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 …

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 …

The negative stiffness inertial amplifier tuned mass dampers (NSIA-TMD) are introduced in
this paper. Another two novel tuned mass dampers such as negative stiffness tuned mass …

Recently machine learning (ML) based approaches have gained significant attention in
dealing with computationally intensive analyses such as uncertainty quantification of …

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 …

The stochastic buckling behaviour of sandwich plates is presented considering uncertain
system parameters (material and geometric uncertainty). The higher-order-zigzag theory …

This paper presents stochastic dynamic characterization of functionally graded shells based
on an efficient Support Vector Machine assisted finite element (FE) approach. Different shell …

This article presents a probabilistic framework to characterize the dynamic and stability
parameters of composite laminates with spatially varying micro and macro-mechanical …

Shell structures are primarily used in the aerospace and maritime sectors. Such structures
often oscillate, and undesirable oscillations can cause structural damage. So, to eliminate …

Over the last few decades, uncertainty quantification in composite materials and structures
has gained a lot of attention from the research community as a result of industrial …