Automatic elimination of invalid impact-echo signals for detecting delamination in concrete bridge decks based on deep learning

Author:

Lin Shibin,Meng Liang,Zhao Guochen,Zhang Jiake,Xin Jingzhou,Cheng Yong,Cheng Shangwen,Zhai Changhai

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference33 articles.

1. 1-D CNNs for structural damage detection: verification on structural-health-monitoring benchmark data;Abdeljaber;Neurocomputing,2018

2. Standard Test Method for Measuring the P-Wave Speed and the Thickness of Concrete Plates Using the Impact-Echo Method,1998

3. Evaluation of the impact-echo method for concrete bridge decks with asphalt overlays;Azari;Transport. Res. Rec.: J. Transport. Res. Board,2019

4. Computer vision and deep learning-based data anomaly detection method for structural health monitoring;Bao;Struct. Health Monit.,2019

5. Impact-echo defect detection in reinforced-concrete bridge decks without overlays;Coleman;J. Perform. Constr. Facil.,2021

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