Vibration-based FE-model updating for strain history estimation of a 3MW offshore wind turbine tower

被引:0
|
作者
Amador, Sandro D. R. [1 ]
Rasmussen, Soren [2 ]
Brincker, Rune [3 ]
Rex, Simon [4 ]
Skog, Mathias [4 ]
Gjodvad, Johan F. [4 ]
机构
[1] Tech Univ Denmark, Dept Civil & Mech Engn CONSTRUCT, Civil Engn Bldg,Brovej 118, DK-2800 Lyngby, Denmark
[2] COWI AS, Parallelvej 2, DK-2800 Lyngby, Denmark
[3] Brincker Monitoring ApS, Rosenborggade 10,St th, DK-1130 Copenhagen K, Denmark
[4] Sigicom AB, Glasfibergatan 8, S-12545 Alvsjo, Sweden
关键词
D O I
10.1088/1742-6596/2647/18/182035
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
At present, the fatigue-life design of Offshore Wind Turbines (OWTs) is based on design assumptions accounting for significant uncertainties both on loading and fatigue-resistance of different vulnerable structural details. Monitoring of strain histories can potentially have a significant positive impact when estimating the remaining life of OWTs, as the uncertainties are reduced. However, strain-based monitoring approaches present the important drawbacks, that only instrumented locations can be assessed and that there tend to be accessibility issues associated with the installation process. In this paper, the initial results of a novel methodology developed to estimate strain time histories are presented. The underlying idea of such an approach is to combine an updated FE model with the vibration response histories acquired with only a few sensors to estimate the strain histories at any location of an OWT tower.
引用
收藏
页数:8
相关论文
共 42 条
  • [1] Vibration-based Structural Health Assessment of a wind Turbine Tower Using a Wind turbine Model
    Kim, Wonsul
    Yi, Jin-Hak
    Kim, Jeong-Tae
    Park, Jae-Hyung
    STRUCTURAL HEALTH MONITORING - FROM SENSING TO DIAGNOSIS AND PROGNOSIS, 2017, 188 : 333 - 339
  • [2] The design and simulation of the 3MW direct drive wind turbine's controller to decrease vibration of the tower
    Yang Zhenghou
    Zhang Guoqiang
    Wen Yuan
    Deng Ying
    2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2017, : 52 - 55
  • [3] Vibration-based health monitoring of the offshore wind turbine tower using machine learning with Bayesian optimisation
    Xiang, Zhi-Qian
    Wang, Jin-Ting
    Wang, Wei
    Pan, Jian-Wen
    Liu, Jun-Feng
    Le, Zhi-Ji
    Cai, Xiao-Ying
    OCEAN ENGINEERING, 2024, 292
  • [4] Predictions for Bending Strain at the Tower Bottom of Offshore Wind Turbine Based on the LSTM Model
    Lee, Songjune
    Kang, Seungjin
    Lee, Gwang-Se
    ENERGIES, 2023, 16 (13)
  • [5] Numerical evaluation for vibration-based damage detection in wind turbine tower structure
    Tuan-Cuong Nguyen
    Thanh-Canh Huynh
    Kim, Jeong-Tae
    WIND AND STRUCTURES, 2015, 21 (06) : 657 - 675
  • [6] Operational Vibration-Based Response Estimation for Offshore Wind Lattice Structures
    van der Male, P.
    Lourens, E.
    Structural Health Monitoring and Damage Detection, Vol 7, 2015, : 83 - 96
  • [7] Vibration-Based Damage Assessment in Gravity-Based Wind Turbine Tower under Various Waves
    Cong-Uy Nguyen
    Lee, So-Young
    Kim, Heon-Tae
    Kim, Jeong-Tae
    SHOCK AND VIBRATION, 2019, 2019
  • [8] Directional Bending Performance of 4-Leg Jacket Substructure Supporting a 3MW Offshore Wind Turbine
    Tran, Thanh-Tuan
    Kang, Sangkyun
    Lee, Jang-Ho
    Lee, Daeyong
    ENERGIES, 2021, 14 (09)
  • [9] Monopile Foundation Stiffness Estimation of an Instrumented Offshore Wind Turbine through Model Updating
    Mcadam, Ross A.
    Chatzis, Manolis N.
    Kuleli, Muge
    Anderson, Emily F.
    Byrne, Byron W.
    STRUCTURAL CONTROL & HEALTH MONITORING, 2023, 2023
  • [10] FE Modeling of a Historic Masonry Tower and Vibration-based Systematic Model Tuning
    Gentile, Carmelo
    Saisi, Antonella
    7TH INTERNATIONAL CONFERENCE ON STRUCTURAL ANALYSIS OF HISTORIC CONSTRUCTIONS: STRENGTHENING AND RETROFITTING, PTS 1 AND 2, 2010, 133-134 : 435 - 440