Machine learning based crack mode classification from unlabeled acoustic emission waveform features-Reference-Cited by-同舟云学术

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Machine learning based crack mode classification from unlabeled acoustic emission waveform features

Published:2019-07 Issue: Volume:121 Page:42-57
ISSN:0008-8846
Container-title:Cement and Concrete Research
language:en
Short-container-title:Cement and Concrete Research

Author:

Das Avik Kumar^ORCID,Suthar Deepak,Leung Christopher K.Y.

Publisher

Elsevier BV

Subject

General Materials Science,Building and Construction

Reference52 articles.

1. Electrical impedance tomographic methods for sensing strain fields and crack damage in cementitious structures;Hou;J. Intell. Mater. Syst. Struct.,2009

2. Robust self-healing concrete for sustainable infrastructure;Li;J. Adv. Concr. Technol.,2012

3. Federal highway administration issues notice about national bridge inspection standards review;Anonymous,2014

4. Causes, evaluation and repair of cracks in concrete structures;ACI,1998

5. Long-distance precision inspection method for bridge cracks with image processing;Li;Autom. Constr.,2014

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