S
Sudip Dey
Researcher at National Institute of Technology, Silchar
Publications - 179
Citations - 2642
Sudip Dey is an academic researcher from National Institute of Technology, Silchar. The author has contributed to research in topics: Finite element method & Monte Carlo method. The author has an hindex of 28, co-authored 155 publications receiving 1956 citations. Previous affiliations of Sudip Dey include North Eastern Hill University & Leibniz Institute for Neurobiology.
Papers
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Spatial vulnerability analysis for the first ply failure strength of composite laminates including effect of delamination
TL;DR: In this article, a finite element model is developed based on different failure criteria of composites, such as maximum stain, maximum stress and Tsai-Hill failure criteria, which can render a clear idea about the locational sensitivity of the loading positions in a two dimensional space.
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Stochastic dynamic stability analysis of composite curved panels subjected to non-uniform partial edge loading
TL;DR: In this paper, the stochastic dynamic stability analysis of laminated composite curved panels under non-uniform partial edge loading is studied using finite element analysis, and the moving least square method is employed as a surrogate of the actual finite element model to reduce the computational cost.
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Stochastic low-velocity impact on functionally graded plates: Probabilistic and non-probabilistic uncertainty quantification
TL;DR: In this article, the effect of source-uncertainties on low-velocity impact of functionally graded material (FGM) plates following a coupled surrogate based finite element simulation approach is quantified.
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Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates
Sudip Dey,Tanmoy Mukhopadhyay,Axel Spickenheuer,Sondipon Adhikari,Gert Heinrich,Gert Heinrich +5 more
TL;DR: In this paper, a bottom up surrogate based approach is employed to quantify the variability in free vibration responses of composite cantilever plates due to uncertainty in ply orientation angle, elastic modulus and mass density.
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Thermal uncertainty quantification in frequency responses of laminated composite plates
TL;DR: In this article, a generalized high dimensional model representation (GHDMR) is introduced to ensure the hierarchical orthogonality of high dimensional models component functions. But the model is not suitable for modeling the thermal, ply-level and material uncertainty propagation in frequency responses of laminated composite plates.