Abstract
Non-destructive vibration-based global structural health monitoring and damage detection methods are divided into modal-based and signal-based methods. There is much research in these areas, but each one has some advantages and disadvantages. The combination of these two areas can greatly overcome these disadvantages and thus can enhance the robustness of the damage detection methods. This article presents a signal-modal-based structural health monitoring technique for multi-story shear buildings subjected to an earthquake event. The proposed method utilizes the combination of wavelet transform and FFT as signal processing tools and also Hilbert transform with the aim of final modal parameters extraction, in order to determine the existence, location, and extent of damage in the multi-story shear frames. In fact, extraction of final modal parameters from the acceleration response signals is desired. To demonstrate the capabilities of the proposed algorithm, numerical simulations are performed on a four-story two-bay and ten-story two-bay shear frame with different damage scenarios using OpenSees. The results show that this method can detect the occurrence, location, and severity of the damage with good accuracy even in different levels of multi-damage scenarios and also in the presence of measurement noise.
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References
Adeli H, Jiang X (2006) Dynamic fuzzy wavelet neural network model for structural system identification. J Struct Eng 132(1):102–111
Aguirre DA, Gaviria CA, Montejo LA (2013) Wavelet-based damage detection in reinforced concrete structures subjected to seismic excitations. J Earthq Eng 17(8):1103–1125
Chang M, Pakzad SN (2012) Modified natural excitation technique for stochastic modal identification. J Struct Eng 139(10):1753–1762
Chopra AK (2001) Dynamics of structures: theory and applications to earthquake engineering, 2nd edn. Prentice Hall, Saddle River
Chopra AK, Goel RK (2002) A modal pushover analysis procedure for estimating seismic demands for buildings. Earthq Eng Struct Dyn 31(3):561–582
Chopra AK, Goel RK (2004) A modal pushover analysis procedure to estimate seismic demands for unsymmetric-plan buildings. Earthq Eng Struct Dyn 33(8):903–927
Chopra AK, Goel RK, Chintanapakdee C (2003) Statistics of single-degree-of-freedom estimate of displacement for pushover analysis of buildings. J Struct Eng 129(4):459–469
Doebling SW, Farrar CR, Prime MB, Shevitz DW (1996) Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review. Los Alamos National Lab, New Mexico
Fasel TR, Sohn H, Park G, Farrar CR (2005) Active sensing using impedance-based ARX models and extreme value statistics for damage detection. Earthq Eng Struct Dyn 34(7):763–785
Hera A, Hou Z (2003) Application of wavelet approach for ASCE structural health monitoring benchmark studies. J Eng Mech 130(1):96–104
Hou Z, Noori M, Amand RS (2000) Wavelet-based approach for structural damage detection. J Eng Mech 126(7):677–683
Hou Z, Hera A, Liu W, Hendrickson D (2003) Identification of instantaneous modal parameters of time-varying systems using wavelet approach. In: 4th International workshop on structural health monitoring, pp 725–732
Hou Z, Hera A, Shinde A (2006) Wavelet-based structural health monitoring of earthquake excited structures. Comput Aided Civ Infrastruct Eng 21(4):268–279
Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, Liu HH (1998) The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc Lond Ser A Math Phys Eng Sci 454(1971):903–995
Khoshnoudian F, Esfandiari A (2011) Structural damage diagnosis using modal data. Sci Iran 18(4):853–860
Kim JT, Ryu YS, Cho HM, Stubbs N (2003) Damage identification in beam-type structures: frequency-based method vs mode-shape-based method. Eng Struct 25(1):57–67
Lee J, Kim S (2007) Structural damage detection in the frequency domain using neural networks. J Intell Mater Syst Struct 18(8):785–792
McKenna F, Fenves G, Scott G (2006) OpenSees: open system for earthquake engineering simulation. Pacific Earthquake Engineering Center, University of California, Berkeley, CA. http://opensees.berkeley.edu
McNeill S (2013) A modal identification algorithm combining blind source separation and state space realization. J Signal Inf Process 4(2):173–185
Nair KK, Kiremidjian AS, Law KH (2006) Time series-based damage detection and localization algorithm with application to the ASCE benchmark structure. J Sound Vib 291(1):349–368
Omenzetter P, Brownjohn JMW (2006) Application of time series analysis for bridge monitoring. Smart Mater Struct 15(1):129–138
Ovanesova A, Suarez L (2004) Applications of wavelet transforms to damage detection in frame structures. Eng Struct 26(1):39–49
Poudel UP, Fu G, Ye J (2007) Wavelet transformation of mode shape difference function for structural damage location identification. Earthq Eng Struct Dyn 36(8):1089–1107
Qiao L (2004) Structural damage detection using signal-based pattern recognition. Doctoral dissertation, Kansas State University
Sadhu A, Hazra B (2013) A novel damage detection algorithm using time-series analysis-based blind source separation. Shock Vib 20(3):423–438
Salehi M, Ziaei-Rad S, Ghayour M, Vaziri-Zanjani MA (2013) A frequency response based structural damage localization method using independent component analysis. J Mech Sci Technol 27(3):609–619
Shinde A, Hou Z (2005) A wavelet packet based sifting process and its application for structural health monitoring. Struct Health Monit 4(2):153–170
Sohn H, Farrar CR (2001) Damage diagnosis using time series analysis of vibration signals. Smart Mater Struct 10(3):446–451
Sohn H, Farrar CR, Hemez FM, Shunk DD, Stinemates DW, Nadler BR, Czarnecki JJ (2004) A review of structural health monitoring literature: 1996–2001. Los Alamos National Laboratory Los Alamos, New Mexico
Su WC, Huang CS, Chen CH, Liu CY, Huang HC, Le QT (2014a) Identifying the modal parameters of a structure from ambient vibration data via the stationary wavelet packet. Comput Aided Civ Infrastruct Eng 29(10):738–757
Su W, Liu C, Huang C (2014b) Identification of instantaneous modal parameter of time-varying systems via a wavelet-based approach and its application. Comput Aided Civ Infrastruct Eng 29(4):279–298
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Hossein Rahami is grateful to the University of Tehran for financial support.
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Rahami, H., Ghodrati Amiri, G., Amini Tehrani, H. et al. Structural Health Monitoring for Multi-story Shear Frames Based on Signal Processing Approach. Iran J Sci Technol Trans Civ Eng 42, 287–303 (2018). https://doi.org/10.1007/s40996-018-0096-1
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DOI: https://doi.org/10.1007/s40996-018-0096-1