Structures Multi-Damage Detection by Discrete Wavelet Entropy Method

Document Type : پژوهشی

Authors

Gorgan Faculty of Engineering, Golestan University, Gorgan.

Abstract

Identification of infrastructure damage in the early stages is one of the most fundamental requirements through the maintenance process. In order to identify damages in the process of Structural Health Monitoring, numerous methods have been developed, including Neural Network (NN) Damage Identification Techniques, Time Series Damage Identification Techniques, Frequency Response Damage Identification Techniques, Force Spectrum Density Damage Identification Techniques, and Wavelet Damage Identification Techniques. The conventional structural health monitoring procedure depends on a comparison of undamaged primary structural data to the affected structural data. Comparative algorithms to indicate the location of damage based on the structural data has a significant effect on the structural health monitoring method performance. Therefore, a damage detection algorithm is the most important step in identifying damage in the structural health monitoring procedure. In this paper, a damage identification algorithm based on the relative wavelet entropy method is proposed for the structure. Using the definition of the discrete wavelet transform with wavelet entropy form the base of the proposed algorithm for damage detection to support the method efficiency. The proposed method is capable of identifying several sites of damage and is used as an effective method compared to other methods of damage detection.

Keywords


  1. Saadat, S.,"Structural Health Monitoring and Detection of Progressive and Existing Damage Using Artificial Neural Networks-Based System Identification", Ph.D. Thesis, NC State University Libraries, (2003).
  2. Lee, G.,"Hybrid Damage Identification Based on Wavelet Transform and Finite Element Model Updating", Ph.D. Thesis, University of Akron, (2012).
  3. Biglari, A., and Ashurzade, M.,"Damage Detection for Structures by Relative Wavelet Entropy Method", Proceedings of The 2nd International Conference on Civil Engineering, Architechtcer and Urban Management, Vol. 1, pp. 1-11, Iran, (2019).
  4. Diao, Y., Zhang, X., Sun, Z., Guo, K. and Wang, Y.,"Wavelet Entropy Based Structural Damage Identification Under Seismic Excitation", Smart Materials and Structures, Vol. 27, pp. 1-11, (2018).
  5. Ravanfar, S. A., "Vibration-Based Structural Damage Detection and System Identification Using Wavelet Multiresolution Analysis", Ph.D. Thesis, University Of Malaya, (2017).
  6. Sifuzzaman, M., Islam, M. and Ali, M.,"Application of Wavelet Transform and Its Advantages Compared to Fourier Transfor", Journal of Physical Sciences, 13, pp. 121-134, (2009).
  7. Kankanamge, L.,"Application of Wavelet Transform in Structural Health Monitoring", Master's Theses, Western Michigan University, (2016).
  8. Balili, C.C., Sobrepena, M. C. C., and Naval, P. C.,"Classification of Heart Sounds Using Discrete and Continuous Wavelet Transform and Random Forests", 3rd IAPR Asian Conference on Pattern Recognition (ACPR), Kuala Lumpur, 1, pp. 655-659, (2015).
  9. Chakrabarti, C., and Vishwanath, M.,"Efficient Realizations of the Discrete and Continuous Wavelet Transforms: From Single Chip Implementations to Mappings on Simd Array Computers", IEEE Transactions on Signal Processing, 43, No. 3, pp. 759-771, (1995).
  10. Rioul, O., and Duhamel, P.,"Fast Algorithms for Discrete and Continuous Wavelet Transforms", IEEE Transactions on Information Theory, 38, No. 2, pp. 569-586, (1992).
  11. Kankanamge, Y, Hu, Y., and Shao, X.,"Application of Wavelet Transform in Structural Health Monitoring",  Eng. Eng. Vib. Vol. 19, pp. 515–532, (2020).
  12. Barbosh, M., Singh, P., and Sadhu, A.,"Empirical Mode Decomposition and Its Variants: A Review With Applications in Structural Health Monitoring", Smart Materials and Structures, 29,pp. 1-20, (2020).
  13. Zare, H. A., Ghodrati, A. G., and Razzaghi, S. A.,"A New Damage Index for Structural Damage Identification by means of Wavelet Residual Force", International Journal of Optimization In Civil Engineering, 2, pp. 269-286, (2016).
  14. Yanab, G., Dong, Z., Jinping, D., and De Stefano, O.,"Structural Damage Detection Using Residual Forces Based on Wavelet Transform", Mechanical Systems and Signal Processing, 24, pp. 224-239, (2010).
  15. Silva, A., Zarzo, A., Manue, J., González, M., Manue, J., and Guijosa, M.,"Early Fault Detection of Single-Point Rub in Gas Turbines with Accelerometers on the Casing Based on Continuous Wavelet Transform", Journal of Sound andVibration, 487, pp. 1-21, (2020).
  16. Yun, G.J., Lee, S.G., Carletta, J., and Nagayama, T.,"Decentralized Damage Identification Using Wavelet Signal Analysis Embedded on Wireless Smart Sensors", Engineering Structures, 33, pp. 2162-2172, (2011).
  17. Ren, W.X., and Sun, Z. S.,"Structural Damage Identification by Using Wavelet Entropy", Engineering Structures, 30, pp. 2840-2849, (2008).
  18. Pakrashi, V., O'connor, A., and Basu, B.,"A Study on the Effects of Damage Models and Wavelet Bases for Damage Identification and Calibration in Beams", Computer-Aided Civil and Infrastructure Engineering, 22, pp. 555-569, (2007).
  19. Poudel, U.P., Fu, G., and Ye, J.,"Wavelet Transformation of Mode Shape Difference Function for Structural Damage Location Identification", Earthquake Engineering & Structural Dynamics, 36, pp. 1089-1107, (2007).
  20. Noori, M., Wang, H., Altabey, W.A., and Silik, A.I.H.,"A Modified Wavelet Energy Rate-Based Damage Identification Method for Steel Bridges", Scientia Iranica, 25, pp. 3210-3230, (2018).
  21. Biglari, A., Harrison, P. and Bićanić, N.,"Quasi-Hinge Beam Element Implemented within the Hybrid Force-Based Method", Computers & Structures, 137, pp. 31-46, (2014).
  22. Stark, H.G.,"Continuous Wavelet Transform and Continuous Multiscale Analysis", Journal of Mathematical Analysis and Applications, 169, pp. 179-196, (1992).
  23. Craig, R.R., and Kurdila, A.J.,"Fundamentals of Structural Dynamics", John Wiley & Sons, (2006).
  24. Ibrahim, R., and Pettit, C.,"Uncertainties and Dynamic Problems of Bolted Joints and Other Fasteners", Journal of Sound and Vibration, 279, pp. 857-936, (2005).

Lee, S.G., Yun, G.J., and Shang, S.,"Reference-Free Damage Detection for Truss Bridge Structures by Continuous Relative Wavelet Entropy Method", Structural Health Monitoring, Vol. 13, pp. 307-320, (2014).

CAPTCHA Image