Artificial neural network analysis of acoustic emission data during longtime corrosion monitoring of post-tensioned concrete structures-Reference-Cited by-同舟云学术

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Artificial neural network analysis of acoustic emission data during longtime corrosion monitoring of post-tensioned concrete structures

Published:2015 Issue: Volume: Page:237-267
ISSN:
Container-title:Acoustic Emission and Related Non-Destructive Evaluation Techniques in the Fracture Mechanics of Concrete
language:
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Author:

Proverbio E.,Calabrese L.

Publisher

Elsevier

Reference58 articles.

1. ACI 222.2R-01. Corrosion of prestressing steels;ACI,2001

2. ACI 423.4R-14 Report on Corrosion and Repair of Unbonded Single-Strand Tendons;ACI,2014

3. Stress wave scattering: friend or enemy of non-destructive testing of concrete?;Aggelis;Journal of Solid Mechanics and Materials Engineering,2008

4. Analysis of acoustic emission signals generated from SCC propagation;Alvarez;Corrosion Science,2012

5. Signal processing and pattern recognition of AE signatures;Anastasopoulos,2007

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intensity Analysis Method of Acoustic Emission Signals for the Damage Monitoring of Post-Tensioned Concrete Beams;Materials;2024-08-10

2. Clustering analysis of acoustic emission signals in the monitoring of stone monuments: case of the freeze‒thaw deterioration of tuffs;Heritage Science;2023-06-07

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