Electromechanical impedance-based long-term SHM for jacket-type tidal current power plant structure SCIE SCOPUS KCI

Cited 15 time in WEB OF SCIENCE Cited 16 time in Scopus
Title
Electromechanical impedance-based long-term SHM for jacket-type tidal current power plant structure
Author(s)
Min, Jiyoung; Yi, Jin-Hak; Yun, Chung-Bang
KIOST Author(s)
Yi, Jin-Hak(이진학)
Alternative Author(s)
이진학
Publication Year
2015-02
Abstract
Jacket-type offshore structures are always exposed to severe environmental conditions such as salt, high speed of current, wave, and wind compared with other onshore structures. In spite of the importance of maintaining the structural integrity for an offshore structure, there are few cases to apply a structural health monitoring (SHM) system in practice. The impedance-based SHM is a kind of local SHM techniques and to date, numerous techniques and algorithms have been proposed for local SHM of real-scale structures. However, it still requires a significant challenge for practical applications to compensate unknown environmental effects and to extract only damage features from impedance signals. In this study, the impedance-based SHM was carried out on a 1/20-scaled model of an Uldolmok current power plant structure in Korea under changes in temperature and transverse loadings. Principal component analysis (PCA)-based approach was applied with a conventional damage index to eliminate environmental changes by removing principal components sensitive to them. Experimental results showed that the proposed approach is an effective tool for long-term SHM under significant environmental changes.
ISSN
1738-1584
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/2546
DOI
10.12989/sss.2015.15.2.283
Bibliographic Citation
SMART STRUCTURES AND SYSTEMS, v.15, no.2, pp.283 - 297, 2015
Publisher
TECHNO-PRESS
Subject
TEMPERATURE; ADMITTANCE
Keywords
piezoelectric sensors; electromechanical impedance; temperature; load; structural health monitoring; principal component analysis
Type
Article
Language
English
Document Type
Article
Publisher
TECHNO-PRESS
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