Mechanical metamaterials are engineered materials with unconventional mechanical
behavior that originates from artificially programmed microstructures along with intrinsic …

The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …

This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …

In the present work, a surrogate model based on the Random Forest (RF) machine learning
is employed for transforming the First-order Shear Deformation Theory (FSDT) based …

Lightning strike damage can severely affect the thermo-mechanical performance of
composite laminates. It is essential to quantify the effect of lightning strikes considering the …

Despite the tremendous capabilities of Molecular dynamics (MD) simulations, they suffer
from the limitation of computationally intensive and time-consuming nature. This hinders the …

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

First-order shear deformation theory (FSDT) is less accurate compared to higher-order
theories like higher-order zigzag theory (HOZT). In case of large-scale simulation-based …

The present article outlines a probabilistic investigation of the uniaxial tensile behaviour of
twisted bilayer graphene (tBLG) structures. In this regard, the twist angle (θ) and temperature …

The increased demand for superior materials has highlighted the need of investigating the
mechanical properties of composites to achieve enhanced constitutive relationships. Fiber …