Graphene and CNT‐based smart fiber‐reinforced composites: a review
Multifunctional fiber‐reinforced polymer (FRP) composites provide an ideal platform for next‐
generation smart composites applications including structural health monitoring, electrical …
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 …
(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
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 …
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 …
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
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 …
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 …
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 …
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 …
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
The principal objective of this study is to employ non-destructive broadband dielectric
spectroscopy/impedance spectroscopy and machine learning techniques to estimate the …
spectroscopy/impedance spectroscopy and machine learning techniques to estimate the …
Low-power vibrothermography detection technique for surface cracks on composite sucker rod
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 …
weight and corrosion resistance. However, various defects may appear in the manufacturing …