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
More filters
Journal ArticleDOI
Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
TL;DR: In this article, the authors present a concise state-of-the-art review along with an exhaustive comparative investigation on surrogate models for critical comparative assessment of uncertainty in natural frequencies of composite plates on the basis of computational efficiency and accuracy.
Journal ArticleDOI
A critical assessment of Kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells
TL;DR: In this paper, a critical comparative assessment of Kriging model variants for surrogate based uncertainty propagation considering stochastic natural frequencies of composite doubly curved shells is presented, where the effect of noise in uncertainty propagation is addressed by using the Stochastic kriging.
Journal ArticleDOI
Probiotics - the versatile functional food ingredients.
Gareth Gordon Syngai,Ragupathi Gopi,Rupjyoti Bharali,Sudip Dey,G.M. Alagu Lakshmanan,Giasuddin Ahmed +5 more
TL;DR: The microorganisms frequently used as probiotics in human and animal welfare has been described, and the necessary criteria required to be fulfilled for their use in humans on the one hand and on the other as microbial feed additives in animal husbandry are highlighted.
Journal ArticleDOI
A new rapid method of air‐drying for scanning electron microscopy using tetramethylsilane
TL;DR: A new rapid air-drying technique which gives results comparable to critical point‐drying is described for scanning electron microscopy, using a trematode parasite, Homalogaster paloniae, as a test specimen.
Journal ArticleDOI
Uncertain natural frequency analysis of composite plates including effect of noise – A polynomial neural network approach
Sudip Dey,S. Naskar,Tanmoy Mukhopadhyay,Uwe Gohs,Axel Spickenheuer,Lars Bittrich,Srinivas Sriramula,Sondipon Adhikari,Gert Heinrich,Gert Heinrich +9 more
TL;DR: The effect of noise on a PNN based uncertainty quantification algorithm is explored and the convergence of the proposed algorithm for stochastic natural frequency analysis of composite plates is verified and validated with original finite element method (FEM).