In recent years, composite materials have gained popularity in numerous high-tech and
engineering applications, owing to their outstanding physico-mechanical properties. They …

This paper reports on a novel metamodel for impact detection, localization and
characterization of complex composite structures based on Convolutional Neural Networks …

The triply periodic minimal surface (TPMS) represents an engineered structure
characterized by its mathematically controllable geometric topology and exceptional …

Achieving superior properties of vibration suppression at low-frequency range, yet with high
load-bearing capabilities in lightweight structural designs is still a challenge. In this work, we …

Preliminaries convolutional neural network (CNN) applications have recently emerged in
structural health monitoring (SHM) systems focusing mostly on vibration analysis. However …

Realizing superior mechanical performance and outstanding multifunction features, yet with
lightweight configuration, simultaneously, has been always a fundamental challenge. Here …

Pyramidal lattice sandwich structure (PLSS) exhibits high stiffness and strength-to-weight
ratio which can be effectively utilized for designing light-weight load bearing structures for …

The application of composite structures as elements of machines and vehicles working
under various operational conditions causes degradation and occurrence of damage …

This work investigates the dynamic impact response of tubular composite structures
with/without honeycomb sandwich core under transverse low-velocity impact (LVI) and …

Wavelet transform as a novel signal processing method for singularity detection has been
introduced into vibration-based nondestructive testing (NDT) methods. However, for plate …