Abstract Machine learning models are increasingly used in many engineering fields thanks
to the widespread digital data, growing computing power, and advanced algorithms. The …

This review article highlights state-of-the-art data-driven techniques to discover, encode,
surrogate, or emulate constitutive laws that describe the path-independent and path …

Abstract A BCMO-ANN algorithm for vibration and buckling optimization of functionally
graded porous (FGP) microplates is proposed in this paper. The theory is based on a unified …

Abstract Machine learning (ML) has evolved as a technology used in even broader domains,
ranging from spam detection to space exploration, as a result of the boom in available data …

Continuous fiber-reinforced composites are increasingly used in civil aviation for their
superior mechanical properties and light weight. However, the process-induced deformation …

Analyzing and modeling the constitutive behavior of materials is a core area in materials
sciences and a prerequisite for conducting numerical simulations in which the material …

This paper presents a novel approach for solving direct problems in linear elasticity
involving plate and shell structures. The method relies upon a combination of Physics …

Fibre composite materials (FCMs) are widely used in the aerospace, military defence, and
engineering manufacturing industries due to their high strength and high modulus …

During the last few decades, industries such as aerospace and wind energy (among others)
have been remarkably influenced by the introduction of high-performance composites. One …

Autonomous underwater helicopters (AUHs) are complex electromechanical systems
consisting of multiple interconnected sub-disciplines, posing a significant challenge for …