An artificial intelligence-based conductivity prediction and feature analysis of carbon fiber reinforced cementitious composite for non-destructive structural health monitoring-Reference-Cited by-同舟云学术

An artificial intelligence-based conductivity prediction and feature analysis of carbon fiber reinforced cementitious composite for non-destructive structural health monitoring

Published:2022-09 Issue: Volume:266 Page:114578
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Dong Wei,Huang Yimiao,Lehane Barry,Ma Guowei

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference55 articles.

1. Shetty M. Concrete technology. S. chand & company LTD; 2005. ISBN: 978-81-219-0003-4.

2. Structural health monitoring: technological advances to practical implementations [scanning the issue];Lynch;Proc IEEE,2016

3. A case study on strain gauge measurements on large post-tensioned concrete beams of a railway support structure;De Backer;Insight - Non-Destructive Test Condit Monit,2003

4. Fibre Bragg gratings in structural health monitoring—present status and applications;Majumder;Sens Actuat A,2008

5. Crack detection application for fiber reinforced concrete using BOCDA-based optical fiber strain sensor;Imai;J Struct Eng,2010

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