Skip to main content
Log in

Damage identification in a parabolic arch by means of natural frequencies, modal shapes and curvatures

  • Nonlinear Dynamics, Identification and Monitoring of Structures
  • Published:
Meccanica Aims and scope Submit manuscript

Abstract

This paper investigates damage identification techniques based on the difference of modal frequencies, shapes and curvatures in the damaged and undamaged states of the structure. The sensitivity of the identification algorithm with respect to damage parameters is discussed and the minimum number of measured quantities to identify the damage is assessed. It is shown that modal curvatures can be effectively used to pre-localise the damage and to add a penalty term in the objective function which weighs the difference between natural frequencies and modal displacements. Such a term improves the local convexity of the objective function and enhances the convergence rate of the minimization algorithm. The procedure is validated against the results of the experiments on a parabolic arch carried out by the authors. The advantages of such an approach compared to techniques solely based on frequencies are that the ill-conditioning of the inverse problem is reduced and a more accurate estimate of the damage parameters is achieved.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Farrar CR, Lieven NJ (2007) Damage prognosis: the future of structural health monitoring. Philos Trans R Soc A 365:623–632

    Article  ADS  Google Scholar 

  2. Fan YF, Zhou J, Hu ZQ, Zhu T (2007) Study on mechanical response of an old reinforced concrete arch bridge. Struct Control Health Monit 14(6):876–894

    Article  Google Scholar 

  3. Jiang S, Xu F, Fu C (2010) Intelligent damage identification model of an arch bridge based on box-counting dimension and probabilistic neural network. J Comput Inf Syst 6(4):1185–1192

    Google Scholar 

  4. Magalhães F, Cunha A, Caetano E (2012) Vibration based structural health monitoring of an arch bridge: from automated OMA to damage detection. Mech Syst Signal Process 28:212–228

    Article  ADS  Google Scholar 

  5. Benedettini F, Capecchi D (1988) A perturbation technique in sensitivity analysis of elastic structures. Meccanica 23(1):5–10

    MATH  Google Scholar 

  6. Vestroni F, Capecchi D (2000) Damage detection in beam structures based on frequency measurements. J Eng Mech 126(7):761–768

    Article  Google Scholar 

  7. Montalvao D (2006) A Review of vibration-based structural health monitoring with special emphasis on composite materials. Shock Vib Dig 38(4):295–324

    Article  Google Scholar 

  8. Papadimitriou C, Ntotsios E, Giagopoulos D, Natsiavas S (2012) Variability of updated finite element models and their predictions consistent with vibration measurements. Struct Control Health Monit 19(5):630–654

    Article  Google Scholar 

  9. Nguyen VV, Dackermann U, Li J, Alamdari MM, Mustapha S, Runcie P, Ye L (2015) Damage identification of a concrete arch beam based on frequency response functions and artificial neural networks. Electron J Struct Eng 14(1):75–84

    Google Scholar 

  10. Vestroni F, Pau A (2011) Dynamic characterization and damage identification in dynamic inverse problems: theory and application. In: Gladwell GMR, Morassi A (eds) CISM Courses and Lectures, n. 529, pp 151–178

  11. Cerri MN, Vestroni F (2003) Identification of damage due to open cracks by changes of measured frequencies. In: Proceedings of XVI AIMETA congress of theoretical and applied mechanics, Ferrara

  12. Kim J-T, Ryu Y, Cho H, Stubbs N (2003) Damage identification in beam-type structures: frequency-based method vs mode-shape-based method. Eng Struct 25(1):57–67

    Article  Google Scholar 

  13. Greco A, Pau A (2012) Damage identification in Euler frames. Comput Struct 92–93:328–336

    Article  Google Scholar 

  14. Cerri MN, Ruta GC (2004) Detection of localised damage in plane circular arches by frequency data. J Sound Vib 270(1–2):39–59

    Article  ADS  Google Scholar 

  15. Cerri MN, Dilena M, Ruta GC (2008) Vibration and damage detection in undamaged and cracked circular arches: experimental and analytical results. J Sound Vib 314(1–2):83–94

