Artificial neural network analysis of acoustic emission data during longtime corrosion monitoring of posttensioned 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 posttensioned concrete structures

Published:2015 Issue: Volume: Page:225-256
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

Reference57 articles.

1. ACI 222.2R-01. Corrosion of prestressing steels. ACI Committee 222. ACI. (2014). ACI 423.4R-14 Report on Corrosion and Repair of Unbonded Single-Strand Tendons, ACI Committee 423;ACI,2001

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

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

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

5. Studies in classification, data analysis and knowledge organization;Batagelj,2006

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