Damage Detection of Steel Moment Frames with Multiple Damages using Wavelet Transform

Document Type : Original Article

Authors

1 Assistant Professor, Department of Civil Engineering, Faculty of Technology and Engineering-Eastern Guilan, University of Guilan, Roudsar, Iran

2 MSc, Department of Civil Engineering, Faculty of Engineering, Deylaman Institute of Higher Education, Lahijan, Iran

Abstract

Regarding the possibility of lifetime reduction of the structure due to different factors, including cracking and phenomena, such as earthquakes, it is crucial to constantly monitor the structure so that the location and severity of the damage can be timely identified to correctly estimate the remaining lifetime of the structure. Wavelet transform is a robust tool for identifying local structural damages, by which the damage location is identified by observing a disturbance in the wavelet coefficients of the damaged structure, regardless of the main (undamaged) structure response. This paper addresses the application of wavelet transforms for identifying multiple cracks in steel moment resisting frames, which has received less attention in the literature. To this end, different crack modes were considered in the form of element removal for one-story and two-story frames, and the first four mode shapes of the damaged structure were derived using the ABAQUS. Finally, the derived mode shapes were subjected to continuous coif5 and sym2 wavelet transform, and the capability of the method in identifying cracks in structures accounting for the effect of mode order and damage location was evaluated. The results indicated that if the proper wavelet was selected, the proposed method would be able to identify the damage location based on the response signal using a simple, robust, and reliable way. The results also showed that the damage in the beam was identified with a higher accuracy than the column foot. It was also shown that the location of the damage in the mid-span of the beam can be identified with a higher accuracy than the damage near to the column abutments. Also, it was observed that higher modes could identify the damage location with a higher resolution.

Keywords

Main Subjects

References

  • Mallat, S.G. (1989). A Theory for Multiresolution Signal Decomposition: The Wavelet Representation. IEEE transactions on pattern analysis and machine intelligence, 11(7), 674-693.
  • Newland, D. (1993). An introduction to random vibrations, spectral and wavelet analysis. 3rd Edition, NewYork: Prentice-Hall.
  • Surace, C., Ruotolo, R. (1994). Crack Detection of a Beam Using Wavelet Transform, In: Proceedings of the 12th International Modal Analysis Conference, Honolulu, Hawaii.
  • Sone, A., Yamamoto, A., Nakaoka, A., Masuda, A. (1995). Health monitoring system of structures based on orthonormal wavelet transform. American Society of Mechanical Engineers, New York, USA.
  • Naldi, G., Venini, P. (1997). Postprocessing Singular Solutions by the Wavelet Transform. Structural Damage Assessment Using Advanced Signal Processing Procedures. In: Proceedings of DAMAS ‘97, University of Sheffield, UK, 109-120.
  • Gentile, A., Messina, A. (2003). On the continuous wavelet transforms applied to discrete vibrational data for detecting open cracks in damaged beams. International Journal of Solids and Structures, 40(2), 295-315.
  • Kim, H., Mehlem, H. (2003). Damage detection of structures by wavelet analysis. Engineering Structures, 26(3), 347-362.
  • Pothisiri, T., Hjelmstad, K.D. (2003). Structural damage detection and assessment from modal response. Journal of Engineering Mechanics, 129(2), 135-145.
  • Mousavi, A.A., Zhang, C., Masri, S.F., Gholipour, G. (2021). Damage detection and localization of a steel truss bridge model subjected to impact and white noise excitations using empirical wavelet transform neural network approach. Measurement, 185, 110060.
  • Gökdağ, H., Kopmaz, O. (2009). A New Damage Detection Approach for Beam-Type Structures Based on the Combination of Continuous and Discrete Wavelet Transforms. Journal of Sound and Vibration, 324, 1158-1180.
  • Wu, N., Wang, (2011). Experimental studies on damage detection of beam structures with wavelet transform. International Journal of Engineering Science, 49(3), 253-261.
  • He, W-Y., Zhu, S. (2013). Progressive damage detection based on multi-scale wavelet finite element model: numerical study. Computers & Structures, 125, 177-186.
  • Montanari, L., Spagnoli, A., Basu, B., Broderick, B. (2015). On the effect of spatial sampling in damage detection of cracked beams by continuous wavelet transform. Journal of Sound and Vibration, 345, 233-249.
  • Yang, C., Oyadiji, S.O. (2017), Delamination detection in composite laminate plates using 2D wavelet analysis of modal frequency surface, Computers and Structures, 179, 109-126.
  • He, W-Y., Zhu, S., Ren, W-X. (2019). Two-phase damage detection of beam structures under moving load using multi-scale wavelet signal processing and wavelet finite element model. Applied Mathematical Modelling, 66, 728-744.
  • Khanahmadi, M., Rezayfar, O., Gholhaki, M. (2021). Damage Detection in Steel Plates Based on Comparing Analytical Results of the Discrete 2-D Wavelet Transform of Primary and Secondary Modes Shape. Journal of Structural and Construction Engineering, 8(5), 198-214.
  • Patel, S.S., Chourasia, A.P., Panigrahi, S.K., Parashar, J., Parvez, N., Kumar, M. (2016). Damage Identification of RC Structures Using Wavelet Transformation. Procedia Engineering, 144, 336-342.
  • Wang, S., Li, J., Luo, H., Zhu, H. (2019). Damage identification in underground tunnel structures with wavelet based residual force vector, Engineering Structures, 178. 506-520.
  • Teimoori, T., Mahmoudi, M. (2020). Damage detection in connections of steel moment-resisting frames using proper orthogonal decomposition and wavelet transform. Measurement, 166, 108188.
  • Hanteh, M., Rezaifar, O. (2021). Damage detection in precast full panel building by continuous wavelet analysis analytical method, Structures, 29, 701-713.
  • Soman, K.P. (2010). Insight into wavelets: From theory to practice. PHI Learning Pvt. Ltd.
  • Ovanesova, A.V., Suárez, L.E. (2004). Applications of wavelet transforms to damage detection in frame structures. Engineering Structures, 26(1), 39-49.
  • Zhong, Sh., Oyadiji, S.O. (2007). Wavelet-Based Structural Damage Detection. In: Proceedings of the ASME 2007 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Las Vegas, Nevada, USA.
  • Misiti, M., Misiti, Y., Oppenheim, G., Poggi, J-M. (1996). Wavelet toolbox user’s guide. The MathWorks Inc, 2-36.
  • Mortazavi, S.R., Zaeimdar, B. (2020). Structural Health Monitoring and Damage Detection of Structures by Wavelet-Based Method. journal of structure & steel, 14 (28), 41-51.
Journal of Structural and Construction Engineering
Volume 10, Issue 8 - Serial Number 73
November 2023
Pages 224-246

Files

History

  • Receive Date: 03 September 2022
  • Revise Date: 22 December 2022
  • Accept Date: 30 January 2023

Share

How to cite

Statistics