Eliminating environmental and operational effects on structural modal frequency: A comprehensive review

被引:52
作者
Wang, Zhen [1 ]
Yang, Dong-Hui [1 ]
Yi, Ting-Hua [1 ]
Zhang, Guan-Hua [2 ]
Han, Ji-Gang [2 ]
机构
[1] Dalian Univ Technol, Sch Civil Engn, Dalian 116023, Peoples R China
[2] Liaoning Prov Transportat Planning & Design Inst, Shenyang, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
data normalization; environmental and operational conditions; modal variability; structural condition assessment; structural health monitoring; PRINCIPAL COMPONENT ANALYSIS; DAMAGE DETECTION; SYSTEM-IDENTIFICATION; COINTEGRATION APPROACH; PART II; TEMPERATURE; BRIDGE; REGRESSION; VARIABILITY; DECOMPOSITION;
D O I
10.1002/stc.3073
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Modal frequencies are widely used for vibration-based structural health monitoring (SHM) and for capturing the dynamics of a monitored structure to reveal possible failures. However, changing environmental and operational conditions (i.e., temperature, humidity, wind load, and traffic load) may submerge the modal variability induced by structural damage, thereby falsely identifying damage of interest. This paper presents a comprehensive summary review of SHM for the prediction of modal frequency and the elimination of environment-induced masking effects based on the data normalization method. The influence mechanisms of external variations on modal frequencies extensively reported in the literature are first described. Next, the research progress in predicting and eliminating the operational modal variability is reviewed emphatically; this progress can be primarily divided into an input-output method that focuses on the establishment of the relationship model between structural frequency and environmental conditions and an output-only method that separates the embedded environmental variable-induced changes depending on whether the environmental measurements are measured. Finally, the conclusions and future studies are summarized and discussed. As an overview, the major contribution of this paper is to provide objective technical references for engineers and owners and to further evaluate structural safety conditions more effectively and in a timely manner.
引用
收藏
页数:24
相关论文
共 137 条
  • [1] A spectral-based clustering for structural health monitoring of the Sydney Harbour Bridge
    Alamdari, Mehrisadat Makki
    Rakotoarivelo, Thierry
    Nguyen Lu Dang Khoa
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 87 : 384 - 400
  • [2] One-year operational modal analysis of a steel bridge from high-resolution macrostrain monitoring: Influence of temperature vs. retrofitting
    Anastasopoulos, Dimitrios
    De Roeck, Guido
    Reynders, Edwin P. B.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 161
  • [3] A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
    Avci, Onur
    Abdeljaber, Osama
    Kiranyaz, Serkan
    Hussein, Mohammed
    Gabbouj, Moncef
    Inman, Daniel J.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 147
  • [4] Robust nonlinear system identification: Bayesian mixture of experts using the t-distribution
    Baldacchino, Tara
    Worden, Keith
    Rowson, Jennifer
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 85 : 977 - 992
  • [5] Negative selection algorithm based methodology for online structural health monitoring
    Barontini, Alberto
    Masciotta, Maria Giovanna
    Amado-Mendes, Paulo
    Ramos, Luis F.
    Lourenco, Paulo B.
    [J]. ENGINEERING STRUCTURES, 2021, 229
  • [6] Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data
    Bull, L. A.
    Worden, K.
    Fuentes, R.
    Manson, G.
    Cross, E. J.
    Dervilis, N.
    [J]. JOURNAL OF SOUND AND VIBRATION, 2019, 453 : 126 - 150
  • [7] Statistical correlation between environmental time series and data from long-term monitoring of buildings
    Ceravolo, R.
    Coletta, G.
    Miraglia, G.
    Palma, F.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 152
  • [8] Variability in bridge frequency induced by a parked vehicle
    Chang, K. C.
    Kim, C. W.
    Borjigin, Sudanna
    [J]. SMART STRUCTURES AND SYSTEMS, 2014, 13 (05) : 755 - 773
  • [9] The Health Monitoring Method of Concrete Dams Based on Ambient Vibration Testing and Kernel Principle Analysis
    Cheng, Lin
    Yang, Jie
    Zheng, Dongjian
    Li, Bo
    Ren, Jie
    [J]. SHOCK AND VIBRATION, 2015, 2015
  • [10] Use of the cointegration strategies to remove environmental effects from data acquired on historical buildings
    Coletta, Giorgia
    Miraglia, Gaetano
    Pecorelli, Marica
    Ceravolo, Rosario
    Cross, Elizabeth
    Surace, Cecilia
    Worden, Keith
    [J]. ENGINEERING STRUCTURES, 2019, 183 : 1014 - 1026