Functionally graded multilayer shallow arch structures have gained significant attention due
to their unique mechanical properties and potential applications. This review aims to provide …

This paper investigates the dynamic instability of a functionally graded porous arch
reinforced with uniformly distributed graphene platelets (GPLs) under the combined action of …

In this study, a C 0 finite element model (FEM) based on modified third-order shear
deformation (MTSDT) theory in conjunction with a deep neural network (DNN), extreme …

In real-world engineering, uncertainty is ubiquitous within material properties, structural
geometry, load conditions, and the like. These uncertainties have substantial impacts on the …

Herein, two novel Physics Informed Neural Network (PINN) architectures are proposed for
output-only system identification and input estimation of dynamic systems. Using merely …

This paper investigates the free and forced vibration behaviours of functionally graded
graphene origami-enabled auxetic metamaterial (FG-GOEAM) beams submerged in …

In the present work, an analytical study on the asymmetric static and dynamic buckling of a
pinned-fixed functionally graded graphene nanoplatelet reinforced composite (FG-GPLRC) …

This article presents in-plane and out-of-plane free vibration analyses of functionally graded
graphene nanoplatelets reinforced composite (FG-GPLRC) arches. The arch is composed of …

In this work, a recursion reverberation-ray matrix method (RRRM) is presented to formulate
an exact and unified solution for the non-stationary responses analysis of the sandwich …

This paper proposes a hyperplane modelling technique aided polymorphic uncertainty
quantification strategy for various engineering applications. Accumulative experiences from …