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Assessment of a monumental masonry bell-tower after 2016 Central Italy seismic sequence by long-term SHM

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Abstract

The response of the San Pietro monumental bell-tower located in Perugia, Italy, to the 2016 Central Italy seismic sequence is investigated, taking advantage of the availability of field data recorded by a vibration-based SHM system installed in December 2014 to detect earthquake-induced damages. The tower is located about 85 km in the NW direction from the epicenter of the first major shock of the sequence, the Accumoli Mw6.0 earthquake of August 24th, resulting in a small local PGA of about 30 cm/s2, whereby near-field PGA was measured as 915.97 cm/s2 (E–W component) and 445.59 cm/s2 (N–S component). Similar PGA values also characterized the two other major shocks of the sequence (Ussita Mw5.9 and Norcia Mw6.5 earthquakes of October 26th and 30th, respectively). Despite the relatively low intensity of such earthquakes in Perugia, the analysis of long-term monitoring data clearly highlights that small permanent changes in the structural behavior of the bell-tower have occurred after the earthquakes, with decreases in all identified natural frequencies. Such natural frequency decays are fully consistent with what predicted by non-linear finite element simulations and, in particular, with the development of microcracks at the base of the columns of the belfry. Microcracks in these regions, and in the rest of tower, are however hardly distinguishable from pre-existing ones and from the physiological cracking of a masonry structure, what validates the effectiveness of the SHM system in detecting earthquake-induced damage at a stage where this is not yet detectable by visual inspections.

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References

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

    Article  Google Scholar 

  • Aras F, Krstevska L, Altay G, Tashkov L (2011) Experimental and numerical modal analyses of a historical masonry palace. Constr Build Mater 25:81–91

    Article  Google Scholar 

  • Bellino A, Fasana A, Garibaldi L, Marchesiello S (2010) PCA-based detection of damage in time-varying systems. Mech Syst Signal Process 24:2250–2260

    Article  Google Scholar 

  • Benedettini F, De Sortis A, Milana G (2017) In field data to correctly characterize the seismic response of buildings and bridges. Bull Earthq Eng 15(2):643–666

    Article  Google Scholar 

  • Bennati S, Nardini L, Salvatore W (2005) Dynamic behaviour of a medieval masonry bell tower. II. Measurement and modelling of the tower motion. J Struct Eng 131:1656–1664

    Article  Google Scholar 

  • Betti M, Facchini L, Biagini P (2015) Damage detection on a three-storey steel frame using artificial neural networks and genetic algorithms. Meccanica 50(2015):875–886

    Article  Google Scholar 

  • Bindi D, Luzi L, Pacor F, Sabetta F, Massa M (2009) Towards a new reference ground motion prediction equation for Italy: update of the Sabetta–Pugliese (1996). Bull Earthq Eng 7(3):591–608

    Article  Google Scholar 

  • Bindi D, Iervolino I, Parolai S (2016) On-site structure-specific real-time risk assessment: perspectives from the REAKT project. Bull Earthq Eng 14(9):2471–2493

    Article  Google Scholar 

  • Bodeux J, Golinval JC (2001) Application of ARMAV models to the identification and damage detection of mechanical and civil engineering structures. Smart Mater Struct 10(3):479

    Article  Google Scholar 

  • Brencich A, Sabia D (2008) Experimental identification of a multi-span masonry bridge: the Tanaro Bridge. Constr Build Mater 22:2087–2099

    Article  Google Scholar 

  • Casarin F, Modena C (2008) Seismic assessment of complex historical buildings: application to Reggio Emilia Cathedral, Italy. Int J Archit Herit 2(3):304–327

    Article  Google Scholar 

  • Cattaneo M, Augliera P, De Luca G, Gorini A, Govoni A, Marcucci S, Michelini A, Monachesi G, Spallarossa D, Trojani L, XGUMS (2000) The 1997 Umbria–Marche (Italy) earthquake sequence: analysis of the data recorded by the local and temporary networks. J Seismol 4(4):401–414

    Article  Google Scholar 

  • Cavalagli N, Comanducci G, Ubertini F (2017) Earthquake-induced damage detection in a monumental masonry bell-tower using long-term dynamic monitoring data. J Earthq Eng. doi:10.1080/13632469.2017.1323048

    Google Scholar 

  • Comanducci G, Ubertini F, Materazzi AL (2015) Structural health monitoring of suspension bridges with features affected by changing wind speed. J Wind Eng Ind Aerodyn 141:12–26

    Article  Google Scholar 

  • Comanducci G, Magalhães F, Ubertini F, Cunha A (2016) On vibration-based damage detection by multivariate statistical techniques: application to a long-span arch bridge. Struct Health Monit 15(5):505–524

    Article  Google Scholar 

  • Cross EJ, Worden K (2012) Cointegration and why it works for SHM. J Phys Conf Ser 382(1):012046

    Article  Google Scholar 

  • Cross E, Worden K, Chen Q (2011) Cointegration: a novel approach for the removal of environmental trends in structural health monitoring data. Proc R Soc Lond A Math Phys Eng Sci 467(2133):2717–2732

