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Damodar Maity
Researcher at Indian Institute of Technology Kharagpur
Publications - 103
Citations - 2319
Damodar Maity is an academic researcher from Indian Institute of Technology Kharagpur. The author has contributed to research in topics: Finite element method & Gravity dam. The author has an hindex of 20, co-authored 91 publications receiving 1770 citations. Previous affiliations of Damodar Maity include Indian Institutes of Technology & Indian Institute of Technology Guwahati.
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Optimum design configuration of Savonius rotor through wind tunnel experiments
TL;DR: In this article, wind tunnel tests were conducted to assess the aerodynamic performance of single-, two-and three-stage Savonius rotor systems with both semicircular and twisted blades.
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Experimental studies on sloshing behavior due to horizontal movement of liquids in baffled tanks
TL;DR: A series of experiments have been carried out in a developed liquid sloshing setup to estimate the pressure developed on the tank walls and the free surface displacement of water from the mean static level.
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Experimental investigation on chemically treated bamboo reinforced concrete beams and columns
TL;DR: In this paper, the feasibility of using bamboo as reinforcement in concrete is evaluated through a series of experimental investigations in the present study and the most suitable adhesive has been selected and used further to cast bamboo reinforced beams and columns.
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Effect of baffles on a partially filled cubic tank: Numerical simulation and experimental validation
TL;DR: In this paper, sloshing wave analysis for baffled and un-baffled tanks was carried out based on volume of fluid (VOF) techniques with arbitrary-Lagrangian-Eulerian (ALE) formulation which adopts the displacement of solid, the pressure and displacement in the fluid as variables to model the coupled system.
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Damage assessment of truss structures from changes in natural frequencies using ant colony optimization
TL;DR: The developed code is used to assess damages of truss like structures using first few natural frequencies and the outcomes show that the developed method can detect and estimate the amount of damages with satisfactory precision.