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 …
Buckling and free vibration analysis of bio-inspired laminated sandwich plates with helicoidal/Bouligand face sheets containing softcore
Helicoidal laminates inspired by mantis shrimp crustacean can sustain higher loads
compared to conventional laminated structures. However, there is still a lack of bending …
compared to conventional laminated structures. However, there is still a lack of bending …
Stochastic oblique impact on composite laminates: a concise review and characterization of the essence of hybrid machine learning algorithms
Due to the absence of adequate control at different stages of complex manufacturing
process, material and geometric properties of composite structures are often uncertain. For a …
process, material and geometric properties of composite structures are often uncertain. For a …
A two-step weighting regularization method for stochastic excitation identification under multi-source uncertainties based on response superposition-decomposition …
Excitation identification has received considerable attention because of its importance in
safety assessment and structural design. This paper proposed a power spectral density …
safety assessment and structural design. This paper proposed a power spectral density …
On accurately capturing the through-thickness variation of transverse shear and normal stresses for composite beams using FSDT coupled with GPR
Available shear deformation theories (SDTs) in the literature have their own merits and
demerits. Among SDTs, first-order shear deformation theory (FSDT) and higher-order shear …
demerits. Among SDTs, first-order shear deformation theory (FSDT) and higher-order shear …
Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping
Despite the tremendous capabilities of Molecular dynamics (MD) simulations, they suffer
from the limitation of computationally intensive and time-consuming nature. This hinders the …
from the limitation of computationally intensive and time-consuming nature. This hinders the …
Flexoelectricity and surface effects on coupled electromechanical responses of graphene reinforced functionally graded nanocomposites: A unified size-dependent …
Owing to inhomogeneous strain and high surface-to-volume ratio in nanostructures, it is
imperative to account for the flexoelectricity as well as surface effect while analyzing the size …
imperative to account for the flexoelectricity as well as surface effect while analyzing the size …
[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 …
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 …