An application of Structural Health Monitoring system based on FBG sensors to offshore wind turbine support structure model

被引:91
|
作者
Mieloszyk, Magdalena [1 ]
Ostachowicz, Wieslaw [1 ,2 ]
机构
[1] Polish Acad Sci, Inst Fluid Flow Machinery, Mech Intelligent Struct Dept, 14 Fiszera St, PL-80231 Gdansk, Poland
[2] Warsaw Univ Technol, Fac Automot & Construct Machinery, 84 Narbutta St, PL-02524 Warsaw, Poland
关键词
Offshore wind turbine support structure; Fibre Bragg grating; Structural Health Monitoring; Damage detection and localisation; BRAGG GRATING SENSORS; MODAL IDENTIFICATION; VIBRATION; RESPONSES; BRIDGE;
D O I
10.1016/j.marstruc.2016.10.006
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The paper presents an application of Structural Health Monitoring system based on Fibre Bragg Grating sensors dedicated to an offshore wind turbine support structure (tripod) model. The experimental investigation was performed in a water basin for the wind turbine model fixed to a turntable that allowed to change the angle between the tripod legs and a wave generator direction. During measurements the structure was excited by artificial waves and rotor blades rotating simulating effect of wind blowing with different strength. The excitation simulated environmental loading typical for offshore wind turbine. One of the tripod's upper braces contained a flange simulating artificial circumferential crack occurrence. For the structure under simulating environmental condition four damage indexes (relative and absolute) were developed that allowed to detect the damage and localise it with accuracy to the tripod's leg. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:65 / 86
页数:22
相关论文
共 50 条
  • [31] Design of Offshore Wind Turbine Foundation Monitoring System Based on Excel
    Zhang Yong-li
    Li Jie
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [32] Strength analysis of the support structure of the offshore wind turbine
    Niklas, K.
    Kozak, J.
    TOWARDS GREEN MARINE TECHNOLOGY AND TRANSPORT, 2015, : 829 - 833
  • [33] FBG Sensors and Signal-Based Detection Method for Failure Detection of an Offshore Wind Turbine Grouted Connection
    Mueller, Nathalie
    Kraemer, Peter
    Leduc, Dominique
    Schoefs, Franck
    INTERNATIONAL JOURNAL OF OFFSHORE AND POLAR ENGINEERING, 2019, 29 (01) : 1 - 7
  • [34] Structural design of an adaptable jacket offshore wind turbine support structure for deeper waters
    Yeter, B.
    Garbatov, Y.
    Guedes Soares, C.
    MARITIME TECHNOLOGY AND ENGINEERING 3, VOLS 1-2, 2016, : 583 - 594
  • [35] STRUCTURAL HEALTH MONITORING DATA ANALYSIS FOR AGEING FIXED OFFSHORE WIND TURBINE STRUCTURES
    Yeter, Baran
    Garbatov, Yordan
    Soares, Carlos Guedes
    PROCEEDINGS OF ASME 2021 40TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING (OMAE2021), VOL 2, 2021,
  • [36] An application of neural network for Structural Health Monitoring of an adaptive wing with an array of FBG sensors
    Mieloszyk, Magdalena
    Krawczuk, Marek
    Skarbek, Lukasz
    Ostachowicz, Wieslaw
    9TH INTERNATIONAL CONFERENCE ON DAMAGE ASSESSMENT OF STRUCTURES (DAMAS 2011), 2011, 305
  • [37] Structural Health Monitoring of Offshore Wind Turbines
    Tewolde S.
    Futter D.
    VDI Berichte, 2022, 2022 (2379): : 739 - 756
  • [38] Application of FBG Sensors in High-Pile Wharf Structure Monitoring System
    Xu, Jiashuai
    Ge, Guangshuang
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, 2017, 53 : 43 - 56
  • [39] Condition Health Monitoring of Offshore Wind Turbine based on Wireless Sensor Network
    Fu Zhixin
    Yuan Yue
    2012 CONFERENCE ON POWER & ENERGY - IPEC, 2012, : 649 - 654
  • [40] Dual scale structural health monitoring system combining FBG sensors and laser scanning
    Lima, Hugo F.
    Fatima Domingues, M.
    Nogueira, Rogerio N.
    Andre, Paulo S.
    Pinto, Joao L.
    O3A: OPTICS FOR ARTS, ARCHITECTURE, AND ARCHAEOLOGY II, 2009, 7391