[HTML][HTML] Improving aircraft performance using machine learning: A review
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
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 …
Damage characterization of CFRP laminates using acoustic emission and digital image correlation: Clustering, damage identification and classification
LB Andraju, G Raju - Engineering Fracture Mechanics, 2023 - Elsevier
Damage mechanisms in composite laminates are quite complex, and it is necessary to
perceive their effects on the degradation of laminate mechanical properties. This work …
perceive their effects on the degradation of laminate mechanical properties. This work …
Determination of vehicle loads on bridges by acoustic emission and an improved ensemble artificial neural network
Bridges are significant hubs in the US national economy, facilitating the movement of goods
and vehicles. The condition of bridges in the state of South Carolina is currently under …
and vehicles. The condition of bridges in the state of South Carolina is currently under …
Damage assessment of smart composite structures via machine learning: a review
Composite materials are heterogeneous in nature and suffer from complex non-linear
modes of failure, such as delamination, matrix crack, fiber-breakage, and voids, among …
modes of failure, such as delamination, matrix crack, fiber-breakage, and voids, among …
Unsupervised acoustic emission data clustering for the analysis of damage mechanisms in glass/polyester composites
In using acoustic emissions (AEs) for mechanical diagnostics, one major problem is the
discrimination of events due to different types of damage occurring during loading of …
discrimination of events due to different types of damage occurring during loading of …
[HTML][HTML] Localisation and identification of fatigue matrix cracking and delamination in a carbon fibre panel by acoustic emission
Abstract Background The use of Acoustic Emission (AE) as a Structural Health Monitoring
(SHM) technique is very attractive thanks to its ability to detect not only damage sources in …
(SHM) technique is very attractive thanks to its ability to detect not only damage sources in …
Advanced damage detection technique by integration of unsupervised clustering into acoustic emission
The use of acoustic emission (AE) technique for damage diagnostic is typically challenging
due to difficulties associated with discrimination of events that occur during different stages …
due to difficulties associated with discrimination of events that occur during different stages …
Prediction of delamination growth in laminated composites using acoustic emission and cohesive zone modeling techniques
Mode I delamination is the most common failure mode in laminated composite materials.
Determination of the crack growth has a vital role in the damage tolerance analyses of the …
Determination of the crack growth has a vital role in the damage tolerance analyses of the …
[HTML][HTML] Development of an artificial neural network processing technique for the analysis of damage evolution in pultruded composites with acoustic emission
Acoustic Emission (AE) is a promising technique for the damage detection and the real-time
structural monitoring of composite lightweight structures; however data interpretation and …
structural monitoring of composite lightweight structures; however data interpretation and …