Performance Alarming for Stay Cables Based on a Frequency–Deformation Relationship Model-Reference-Cited by-同舟云学术

Performance Alarming for Stay Cables Based on a Frequency–Deformation Relationship Model

Published:2022-09 Issue:9 Volume:27 Page:
ISSN:1084-0702
Container-title:Journal of Bridge Engineering
language:en
Short-container-title:J. Bridge Eng.

Author:

Li Jin-Xin¹^ORCID,Yi Ting-Hua²,Qu Chun-Xu³,Liu Hua⁴,Zhang Guan-Hua⁵,Han Ji-Gang⁶

Affiliation:

1. Ph.D. Candidate, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China. ORCID: .

2. Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China (corresponding author).

3. Associate Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116023, China.

4. Professor, China Railway Bridge and Tunnel Technologies Co., Ltd., Nanjing 210061, China.

5. Professor, Liaoning Provincial Transportation Planning and Design Institute Co., Ltd., Shenyang 110166, China.

6. Senior Engineer, Liaoning Provincial Transportation Planning and Design Institute Co., Ltd., Shenyang 110166, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29BE.1943-5592.0001926

Reference27 articles.

1. Burg, J. P. 1975. Maximum entropy spectral analysis. Stanford, CA: Stanford Univ.

2. The application of principal component analysis and kernel density estimation to enhance process monitoring

3. Three-Dimensional Localization of Defects in Stay Cables Using Magnetic Flux Leakage Methods

4. Craparo, R. M. 2007. “Significance level.” In Vol. 3 of Encyclopedia of measurement and statistics, edited by N. J. Salkind, 889–891. Thousand Oaks, CA: Sage.

5. A cointegration approach for cable anomaly warning based on structural health monitoring data: An application to cable-stayed bridges

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