Damage Detection of Concrete Gravity Dams using Hilbert-Huang Method

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Damage detection in concrete gravity dams using Hilbert-Huang Method, as one of the most common signal processing techniques, is studied in this research. After considering a typical geometry for dams, damage is modelled by a reduction in the modulus of elasticity in the dam’s body (in three levels of damage) and in different areas of the structure. The dam is excited by a horizontal earthquake and the primary natural frequencies of the dam are calculated by applying Hilbert-Huang Method to the measured response, which is the acceleration of five points in the system. Based on the changes in the frequencies of the damaged and undamaged structure, a parameter, called relative frequency error, has been introduced. The results show that the proposed criterion used in this study can not only properly identify the location of damage but also predict the severity of the structural damage in concrete gravity dams accurately.

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  • A.Farsayi R.Abbasnia. 2010. “Wavelet Transform in Damage Detection of Structures.” 6th Conference of Iranian civil engineering.

  • Aldemir Alper et al. 2015. “Pseudo-Dynamic Testing of a Concrete Gravity Dam.”

  • Alembagheri Mohammad and Mohsen Ghaemian. 2013. “Damage Assessment of a Concrete Arch Dam through Nonlinear Incremental Dynamic Analysis.” Soil Dynamics and Earthquake Engineering 44: 127–37. http://dx.doi.org/10.1016/j.soildyn.2012.09.010

  • Allen J B. 1977. “Short Term Spectral Analysis Synthesis and Modification by Discrete Fourier Transform.” IEEE Trans. Acoust. Speech Signal Process. 25(3): 235–38 https://doi.org/10.1109/TASSP.1977.1162950.

  • Alvandi A. and C. Cremona. 2006. “Assessment of Vibration-Based Damage Identification Techniques.” Journal of Sound and Vibration 292(1–2): 179–202 https://doi.org/10.1016/j.jsv.2005.07.036.

  • Amiri Gholamreza Ghodrati and Ehsan Darvishan. 2015. “Damage Detection of Moment Frames Using Ensemble Empirical Mode Decomposition and Clustering Techniques.” KSCE Journal of Civil Engineering 19: 1302–11 https://doi.org/10.1007/s12205-015-0415-z.

  • Balafas Konstantinos and Anne S Kiremidjian. 2015. “The Continuous Wavelet Transform as a Stochastic Process for Damage Detection.”

  • Bathe K. J. 1996. Finite Element Procedures in Engineering Analysis. Prentice Hall.

  • Bedrosian E. 1963. “A Product Theorem for Hilbert Transforms.” Proceedings of the IEEE 51(5) https://doi.org/10.1109/PROC.1963.2308.

  • Brincker Rune Lingmi Zhang and Palle Andersen. 2001. “Modal Identification of Output-Only Systems Using Frequency Domain Decomposition.” Smart Materials and Structures 10(3): 441–45 https://doi.org/10.1088/0964-1726/10/3/303.

  • Bukenya P P Moyo H Beushausen and C Oosthuizen. 2014. “Health Monitoring of Concrete Dams : A Literature Review.”

  • Carolina North and Worcester Polytechnic. 1999. “WAVELET-BASED ApPROACH FOR STRUCTURAL DAMAGE DETECTION by Z. Hou/M. Noori/ and R. St. Arnand 3.” Engineering.

  • Chang Peter C. and S. Chi Liu. 2003. “Recent Research in Nondestructive Evaluation of Civil Infrastructures.” Journal of Materials in Civil Engineering 15(3): 298–304.

  • Chang T.Y.P. C.C. Chang and Y.G. Xu. 1999. “Updating Structural Parameters: An Adaptive Neural Network Approach.” In Structural Health Monitoring 2000 Stanford University Palo Alto 379–389 https://doi.org/10.1061/(ASCE)0899-1561(2003)15:3(298).

  • Chen Bo Sheng-lin Zhao and Peng-yun Li. 2014. “Application of Hilbert-Huang Transform in Structural Health Monitoring: A State-of-the-Art Review.” Mathematical Problems in Engineering 2014. http://www.hindawi.com/journals/mpe/2014/317954/abs/ https://doi.org/10.1155/2014/317954.

  • Chen Peipei and Guoxin Zhang. 2014. “Study on the Prevention Measures and Causes of Cracks in Arch Crests of Galleries in High Concrete Dams.” 921: 813–19 https://doi.org/10.4028/www.scientific.net/AMR.919-921.813.


  • Cleary R Das P W. 2013. “A Mesh-Free Approach for Fracture Modelling of Gravity Dams under Earthquake” pp. 9–33.

  • Doebling S. W. C. R. Farrar and M. B. Prime. 1998. “A Summary Review of Vibration-Based Damage Identification Methods.” The Shock and Vibration Digest 30(2): 91–105 https://doi.org/10.1177/058310249803000201.

  • Doebling S W C R Farrar M B Prime and D W Shevitz. 1996. “Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in Their Vibration Characteristics: A Literature Review.” Other Information: PBD: May 1996 (836): Medium: ED; Size: 132 p.


  • Heylen W and S Lammens. 1996. “FRAC: A Consistent Way of Comparing Frequency Response Functions” ed. S Lammens. Proceedings International Conference on Identification in Engineering Swansea; 48–57.

