Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design

A Sharma, T Mukhopadhyay, SM Rangappa… - … Methods in Engineering, 2022 - Springer
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

Stochastic buckling analysis of sandwich plates: the importance of higher order modes

RR Kumar, T Mukhopadhyay, KM Pandey… - International Journal of …, 2019 - Elsevier
The stochastic buckling behaviour of sandwich plates is presented considering uncertain
system parameters (material and geometric uncertainty). The higher-order-zigzag theory …

Machine learning based stochastic dynamic analysis of functionally graded shells

T Mukhopadhyay, PK Karsh, B Basu, S Dey - Composite Structures, 2020 - Elsevier
This paper presents stochastic dynamic characterization of functionally graded shells based
on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell …

Machine learning aided stochastic structural free vibration analysis for functionally graded bar-type structures

Q Wang, D Wu, F Tin-Loi, W Gao - Thin-Walled Structures, 2019 - Elsevier
This paper presents a machine learning aided stochastic free vibration analysis for
functionally graded (FG) bar-type structures through finite element method (FEM). The …