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Shishir Kumar Sahu

Researcher at National Institute of Technology, Rourkela

Publications -  65
Citations -  1158

Shishir Kumar Sahu is an academic researcher from National Institute of Technology, Rourkela. The author has contributed to research in topics: Finite element method & Vibration. The author has an hindex of 18, co-authored 61 publications receiving 928 citations. Previous affiliations of Shishir Kumar Sahu include Indian Institutes of Technology & Indian Institute of Technology Kharagpur.

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Research Advances in the Dynamic Stability Behavior of Plates and Shells: 1987–2005—Part I: Conservative Systems

TL;DR: In this article, the authors reviewed most of the recent research done in the field of dynamic stability/ dynamic instability/ parametric excitation /parametric resonance characteristics of structures with special attention to parametric resonance properties of plate and shell structures.
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Dynamic Stability of Laminated Composite Curved Panels with Cutouts

TL;DR: In this article, a generalized shear deformable Sanders' theory with tracers is used to analyze the dynamic stability behavior of laminated composite curved panels with cutouts subjected to in-plane static and periodic compressive loads, analyzed using the finite element method.
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Vibration of woven fiber laminated composite plates in hygrothermal environment

TL;DR: In this paper, the free vibration behavior of laminated composite plates subjected to varying temperature and moisture was investigated using both experimental and numerical analysis. But the results were limited to the case of a simple lamin...
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Vibration of composite cylindrical shallow shells subjected to hygrothermal loading-experimental and numerical results

TL;DR: In this paper, the effects of curvature ratios, lamination sequences and boundary conditions on natural frequencies of vibration under hygrothermal loading are investigated both numerically and experimentally.
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Effect of cutout on stochastic natural frequency of composite curved panels

TL;DR: In this article, support vector regression (SVR) based uncertainty quantification (UQ) algorithm in conjunction with Latin hypercube sampling is developed to achieve computational efficiency for laminated composite curved panels with cutout.