Graphene and CNT‐based smart fiber‐reinforced composites: a review

MH Islam, S Afroj, MA Uddin… - Advanced Functional …, 2022 - Wiley Online Library
Multifunctional fiber‐reinforced polymer (FRP) composites provide an ideal platform for next‐
generation smart composites applications including structural health monitoring, electrical …

[HTML][HTML] A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring

S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …

[HTML][HTML] A review of sensing technologies for non-destructive evaluation of structural composite materials

R Gupta, D Mitchell, J Blanche, S Harper… - Journal of Composites …, 2021 - mdpi.com
The growing demand and diversity in the application of industrial composites and the current
inability of present non-destructive evaluation (NDE) methods to perform detailed inspection …

Machine learning based quantitative damage monitoring of composite structure

X Qing, Y Liao, Y Wang, B Chen, F Zhang… - International journal of …, 2022 - Taylor & Francis
Composite materials have been widely used in many industries due to their excellent
mechanical properties. It is difficult to analyze the integrity and durability of composite …

[HTML][HTML] Graphene nanoparticles as data generating digital materials in industry 4.0

MA Ali, MS Irfan, T Khan, MY Khalid, R Umer - Scientific Reports, 2023 - nature.com
One of the potential applications of 2D materials is to enhance multi-functionality of
structures and components used in aerospace, automotive, civil and defense industries …

[HTML][HTML] Strain-based delamination prediction in fatigue loaded CFRP coupon specimens by deep learning and static loading data

D Cristiani, F Falcetelli, N Yue, C Sbarufatti… - Composites Part B …, 2022 - Elsevier
Abstract Machine learning (ML) methods for the structural health monitoring (SHM) of
composite structures rely on sufficient domain knowledge as they typically demand to extract …

Transformers in Material Science: Roles, Challenges, and Future Scope

N Rane - Challenges, and Future Scope (March 26, 2023), 2023 - papers.ssrn.com
This study explores the diverse applications, challenges, and future prospects of employing
vision transformers in various material science domains, including biomaterials, ceramic …

Classification and characterization of damage in composite laminates using electrical resistance tomography and supervised machine learning

J Diaz-Escobar, P Díaz-Montiel… - … Control and Health …, 2023 - Wiley Online Library
Electrical resistance tomography (ERT) is a nondestructive evaluation technique that uses
the internal conductivity variations of materials to assess structural integrity. Due to the low …

[HTML][HTML] Moisture content prediction in polymer composites using machine learning techniques

PP Das, MM Rabby, V Vadlamudi, R Raihan - Polymers, 2022 - mdpi.com
The principal objective of this study is to employ non-destructive broadband dielectric
spectroscopy/impedance spectroscopy and machine learning techniques to estimate the …

Low-power vibrothermography detection technique for surface cracks on composite sucker rod

P Liu, C Xu, Y Zhang, Y Qin, Y Xu, J Xie… - Smart Materials and …, 2023 - iopscience.iop.org
Composite sucker rods are becoming increasingly popular in oil fields owing to their light
weight and corrosion resistance. However, various defects may appear in the manufacturing …