Automatic identification of structural modal parameters based on density peaks clustering algorithm-Reference-Cited by-同舟云学术

Automatic identification of structural modal parameters based on density peaks clustering algorithm

Published:2022-11-03 Issue:12 Volume:29 Page:
ISSN:1545-2255
Container-title:Structural Control and Health Monitoring
language:en
Short-container-title:Structural Contr & Hlth

Author:

Zhang Xiulin¹²³,Zhou Wensong¹²³,Huang Yong¹²³,Li Hui¹²³

Affiliation:

1. Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin China

2. Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin China

3. School of Civil Engineering Harbin Institute of Technology Harbin China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

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

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.3138

Reference31 articles.

1. Bayesian structural model updating using ambient vibration data collected by multiple setups

2. An innovative sensitivity-based method for structural model updating using incomplete modal data

3. Two-stage damage detection algorithms of structure using modal parameters identified from recursive subspace identification

4. A local flexibility method for vibration-based damage localization and quantification

5. Shaking table tests for the experimental verification of the effectiveness of an automated modal parameter monitoring system for existing bridges in seismic areas

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