Multi-type classification and 3D visualization of internal defects in concrete plates based on a hybrid method of deep learning algorithm and bending mode analysis for acoustic vibration signals-Reference-Cited by-同舟云学术

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Multi-type classification and 3D visualization of internal defects in concrete plates based on a hybrid method of deep learning algorithm and bending mode analysis for acoustic vibration signals

Published:2024-06 Issue: Volume:222 Page:110049
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Shang Gao,Chen Jun^ORCID

Funder

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference30 articles.

1. Non-contact NDT of concrete structures using air coupled sensors;Zhu,2008

2. Harmonic vibration testing for damage detection and localization in concrete;Bao;Struct Health Monit,2019

3. Detecting delaminations in concrete slabs with and without overlays using the impact-echo method;Sansalone;ACI Mater J,1989

4. Rapid damage assessment of concrete bridge deck leveraging an automated double-sided bounce system;Kang;Autom Constr,2022

5. ASTM C1383-1998a. Standard test method for measuring the P-wave speed and the thickness of concrete plates using the impact-echo method. West Conshohocken, PA, 2000.

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