Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
This paper presents a concise state-of-the-art review along with an exhaustive comparative
investigation on surrogate models for critical comparative assessment of uncertainty in …
investigation on surrogate models for critical comparative assessment of uncertainty in …
Application of Hashin–Shtrikman bounds homogenization model for frequency analysis of imperfect FG bio-composite plates
G Song, Y Zou, Y Nie, M Habibi, I Albaijan… - Journal of the Mechanical …, 2024 - Elsevier
Despite abundant theoretical investigations on the dynamic behavior of functionally graded
(FG) structures, the study on frequency analysis of FG bio-composite structures is limited. FG …
(FG) structures, the study on frequency analysis of FG bio-composite structures is limited. FG …
On exploiting machine learning for failure pattern driven strength enhancement of honeycomb lattices
Honeycomb lattices exhibit remarkable structural properties and novel functionalities, such
as high specific energy absorption, excellent vibroacoustic properties, and tailorable specific …
as high specific energy absorption, excellent vibroacoustic properties, and tailorable specific …
A review on stochastic multiscale analysis for FRP composite structures
Fibre reinforced polymer (FRP) composites have been increasingly applied in engineering
structures especially for achieving high demands on structural performance, but they are …
structures especially for achieving high demands on structural performance, but they are …
A critical assessment of Kriging model variants for high-fidelity uncertainty quantification in dynamics of composite shells
This paper presents a critical comparative assessment of Kriging model variants for
surrogate based uncertainty propagation considering stochastic natural frequencies of …
surrogate based uncertainty propagation considering stochastic natural frequencies of …
Neural network assisted multiscale analysis for the elastic properties prediction of 3D braided composites under uncertainty
The stiffness prediction of textile composites has been studied intensively over the last 20
years. It is the complex yarn architecture that adds exceptional properties but also requires …
years. It is the complex yarn architecture that adds exceptional properties but also requires …
Uncertainty quantification in buckling strength of variable stiffness laminated composite plate under thermal loading
In this paper, thermal buckling analysis of variable stiffness composite laminate (VSCL) is
carried out. The first-order shear deformation theory is adopted with eight noded …
carried out. The first-order shear deformation theory is adopted with eight noded …
Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties
This paper presents a stochastic approach to study the natural frequencies of thin-walled
laminated composite beams with spatially varying matrix cracking damage in a multi-scale …
laminated composite beams with spatially varying matrix cracking damage in a multi-scale …
Effective in-plane elastic moduli of quasi-random spatially irregular hexagonal lattices
T Mukhopadhyay, S Adhikari - International Journal of Engineering Science, 2017 - Elsevier
An analytical framework is developed for predicting the effective in-plane elastic moduli
(longitudinal and transverse Young's modulus, Poisson's ratios and shear modulus) of …
(longitudinal and transverse Young's modulus, Poisson's ratios and shear modulus) of …