Self‐adaptive real‐time clustering analysis and damage pattern recognition for steel tube confined reinforced concrete structures through acoustic emission signals-Reference-Cited by-同舟云学术

Self‐adaptive real‐time clustering analysis and damage pattern recognition for steel tube confined reinforced concrete structures through acoustic emission signals

Published:2022-08-17 Issue:11 Volume:29 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Structural Contr & Hlth

Author:

Du Fangzhu¹²^ORCID,Li Xiuling¹²,Li Dongsheng³^ORCID,Shen Wei⁴

Affiliation:

1. School of Civil Engineering Shandong Jianzhu University Jinan Shandong China

2. Key Laboratory of Building Structural Retrofitting and Underground Space Engineering (Shandong Jianzhu University) Ministry of Education Jinan Shandong China

3. School of Civil Engineering Dalian University of Technology Dalian Liaoning China

4. School of Civil Engineering and Architecture Guangxi University Nanning Guangxi China

Funder

Shandong Jianzhu University

Publisher

Hindawi Limited

Subject

Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.3071

Reference38 articles.

1. Quasi-static indentation and acoustic emission to analyze failure and damage of bio-composites subjected to low-velocity impact