    Article  ADS  Google Scholar 

  16. Dessi D, Camerlengo G (2015) Damage identification techniques via modal curvature analysis: overview and comparison. Mech Syst Signal Process 52–53:181–205

    Article  Google Scholar 

  17. Ciambella J, Vestroni F (2015) The use of modal curvatures for damage localization in beam-type structures. J Sound Vib 340:126–137

    Article  ADS  Google Scholar 

  18. Pandey AK, Biswas M, Samman MM (1991) Damage detection from changes in curvature mode shapes. J Sound Vib 145(2):321–332

    Article  ADS  Google Scholar 

  19. Ciambella J, Vestroni F, Vidoli S (2011) Damage observability, localization and assessment based on eigenfrequencies and eigenvectors curvatures. Smart Struct Syst 8(2):191–204

    Article  Google Scholar 

  20. Chandrashekhar M, Ganguli R (2009) Damage assessment of structures with uncertainty by using mode-shape curvatures and fuzzy logic. J Sound Vib 326(3–5):939–957

    Article  ADS  Google Scholar 

  21. Cao M, Radzieński M, Xu W, Ostachowicz W (2014) Identification of multiple damage in beams based on robust curvature mode shapes. Mech Syst Signal Process 46(2):468–480

    Article  ADS  Google Scholar 

  22. Dilena M, Morassi A (2011) Dynamic testing of a damaged bridge. Mech Syst Signal Process 25(5):1485–1507

    Article  ADS  Google Scholar 

  23. He S, Rose LRF, Wang CH (2013) A numerical study to quantify delamination damage of composite structures using inverse the method. Aust J MultiDiscip Eng 10(2):145–153

    Google Scholar 

  24. Quaranta G, Carboni B, Lacarbonara W (2016) Damage detection by modal curvatures: numerical issues. J Vib Control 22(7):1913–1927 (first published online 2014)

    Article  MathSciNet  Google Scholar 

  25. Cao M, Xu W, Ostachowicz W, Su Z (2014) Damage identification for beams in noisy conditions based on Teager energy operator-wavelet transform modal curvature. J Sound Vib 333(6):1543–1553

    Article  ADS  Google Scholar 

  26. Cao M, Qiao P (2009) Novel Laplacian scheme and multiresolution modal curvatures for structural damage identification. Mech Syst Signal Process 23(4):1223–1242

    Article  ADS  Google Scholar 

  27. Pau A, Greco A, Vestroni F (2011) Numerical and experimental detection of concentrated damage in a parabolic arch by measured frequency variations. J Vib Control 17(4):605–614

    Article  MathSciNet  Google Scholar 

  28. Chidamparam P, Leissa AW (1993) Vibrations of planar curved beams, rings and arches. Appl Mech Rev 46(9):467–483

    Article  ADS  Google Scholar 

  29. Lestari W, Qiao P, Hanagud S (2007) Curvature mode shape-based damage assessment of carbon/epoxy composite beams. J Intell Mater Syst Struct 18(3):189–208

    Article  Google Scholar 

  30. Unger JF, Teughels A, De Roeck G (2006) System identification and damage detection of a prestressed concrete beam. J Struct Eng 132(11):1691

    Article  Google Scholar 

  31. Abdel Wahab M, De Roeck G (1999) Damage detection in bridges using modal curvatures: application to a real damage scenario. J Sound Vib 226(2):217–235

    Article  ADS  Google Scholar 

  32. Ewins DJ (2000) Modal testing, theory, practice, and application, 2nd edn. Research Studies Press, Baldock

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Annamaria Pau.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Capecchi, D., Ciambella, J., Pau, A. et al. Damage identification in a parabolic arch by means of natural frequencies, modal shapes and curvatures. Meccanica 51, 2847–2859 (2016). https://doi.org/10.1007/s11012-016-0510-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11012-016-0510-3

Keywords

Navigation