Advertisement

Application of acoustic emission technology in monitoring structural integrity of bridges

  • Manindra Kaphle
  • Andy CC Tan
  • Eric Kim
  • David Thambiratnam
Conference paper

Abstract

Bridges are an important part of a nation’s infrastructure and reliable monitoring methods are necessary to ensure their safety and efficiency. Most bridges in use today were built decades ago and are now subjected to changes in load patterns that can cause localized distress, which can result in bridge failure if not corrected. Early detection of damage helps in prolonging lives of bridges and preventing catastrophic failures. This paper briefly reviews the various technologies currently used in health monitoring of bridge structures and in particular discusses the application and challenges of acoustic emission (AE) technology. Some of the results from laboratory experiments on a bridge model are also presented. The main objectives of these experiments are source localisation and assessment. The findings of the study can be expected to enhance the knowledge of acoustic emission process and thereby aid in the development of an effective bridge structure diagnostics system.

Keywords

Acoustic Emission Acoustic Emission Signal Structural Health Monitoring Lamb Wave Short Time Fourier Transform 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Austroads, (2004) Guidelines for Bridge management - Structure Information. Austroads Inc: Sydney, Australia.Google Scholar
  2. 2.
    USDoT, (2006) 2006 Status of the Nation's Highways, Bridges, and Transit: Condition and Performance. U.S. Department of Transportation Federal Highway Administration Federal Transit Administration.Google Scholar
  3. 3.
    Shih, H.W., D.P. Thambiratnam, and T.H.T. Chan, (2009) Vibration based structural damage detection in flexural members usign multi-criteria approach. Journal of sound and vibration. 323, 645-661.CrossRefGoogle Scholar
  4. 4.
    Chang, P.C. and S.C. Liu, (2003) Recent research in nondestructive evaluation of civil infrastructures. Journal of materials in civil engineering. p. 298-304.Google Scholar
  5. 5.
    Chang, P.C., A. Flatau, and S.C. Liu, (2003) Review paper: Health monitoring of civil infrastructure. Structural health monitoring. 2, 257-267.CrossRefGoogle Scholar
  6. 6.
    Chong, K.P., N.J. Carino, and G. Washer, (2003) Health monitoring of civil infrastructures. Smart Materials and structures. 12, 483-493.CrossRefGoogle Scholar
  7. 7.
    Grosse, C.U., et al., (2004) Improvements of AE technique using wavelet algorithms, coherence functions and automatic data analysis. Construction and building Materials. 18, 203-213.CrossRefGoogle Scholar
  8. 8.
    Rens, K.L., T.J. Wipf, and F.W. Klaiber, (1997) Review of non-destructive evaluation techniques of civil infrastructure. Journal of performance of constructed facilities. 11(2), 152-160.CrossRefGoogle Scholar
  9. 9.
    Ansari, F., (2007) Practical implementation of optical fiber sensors in civil structural health monitoring. Journal of intelligent material systems and structures. 18, 879-889.CrossRefGoogle Scholar
  10. 10.
    Vahaviolos, S.J., (1996) Acoustic emission: A new but sound NDE technique and not a panacea, in Non destructive testing, D. Van Hemelrijck and A. Anastassopoulos, Editors. Balkema: Rotterdam.Google Scholar
  11. 11.
    Ohtsu, M., (1996) The history and development of acoustic emission in concrete engineering. Magazine of concrete research. 48(177), 321-330.CrossRefGoogle Scholar
  12. 12.
    Holford, K.M., et al., (2001) Damage location in steel bridges by acoustic emission. Journal of intelligent material systems and structures. 12, 567-576.CrossRefGoogle Scholar
  13. 13.
    Holford, K.M. and R.J. Lark, (2005) Acoustic emission testing of bridges, in Inspection and monitoring techniques for bridges and civil structures, G. Fu, Editor. Woodhead Publishing Limited and CRC. p. 183-215.Google Scholar
  14. 14.
    Lozev, M.G., et al., (1997) Acoustic emission monitoring of steel bridge members. Virginia transportation research council.Google Scholar
  15. 15.
    Maji, A.K., D. Satpathi, and T. Kratochvil, (1997) Acoustic emission source location using lamb wave modes. Journal of engineering mechanics. p. 154-161.Google Scholar
  16. 16.
    Sison, M., et al., (1998) Analysis of acoustic emissions from a steel bridge hanger. Research in Nondestructive Analysis. 10, 123-145.Google Scholar
  17. 17.
    Colombo, S., et al., (2005) AE energy analysis on concrete bridge beams. Materials and structures. 38, 851-856.Google Scholar
  18. 18.
    Shigeshi, M., et al., (2001) Acoustic emission to assess and monitor the integrity of bridges. Construction and building materials. 15, 35-49.CrossRefGoogle Scholar
  19. 19.
    Yuyama, S., et al., (2007) Detection and evaluation of failures in high-strength tendon of prestressed concrete bridges by acoustic emission. Construction and building materials. 21, 491-500.CrossRefGoogle Scholar
  20. 20.
    Rizzo, P. and F.L. di Scalea, (2001) Acoustic emission monitoring of carbon-fiber-reinforced-polymer bridge stay cables in large-scale testing. Experimental mechanics. 41(3), 282-290.CrossRefGoogle Scholar
  21. 21.
    Gostautas, R.S., et al., (2005) Acoustic emission monitoring and analysis of glass fiber-reinforced composites bridge decks. Journal of bridge engineering. 10(6), 713-721.CrossRefGoogle Scholar
  22. 22.
    Melbourne, C. and A.K. Tomor, (2006) Application of acoustic emission for masonry arch bridges. Strain - International Journal for strain measurement. 42, 165-172.Google Scholar
  23. 23.
    Vallen, H., (2002) AE testing fundamentals, equipment, applications. NDT.net. 7(09).Google Scholar
  24. 24.
    Daniel, I.M., et al., (1998) Acoustic emission monitoring of fatigue damage in metals. Nondestructive testing evaluation. 14, 71-87.CrossRefGoogle Scholar
  25. 25.
    Nivesrangsan, P., J.A. Steel, and R.L. Reuben, (2007) Source location of acoustic emission in diesel engines. Mechanical systems and signal processing. 21, 1103-1114.CrossRefGoogle Scholar
  26. 26.
    Auger, F., et al., (1996) Time-Frequency Toolbox - For use with MATLAB. CNRS (France) and Rice University (USA).Google Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Manindra Kaphle
    • 1
  • Andy CC Tan
    • 1
  • Eric Kim
    • 1
  • David Thambiratnam
    • 1
  1. 1.Faculty of Built Environment and EngineeringQueensland University of TechnologyBrisbaneAustralia

Personalised recommendations