Damage characterization of polymer-based composite materials: Multivariable analysis and wavelet transform for clustering acoustic emission data
By A. Marec, J. Thomas, R. El Guerjouma. 2008
373 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/b0dd3212c85cf16245328b5fdacd864e3f81b6a4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- P. Duchene
- A. Ayadi
- P. Krawczak
- Thomas Blumensath
- Richard P. Boardman
- Ander Biguri
- Shuncong Zhong
- S. Chaki
In Mechanics of Materials
- P. Duchene
- A. Ayadi
- Tung Lik Lee
- P. Krawczak
- Thomas Blumensath
- Richard P. Boardman
- Jiawei Mi
- Ander Biguri
Citations in the corpus
- Damage characterization of laminated composites using acoustic emission: A review (2020, neutral): “FCM and GKM have been widely used for damage clustering in composite materials under different loading conditions such as tensile [36,85,86], creep tensile [87], 3 PB [7] and fracture mode I [61, 88].”
- Successes and challenges in non-destructive testing of aircraft composite structures (2020, background): “For instance, the AE raw data recorded from different defects in a composite material are compared in.(107) They reported that the amplitude of AE”
- A review of non-destructive techniques used for mechanical damage assessment in polymer composites (2018, background): “a neural network) [36]; in that case six different AE classes were obtained for glass/polyester laminates under fatigue loading.”
- Non-destructive testing and evaluation of composite materials/structures: A state-of-the-art review (2020, background): “,(69) Marec et al.(70) and Sikdar et al.”