  • Huang N. E. et al. 2003. “A Confidence Limit for the Empirical Mode Decomposition and Hilbert Spectral Analysis.” Proceedings of the Royal Society A: Mathematical Physical and Engineering Sciences 459(2037): 2317–45 https://doi.org/10.1098/rspa.2003.1123.

  • Huang N E. 2005. “Computing Instantaneous Frequency by Normalizing Hilbert Transform.” http://www.google.com/patents/US6901353.

  • Huang Norden E et al. 1998. “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis.” Proceedings of the Royal Society of London A: Mathematical Physical and Engineering Sciences 454(1971): 903–95. http://rspa.royalsocietypublishing.org/content/454/1971/903.abstract.

  • Humar J. L and A. M. Jablonski. 1988. “Boundary Element Reservoir Model for Seismic Analysis of Gravity Dams.” Earthquake Engng. Struct. Dyn. 16(8): 1129–56. http://dx.doi.org/10.1002/eqe.4290160804.

  • Jeyasehar C Antony and K Sumangala. 2006. “Damage Assessment of Prestressed Concrete Beams Using Artificial Neural Network (ANN) Approach.” 84: 1709–18 https://doi.org/10.1016/j.compstruc.2006.03.005.

  • Kyang K. 2005. Structural Sensivity Analysis and Optimization. Springer.

  • Lee J. and S. Kim. 2007. “Structural Damage Detection in the Frequency Domain Using Neural Networks.” Journal of Intelligent Material Systems and Structures 18(8): 785–92 https://doi.org/10.1177/1045389X06073640.

  • Min Z. H. et al. 2011. “New Methodology for the Application of Vibration-Based Damage Detection Techniques.” Structural Control and Health Monitoring 20(May 2011): n/a-n/a.

  • Pandey A M Biswas and M Samman. 1991. “Damage Detection from Mode Changes in Curvature.” Journal of Sound and Vibration 145(2): 321–32 https://doi.org/10.1016/0022-460X(91)90595-B.

  • Patjawit Anun and Worsak Kanok-Nukulchai. 2005. “Health Monitoring of Highway Bridges Based on a Global Flexibility Index.” Engineering Structures 27(9): 1385–91 https://doi.org/10.1016/j.engstruct.2005.04.003.

  • R. A. Osegueda P. D. DSouza and Qiang Y. J. 1992. “Damage Evaluation of Offshore Structures Using Frequency Shifts.” ASMEPVP Conference: 31–37.

  • Ramezani & Bahar. 2010. “Mode Shape Identification Using Modified Hilbert-Huang Transform.” 5th Conference of Iranian civil engineering.

  • Richard E. 2010. Processing Fast Algorithms for Aignal. Cambridge https://doi.org/10.1002/9780470976401.ch4.

  • Rilling Gabriel Patrick Flandrin Paulo Gon and De Lyon. 2003. “On Empirical Mode Decomposition and Its Algorithms.” IEEEEURASIP Workshop on Nonlinear Signal and Image Processing NSIP 8–11. http://perso.ens-lyon.fr/patrick.flandrin/NSIP03.pdf.

  • Ruotolo R. and C. Surace. 1997. “Damage Assessment of Multiple Cracked Beams: Numerical Results and Experimental Validation.” Journal of Sound and Vibration 206: 567–88 https://doi.org/10.1006/jsvi.1997.1109.

  • Rusch T R Sankar and J Scharf. 1995. “Signal Processing Methods for Pulse Oximetry.” Compt. Biol. Med 26(2): 143–59 https://doi.org/10.1016/0010-4825(95)00049-6.

  • Rytter Anders. 1993. “Vibrational Based Inspection of Civil Engineering Structures.” Dept. of Building Technology and Structural Engineering Aalborg University.

  • Salawu O.S. 1997. “Detection of Structural Damage through Changes in Frequency: A Review.” Engineering Structures 19(9): 718–23 https://doi.org/10.1016/S0141-0296(96)00149-6.

  • Scharf Ll. 1991. “Statistical Signal Processing.” http://www.ulb.tu-darmstadt.de/tocs/21055823.pdf.

  • Sethi Rabinarayan S.K. Senapati and Dayal R. Parhi. 2014. “Structural Damage Detection by Fuzzy Logic Technique.” Applied Mechanics and Materials 592–594: 1175–79 https://doi.org/10.4028/www.scientific.net/AMM.592-594.1175.

  • Stubbs Norris and Jeong Kim. 1992. “An Efficient and Robust Algorithm for Damge Localization in Offshore Platform.” International Journal of Offshore and Polar Engineering 5(1053–5381).

  • Tang J.-P. et al. 2011. “A Case Study of Damage Detection in Benchmark Buildings Using a Hilbert-Huang Transform-Based Method.” Journal of Vibration and Control 17(4): 623–36 https://doi.org/10.1177/1077546309360053.

  • Zhu Futao and Yunjie Wu. 2014. “A Rapid Structural Damage Detection Method Using Integrated ANFIS and Interval Modelling Technique.” Applied Soft Computing Journal 25: 473–84 https://doi.org/10.1016/j.asoc.2014.08.043.

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