Laboratory tests on local damage detection for jacket-type offshore structures using optical FBG sensors based on statistical approaches SCIE SCOPUS

Cited 13 time in WEB OF SCIENCE Cited 14 time in Scopus
Title
Laboratory tests on local damage detection for jacket-type offshore structures using optical FBG sensors based on statistical approaches
Author(s)
Yi, Jin-Hak
KIOST Author(s)
Yi, Jin Hak(이진학)
Publication Year
2016-09-15
Abstract
In this study, a local damage detection based on statistical approach for jacket-type offshore structures by principal component analysis (PCA) and linear adaptive filter (LAF) techniques using strain response data measured by FBG sensors was proposed while dynamic responses are being popularly utilized for damage detection of civil infrastructures including jacket-type offshore structures. In addition, environmental effects due to variations in temperature and external loading were intensively investigated and an efficient remedy was proposed using the nonparametric PCA and LAF models. Unlike many existing statistical damage detection methods, the mean of residual values eliminating the environmental effects was utilized as damage index for rational for enhancing the normality based on the central limit theorem and the normality was first checked before damage estimation using the mean of residual values. Laboratory tests for a scaled tidal current power plant structure, one of many jacket-type offshore structures, were conducted to investigate the technical feasibility of the proposed method for damage detection and localization. It was found that the PCA technique could more efficiently eliminate undesired environmental effects contained in the measurement data from FBG sensors without any additional information on the environmental changes, resulting in more damage-sensitive features under various environmental changes. (C) 2016 Elsevier Ltd. All rights reserved.
ISSN
0029-8018
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/1436
DOI
10.1016/j.oceaneng.2016.07.060
Bibliographic Citation
OCEAN ENGINEERING, v.124, pp.94 - 103, 2016
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Subject
IDENTIFICATION; PLATFORMS; RESPONSES; BRIDGE; MODEL
Keywords
Jacket structure; Fiber Bragg grating sensor; Linear adaptive filter model; Principal component analysis model; Statistical damage assessment
Type
Article
Language
English
Document Type
Article
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Related Researcher
Research Interests

Ocean Energy-Tidal Current Energy Converter System,Infrastructure Management-Structural Health Monitoring,Offshore Wind,해양에너지-조류발전시스템,시설물 유지관리-구조건전성 평가,해상풍력

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