State of the art of composite structures in non-deterministic framework: a review
The main objective of the present paper is to draw the attention of researchers towards the
analyses of composite structures in non-deterministic environment. The various …
analyses of composite structures in non-deterministic environment. The various …
Reliability-based design optimization of laminated composite structures under delamination and material property uncertainties
Delamination is a major type of defects from manufacturing process in laminated composite
structures, exhibiting uncertain characteristics which are represented by mixed random …
structures, exhibiting uncertain characteristics which are represented by mixed random …
[HTML][HTML] Multi-fidelity machine learning based uncertainty quantification of progressive damage in composite laminates through optimal data fusion
RS Chahar, T Mukhopadhyay - Engineering Applications of Artificial …, 2023 - Elsevier
Recently machine learning (ML) based approaches have gained significant attention in
dealing with computationally intensive analyses such as uncertainty quantification of …
dealing with computationally intensive analyses such as uncertainty quantification of …
[HTML][HTML] Stochastic dynamic analysis of twisted functionally graded plates
This paper presents a stochastic dynamic analysis of functionally graded plates by following
an efficient neural network based approach coupled with the finite element method. An …
an efficient neural network based approach coupled with the finite element method. An …
Stochastic buckling analysis of sandwich plates: the importance of higher order modes
The stochastic buckling behaviour of sandwich plates is presented considering uncertain
system parameters (material and geometric uncertainty). The higher-order-zigzag theory …
system parameters (material and geometric uncertainty). The higher-order-zigzag theory …
Machine learning based stochastic dynamic analysis of functionally graded shells
This paper presents stochastic dynamic characterization of functionally graded shells based
on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell …
on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell …
Bioinspired basalt fiber composites with higher impact resistance through coupling sinusoidal and helical structures inspired by mantis shrimp
The imitation of natural and biological structures for the manufacturing of artificial materials
provides a series of feasible pathways towards designing materials with excellent …
provides a series of feasible pathways towards designing materials with excellent …
[HTML][HTML] Probabilistic micromechanical spatial variability quantification in laminated composites
This article presents a probabilistic framework to characterize the dynamic and stability
parameters of composite laminates with spatially varying micro and macro-mechanical …
parameters of composite laminates with spatially varying micro and macro-mechanical …
Stochastic multi-scale modeling of carbon fiber reinforced composites with polynomial chaos
A stochastic multi-scale modeling framework for uncertainty quantification of carbon fiber
reinforced composites with a non-intrusive method called Polynomial Chaos Decomposition …
reinforced composites with a non-intrusive method called Polynomial Chaos Decomposition …
Fatigue life prediction of glass fiber reinforced epoxy composites using artificial neural networks
In this work, fiber-reinforced composites, consisting of glass fibers with an epoxy matrix,
have been considered to assess their fatigue life under combined rotating bending loads …
have been considered to assess their fatigue life under combined rotating bending loads …