Skip to main content
SpringerLink
Log in

An experimental evaluation of the reliability of a damage localization algorithm based on FRF interpolation

  • Original Paper
  • Published:
Journal of Civil Structural Health Monitoring Aims and scope Submit manuscript

Abstract

In this paper two methods for damage localization, the IDDM (Interpolation Damage Detecting Method), and the Modal Shape Curvature Method (MSCM) are applied to the same experimental case of a cantilever aluminum beam for which several different damage scenarios have been artificially reproduced in laboratory. IDDM is a new method recently proposed in literature which is on the definition of a damage-sensitive feature in terms of the accuracy of a spline function interpolating the Operational Displacement Shapes of the structure. This paper will present a comparison between the two methods on experimental data from a laboratory bench structure. Results show that, due to the small changes of the damage features induced by damage, both methods require a high-quality data set to provide a reliable damage localization even if the number of false alarms is slightly lower if the IDDM is applied.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Carden EP (2004) Vibration based condition monitoring: a review. Struct Heal Monit 3:355–377

    Article  Google Scholar 

  2. Farrar C, Jauregui D (1999) Comparative study of damage identification algorithms applied to a bridge: I. Experiment. Smart Mater Struct 7:704

    Article  Google Scholar 

  3. Salawu OS (1997) Detection of structural damage through changes in frequency: a review. Eng Struct 19:718–723

    Article  Google Scholar 

  4. Patil DP, Maiti SK (2003) Detection of multiple cracks using frequency measurements. Eng Fract Mech 70:1553–1572

    Article  Google Scholar 

  5. Yang Z, Wang L (2009) Structural damage detection by changes in natural frequencies. J Intell Mater Syst Struct 21:309–319

    Article  Google Scholar 

  6. Pandey A, Biswas M, Samman M (1991) Damage detection from changes in curvature mode shapes. J Sound Vib 145:321–332

    Article  Google Scholar 

  7. Ratcliffe C (2000) A frequency and curvature based experimental method for locating damage in structures. J Vib Acoust 122:324–329

    Article  Google Scholar 

  8. Hamey CS (2004) Experimental damage identification of carbon/epoxy composite beams using curvature mode shapes. Struct Heal Monit 3:333–353

    Article  Google Scholar 

  9. Yoon M-K, Heider D, Gillespie JW, Ratcliffe CP, Crane RM (2009) Local damage detection with the global fitting method using mode shape data in notched beams. J Nondestruct Eval 28:63–74

    Article  Google Scholar 

  10. Li G, Hao K, Lu Y, Chen S (1999) A flexibility approach for damage identification of cantilever-type structures with bending and shear deformation. Comput Struct 73:565

    Article  MATH  Google Scholar 

  11. Zhou Z, Wegner L, Sparling B (2007) Vibration-based detection of small-scale damage on a bridge deck. J Struct Eng 133:1257–1267

    Article  Google Scholar 

  12. Li J, Wu B, Zeng QC, Lim CW (2010) A generalized flexibility matrix based approach for structural damage detection. J Sound Vib 329:4583–4587

    Article  Google Scholar 

  13. Shi Z, Law S, Zhang L (1998) Structural damage localization from modal strain energy change. J Sound Vib 218:825–844

    Article  Google Scholar 

  14. Kim J-T, Stubbs N (2002) Improved damage identification method based on modal information. J Sound Vib 252:223–238

    Article  Google Scholar 

  15. Choi S, Park S, Park N-H, Stubbs N (2006) Improved fault quantification for a plate structure. J Sound Vib 297:865–879

    Article  Google Scholar 

  16. Sampaio R, Maia N, Silva J (1999) Damage detection using the frequency-response-function curvature method. J Sound Vib 226:1029–1042

    Article  Google Scholar 

  17. Ratcliffe CP (1997) Damage detection using a modified laplacian operator on mode shape data. J Sound Vib 204:505–517

    Article  Google Scholar 

  18. Ramesh Babu T, Sekhar AS (2008) Detection of two cracks in a rotor-bearing system using amplitude deviation curve. J Sound Vib 314:457–464

    Article  Google Scholar 

  19. Zhang Y, Lie ST, Xiang Z (2013) Damage detection method based on operating deflection shape curvature extracted from dynamic response of a passing vehicle. Mech Syst Signal Process 35:238–254

    Article  Google Scholar 

  20. Pai PF, Jin S (2000) Locating structural damage by detecting boundary effects. J Sound Vib 231:1079–1110

    Article  Google Scholar 

  21. Limongelli MP (2010) Frequency response function interpolation for damage detection under changing environment. Mech Syst Signal Process 24:2898–2913

    Article  Google Scholar 

  22. Limongelli MP (2011) The interpolation damage detection method for frames under seismic excitation. J Sound Vib 330:5474–5489

    Article  Google Scholar 

  23. Limongelli MP (2014) Seismic health monitoring of an instrumented multistorey building using the Interpolation Method. Earthq Eng Struct Dyn 43:1581

    Article  Google Scholar 

  24. Limongelli MP (2003) Optimal location of sensors for reconstruction of seismic responses through spline function interpolation. Earthq Eng Struct Dyn 32:1055–1074

    Article  Google Scholar 

  25. Roy K, Ray-Chaudhuri S (2013) Fundamental mode shape and its derivatives in structural damage localization. J Sound Vib 332:5584–5593

    Article  Google Scholar 

  26. Ewins DJ (2010) Modal testing: theory, practice and application (Mechanical Engineering Research Studies: Engineering Dynamics Series). Wiley, New York

    Google Scholar 

  27. Maia NMM, Silva JMM e (1997) Theoretical and experimental modal analysis (Mechanical Engineering Research Studies. Engineering Control Series, 9). p 488

  28. Alvandi A, Cremona C (2006) Assessment of vibration-based damage identification techniques. J Sound Vib 292:179–202

    Article  Google Scholar 

  29. Fan W, Qiao P (2010) Vibration-based damage identification methods: a review and comparative study. Struct Heal Monit 10:83–111

    Article  Google Scholar 

  30. Sazonov E, Klinkhachorn P (2005) Optimal spatial sampling interval for damage detection by curvature or strain energy mode shapes. J Sound Vib 285:783–801

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156, Milan, Italy

    Giorgio Busca

  2. Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, Piazza Leonardo Da Vinci 32, 20133, Milan, Italy

    Maria Pina Limongelli

Authors
  1. Giorgio Busca
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maria Pina Limongelli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Giorgio Busca.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Busca, G., Limongelli, M.P. An experimental evaluation of the reliability of a damage localization algorithm based on FRF interpolation. J Civil Struct Health Monit 5, 427–439 (2015). https://doi.org/10.1007/s13349-015-0126-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13349-015-0126-7

Keywords

Search

Navigation