Skip to main content
Log in

Passive Methods for the Fast Seismic Characterization of Structures: The Case of Silea Bridge

  • Research Paper
  • Published:
International Journal of Civil Engineering Aims and scope Submit manuscript

An Erratum to this article was published on 29 April 2017

This article has been updated

Abstract

This paper provides useful information about a passive method, usually applied on soils, for defining the frequencies of most infrastructures. Today, the eigen-frequency determination is one of the most significant and binding requirement aspects, especially in relation to the recent earthquakes in Italy (Accumoli, Norcia 2016; Finale Emilia 2012; L’Aquila 2009). The development of inexpensive, fast and reliable procedures to define the eigen-frequency of construction in general and of infrastructures in particular, is the aim of modern civil engineering. Currently, experimental tests are widely applied to evaluate the dynamic behavior of bridges. While the natural frequencies of a structure can be determined using different methods, passive methods are attractive because of their low costs and easy and fast procedures. In this paper, two passive methods, called standard spectral ratio (SSR) and horizontal to vertical spectral ratio (HVSR), are introduced and analyzed. The two methods are applied to estimate the frequencies in the transversal direction of a composite steel-concrete viaduct recently built in Italy. The comparison of the results obtained from SSR and HVSR and a finite element model confirms the possibility of applying the two methods for the dynamic characterization of bridges. In particular, the SSR method provides a correct estimation of the lower order natural frequencies and their degree of amplification. HVSR, which is typically used only on soil studies, provides a reliable early estimation of the frequency of a structure, if the latter is flexible, compared to the soil characteristics. The HVSR method is directly applied to the viaduct, so that an analogy is created between the soil layer and the structural elements. This paper is intended to show how the HVSR method typically applied to soil can reach good results in the dynamic characterization of Silea steel-concrete viaduct.

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
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

Change history

  • 29 April 2017

    An erratum to this article has been published.

References

  1. Morbin R, Zanini MA, Pellegrino C, Zhang H, Modena C (2015) A probabilistic strategy for seismic assessment and FRP retrofitting of existing bridges. Bull Earthq Eng 13(8):2411–2428

    Article  Google Scholar 

  2. Zanini MA, Faleschini F, Pellegrino C (2016) Cost analysis for maintenance and seismic retrofit of existing bridges. Struct Infrastruct Eng 12(11):1411–1427

    Google Scholar 

  3. Pellegrino C, Zanini MA, Zampieri P, Modena C (2014) Contribution of in situ and laboratory investigations for assessing seismic vulnerability of existing bridges. Struct Infrastruct Eng 11(9):1147–1162

    Article  Google Scholar 

  4. Zampieri P, Zanini MA, Modena C (2015) Simplified seismic assessment of multi-span masonry arch bridges. Bull Earthq Eng 13(9):2629–2646

    Article  Google Scholar 

  5. Bergamo O, Russo G, Donadello S (2014) Retrofitting of the historic castagnara bridge in Padua, Italy, with fibre reinforced plastic elements. Struct Eng Int 24(4):532–543

    Article  Google Scholar 

  6. O. Bergamo, G. Campione, S. Donadello, G. Russo (2015) In-situ NDT testing procedure as an integral part of failure analysis of historical masonry arch bridges. Eng Fail Anal 57:31–55

    Google Scholar 

  7. Russo G, Bergamo O, Donadello S (2010) “Il viadotto di Dolcè”: analisi sismica delle pile secondo la normativa italiana e l’Eurocodice”. Ing Sismica 27(2):49–61

    Google Scholar 

  8. He X et al (2005) System identification of New Carquinez Bridge using ambient vibration data. Actes des journées scientifiques du LCPC 71–78

  9. Bard PY (1998) A tool for site effect estimation? Proceedings of the second international symposium on the effect of surface geology on seismic motion 25–33

  10. Bergamo O (2016) Application of an integrated seismic isolation system in bridge design: three viaducts in Venice, Italy. Struct Eng Int 26(4):375–380

    Article  Google Scholar 

  11. Garcia-Jerez A et al (2007) Shallow velocity structure using joint inversion of array and h/v spectral ratio of ambient noise: the case of Mula town (SE of Spain). Soil Dyn Earthq Eng 27(10):907–919

    Article  Google Scholar 

  12. Bergamo O, Campione G, Cucchiara C, Russo G (2016) Structural behavior of the old masonry bridge in the Gulf of Castellammare. Eng Fail Anal 62:188–198

