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 …
On the use of machine learning for damage assessment in composite structures: a review
RF Ribeiro Junior, GF Gomes - Applied Composite Materials, 2024 - Springer
Composite materials are those formed by combining two or more different materials to take
advantage of the best characteristics of each one. However, due to this heterogeneity …
advantage of the best characteristics of each one. However, due to this heterogeneity …
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 …
service and avoid catastrophic accidents. In this paper, a novel damage diagnosis method …
Damage localization using acoustic emission sensors via convolutional neural network and continuous wavelet transform
Due to aging structures, deterioration is becoming an essential issue in the engineering and
facility management industry. Especially for nuclear power plants, the deterioration of …
facility management industry. Especially for nuclear power plants, the deterioration of …
Damage localization and characterization using one-dimensional convolutional neural network and a sparse network of transducers
A Sattarifar, T Nestorović - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Early damage identification and continuous system monitoring save dramatically
maintenance costs and increase the lifespan of priceless structures. Convolutional neural …
maintenance costs and increase the lifespan of priceless structures. Convolutional neural …
Phased array ultrasonic inspection and automated identification of wrinkles in laminated composites
H Zhang, L Peng, H Zhang, T Zhang, Q Zhu - Composite Structures, 2022 - Elsevier
The wrinkles in composite structures degrade the mechanical properties and shorten the
service life. They are difficult to be identified with no interlayer separation inside. This paper …
service life. They are difficult to be identified with no interlayer separation inside. This paper …
A transfer learning approach for damage diagnosis in composite laminated plate using Lamb waves
Lamb wave-based damage diagnosis systems are widely regarded as a likely candidate for
real-time structural health monitoring (SHM), although analysing the Lamb wave response is …
real-time structural health monitoring (SHM), although analysing the Lamb wave response is …
Convolutional autoencoders and CGANs for unsupervised structural damage localization
The present work introduces two unsupervised data-driven methodologies for processing
Lamb waves (LWs) to localize structural damage, specifically employing convolutional …
Lamb waves (LWs) to localize structural damage, specifically employing convolutional …
Enhancing Lamb wave-based damage diagnosis in composite materials using a pseudo-damage boosted convolutional neural network approach
A Gonzalez-Jimenez, L Lomazzi… - Structural Health …, 2024 - journals.sagepub.com
Damage diagnosis of thin-walled structures has been successfully performed through
methods based on tomography and machine learning-driven methods. According to …
methods based on tomography and machine learning-driven methods. According to …
Effective combination of modeling and experimental data with deep metric learning for guided wave-based damage localization in plates
Data-driven methods have emerged as promising approaches for guided wave-based
damage localization. The success of the methods highly depends on the amount and the …
damage localization. The success of the methods highly depends on the amount and the …