[HTML][HTML] Digital image and volume correlation for deformation and damage characterisation of fibre-reinforced composites: A review

J Holmes, S Sommacal, R Das, Z Stachurski… - Composite …, 2023 - Elsevier
Digital image and volume correlation (DIC and DVC) are increasingly being used to
measure the deformation and damage behaviour of composite materials. The …

Intelligent computational methods for damage detection of laminated composite structures for mobility applications: a comprehensive review

MM Azad, Y Cheon, I Raouf, S Khalid… - Archives of Computational …, 2024 - Springer
The mobility applications of laminated composites are constantly expanding due to their
improved mechanical properties and superior strength-to-weight ratio. Such advancements …

[HTML][HTML] Barely visible impact damage detection in composite structures using deep learning networks with varying complexities

A Tabatabaeian, B Jerkovic, P Harrison… - Composites Part B …, 2023 - Elsevier
Visual inspection is one of the most common non-destructive testing (NDT) methods that
offers a fast evaluation of surface damage in aerospace composite structures. However, it is …

[HTML][HTML] Experimental characterization of impact damage in foam-core sandwich structures using acoustic emission, optical scanning and X-ray computed tomography …

Y Wang, S Yang, Q Luo, Q Li, G Sun - Composites Part B: Engineering, 2023 - Elsevier
Sandwich structures used in transportation and energy industries are commonly subjected
to low-velocity impact in the course of manufacturing, service and maintenance, which can …

Damage localization for composite structure using guided wave signals with Gramian angular field image coding and convolutional neural networks

Y Liao, X Qing, Y Wang, F Zhang - Composite Structures, 2023 - Elsevier
Accurate detection of damage in composite structures is of great significance to ensure safe
service and avoid catastrophic accidents. In this paper, a novel damage diagnosis method …

[HTML][HTML] An advanced cement-based geocomposite with autonomous sensing and heating capabilities for enhanced intelligent transportation infrastructure

M Abedi, MJ Roshan, F Gulisano, J Shayanfar… - … and Building Materials, 2024 - Elsevier
This study introduces an innovative multifunctional cementitious-based geocomposite with
self-sensing and self-heating capability, generated for transportation infrastructural health …

A novel bolted joint model with stick-slip hysteresis properties considering pressure-dependent stiffness: theoretical and experimental investigations

H Liu, W Sun, D Du, X Liu, H Ma - Tribology International, 2023 - Elsevier
Considering the influence of normal pressure on tangential stiffness, in this paper, an
improved Iwan model with pressure-dependent stiffness is proposed to better describe …

Sensing and non-destructive testing applications of terahertz spectroscopy and imaging systems: State-of-the-art and state-of-the-practice

W Nsengiyumva, S Zhong, L Zheng… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Terahertz (THz) technology has firmly established itself as an effective sensing and
nondestructive testing (NDT) technique for the detection of substances and physicochemical …

Nonlinear dynamic analysis of bolted CFRC plates: combined nonlinear effects

X Liu, W Sun, H Liu, D Du, H Ma - International Journal of Mechanical …, 2023 - Elsevier
Based on the material nonlinearity of carbon fiber reinforced composites (CFRC) obtained in
previous work, including frequency and strain dependence of material parameters, the …

Hybrid deep convolutional networks for the autonomous damage diagnosis of laminated composite structures

MM Azad, HS Kim - Composite Structures, 2024 - Elsevier
This article presents a robust autonomous damage diagnosis method using hybrid deep
convolutional networks for the damage diagnosis of laminated composite structures …