    Article  Google Scholar 

  13. Russo G, Bergamo O, Damiani L (2009) Retrofitting a short span bridge with a semi-integral abutment bridge: the Treviso bridge. Struct Eng Int J Int Assoc Bridg Struct Eng 19(2):137–141

    Google Scholar 

  14. Nakamura Y (1989) A method for dynamic characteristics estimation of subsurface using microtremor on the ground surface. Quarterly Report of the Railway Technical Reasearch Institute 30, pp 25–33

  15. Nakamura Y (2000) Clear identification of fundamental idea of Nakamura’s technique and its applications. In: Proceedings of the 12th world conference on earthquake engineering, vol. 2656

  16. Russo G, Bergamo O, Damiani L, Lugato D (2010) Experimental analysis of the ‘Saint Andrea’ Masonry Bell Tower in Venice. A new method for the determination of ‘Tower Global Young’s Modulus E’. Eng Struct 32(2):353–360

    Article  Google Scholar 

  17. Bergamo O, Campione G, Russo G (2016) Testing of “Global Young's Modulus E” on a rehabilitated masonry bell tower in Venice. Eng Fail Anal 74:202–217

    Article  Google Scholar 

  18. M. Valente G. Milani (2016) Seismic assessment of historical masonry towers by means of simplified approaches and standard FEM. Constr Build Mater 108:74–104

    Google Scholar 

  19. Hadianfard MA, Rabiee R, Sarshad A (2016) Assessment of vulnerability and dynamic characteristics of a historical building using microtremor measurements. Int J Civ Eng 1–9

  20. Barazza F, Malisan P, Carniel R (2009) Improvement of H/V technique by rotation of the coordinate system. Commun Nonlinear Sci Numer Simul 14(1):182–193

    Article  Google Scholar 

  21. Carniel R, Barazza F, Pascolo P (2006) Improvement of Nakamura technique by singular spectrum analysis. Soil Dyn Earthq Eng 26(1):55–63

    Article  MATH  Google Scholar 

  22. Carniel R, Malisan P, Barazza F, Grimaz S (2008) Improvement of HVSR technique by wavelet analysis. Soil Dyn Earthq Eng 28(4):321–327

    Article  Google Scholar 

  23. Carniel R, Barbui L, Malisan P (2009) Improvement of HVSR technique by self-organizing map (SOM) analysis. Soil Dyn Earthq Eng 29(6):1097–1101

    Article  Google Scholar 

  24. Siringoringo DM, Fujino Y (2008) System identification of suspension bridge from ambient vibration response. Eng Struct 30(2):462–477

    Article  Google Scholar 

  25. Cheng X, Dong J, Han X, Fei Q (2016) Structural health monitoring-oriented finite-element model for a large transmission tower. Int J Civ Eng 1–14

  26. Shahrouzi M, Nouri G, Salehi N (2016) Optimal seismic control of steel bridges by single and multiple tuned mass dampers using charged system search. Int J Civ Eng 1–10

  27. Pauletta M, Battocchio E, Russo G (2015) A weathering steel elastomer joint for the connection between new and existing bridges. Eng Struct 105:264–276

    Article  Google Scholar 

  28. Russo G, Pauletta M (2013) Sliding instability of fiber-reinforced elastomeric isolators in unbonded applications. Eng Struct 48:70–80

    Article  Google Scholar 

  29. Bayraktar A, Altunişik AC, Türker T (2016) Structural condition assessment of birecik highway bridge using operational modal analysis. Int J Civ Eng 14(1):35–46

    Article  Google Scholar 

  30. Stabile TA, Perrone A, Gallipoli MR, Ditommaso R, Ponzo FC (2013) Dynamic survey of the Musmeci bridge by joint application of ground-based microwave radar interferometry and ambient noise standard spectral ratio techniques. IEEE Geosci Remote Sens Lett 10(4):870–874

    Article  Google Scholar 

Download references

Acknowledgements

The authors wish to thank the seismology group coordinated by M. Riuscetti and F. Barazza for the instrumentation, G. Russo and I. Pitacco for the useful discussions, E. Del Pin for their general help in the tremor data acquisition.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Otello Bergamo.

Ethics declarations

Funding

No funding Information available.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bergamo, O., Pignat, M. & Puca, C. Passive Methods for the Fast Seismic Characterization of Structures: The Case of Silea Bridge. Int J Civ Eng 16, 807–822 (2018). https://doi.org/10.1007/s40999-017-0204-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40999-017-0204-9

Keywords

Navigation