Structural Health Monitoring for Multi-story Shear Frames Based on Signal Processing Approach
- 34 Downloads
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.
KeywordsStructural health monitoring Wavelet transform Signal processing Hilbert transform Multi-story shear frames
Hossein Rahami is grateful to the University of Tehran for financial support.
- Chopra AK (2001) Dynamics of structures: theory and applications to earthquake engineering, 2nd edn. Prentice Hall, Saddle RiverGoogle Scholar
- 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 725–732Google Scholar
- 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):173–185Google Scholar
- Qiao L (2004) Structural damage detection using signal-based pattern recognition. Doctoral dissertation, Kansas State UniversityGoogle Scholar
- 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 MexicoGoogle Scholar