is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Photoelasticity & Stress intensity factor. The author has an hindex of 23, co-authored 125 publications receiving 1884 citations. Previous affiliations of K. Ramesh include Indian Institute of Technology Bombay & Indian Institutes of Technology.

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Noise removal in three-fringe photoelasticity by adaptive colour difference estimation

TL;DR: In this article, a new colour difference formula is proposed with an additional term, which ensures continuity of fringe order data over the domain, and the new method is termed as refined TFP.
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Study of interaction effects of asymmetric cracks under biaxial loading using digital photoelasticity

TL;DR: In this article, the authors used the corrected Atluri-Kobayashi multiparameter stress field equation in conjunction with the over-deterministic least squares method to determine the stress intensity factor (SIF) for a single central crack in a cruciform specimen, when the biaxial ratio is increased from 0 to 1, only shielding is observed.
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Colour Adaptation in Three Fringe Photoelasticity

TL;DR: In this article, a new methodology to tune the calibration table obtained for a single material to accommodate the tint variation in TFP is proposed for the use of different specimen materials, and the results obtained are compared with the phase shifting technique.
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Improved determination of retardation in digital photoelasticity by load stepping

TL;DR: A new methodology for data reduction in load stepping, which removes the noise points in the domain is presented and a normalization scheme to improve the results has been proposed.
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Digital image processing of fringe patterns in photomechanics

TL;DR: A new methodology, developed for thinning fringes in photomechanics, splits fringe thinning into two distinct steps, namely, fringe edge detection and fringe skeletonization and a new approach to automating fringe ordering is proposed.