    Article  Google Scholar 

  • Cross E, Koo K, Brownjohn J, Worden K (2013) Long-term monitoring and data analysis of the Tamar Bridge. Mech Syst Signal Process 35(1–2):16–34

    Article  Google Scholar 

  • Cury A, Cremona C (2012) Assignment of structural behaviours in long-term monitoring: application to a strengthened railway bridge. Struct Health Monit 11(4):422–441

    Article  Google Scholar 

  • Deraemaeker A, Reynders E, De Roeck G, Kullaa J (2008) Vibration-based structural health monitoring using output-only measurements under changing environment. Mech Syst Signal Process 22(1):34–56

    Article  Google Scholar 

  • Dervilis N, Choi M, Taylor S, Barthorpe R, Park G, Farrar C, Worden K (2014) On damage diagnosis for a wind turbine blade using pattern recognition. J Sound Vib 333(6):1833–1850

    Article  Google Scholar 

  • Dervilis N, Worden K, Cross E (2015) On robust regression analysis as a means of exploring environmental and operational conditions for SHM data. J Sound Vib 347:279–296

    Article  Google Scholar 

  • Ditommaso R, Mucciarelli M, Parolai S, Picozzi M (2012) Monitoring the structural dynamic response of a masonry tower: comparing classical and time-frequency analyses. Bull Earthq Eng 10(4):1221–1235

    Article  Google Scholar 

  • Dolce M, Nicoletti M, De Sortis A, Marchesini S, Spina D, Talanas F (2017) Osservatorio sismico delle strutture: the Italian structural seismic monitoring network. Bull Earthq Eng 15(2):621–641

    Article  Google Scholar 

  • Farrar CR, Beck JL (2015) Special Issue of Earthquake Engineering and Structural Dynamics on earthquake engineering applications of structural health monitoring. Earthq Eng Struct Dyn 44(4):499–500

    Article  Google Scholar 

  • Farrar CR, Worden K (2012) Structural health monitoring: a machine learning Perspective. Wiley, Hoboken

    Book  Google Scholar 

  • Foti D, Diaferio M, Giannoccaro N, Mongelli M (2012) Ambient vibration testing, dynamic identification and model updating of a historic tower. NDT E Int 47:88–95

    Article  Google Scholar 

  • Fugate ML, Sohn H, Farrar CR (2001) Vibration-based damage detection using statistical process control. Mech Syst Signal Process 15(4):707–721

    Article  Google Scholar 

  • Fuller WA (2009) Introduction to statistical time series, vol 428. Wiley, Hoboken

    Google Scholar 

  • Gentile C, Gallino N (2008) Ambient vibration testing and structural evaluation of a historic suspension footbridge. Adv Eng Softw 39:356–366

    Article  Google Scholar 

  • Gentile C, Saisi A (2007) Ambient vibration testing of historic masonry towers for structural identification and damage assessment. Constr Build Mater 21:1311–1321

    Article  Google Scholar 

  • Gentile C, Saisi A (2013) Operational modal testing of historic structures at different levels of excitation. Constr Build Mater 48:1273–1285

    Article  Google Scholar 

  • Gentile C, Saisi A, Cabboi A (2015) Structural identification of a masonry tower based on operational modal analysis. Int J Archit Herit 9(2):98–110

    Article  Google Scholar 

  • Gentile C, Guidobaldi M, Saisi A (2016) One-year dynamic monitoring of a historic tower: damage detection under changing environment. Meccanica 51(11):2873–2889

    Article  Google Scholar 

  • Gorini A, Nicoletti M, Marsan P, Bianconi R, De Nardis R, Filippi L, Marcucci S, Palma F, Zambonelli E (2010) The Italian strong motion network. Bull Earthq Eng 8(5):1075–1090

    Article  Google Scholar 

  • Goulet J, Michel C, Kiureghian AD (2015) Data-driven post-earthquake rapid structural safety assessment. Earthq Eng Struct Dyn 44(4):549–562

    Article  Google Scholar 

  • Ivorra S, Pallars FJ (2006) Dynamic investigations on a masonry bell tower. Eng Struct 28(5):660–667

    Article  Google Scholar 

  • Jaishi B, Ren W, Zong Z, Maskey P (2003) Dynamic and seismic performance of old multitiered temples in Nepal. Eng Struct 25:1829–1839

    Article  Google Scholar 

  • Kambhatla N, Leen TK (1997) Dimension reduction by local principal component analysis. Neural Comput 9(7):1493–1516

    Article  Google Scholar 

  • Kaya Y, Safak E (2015) Real-time analysis and interpretation of continuous data from structural health monitoring (SHM) systems. Bull Earthq Eng 13(3):917–934

    Article  Google Scholar 

  • Lee J, Fenves G (1998) Plastic-damage model for cyclic loading of concrete structures. J Eng Mech 124:892–900

    Article  Google Scholar 

  • Lubliner J, Oliver J, Oller S, Onate E (1989) A plastic-damage model for concrete. Int J Solids Struct 25(3):229–326

    Article  Google Scholar 

  • Magalhães F, Cunha A, Caetano E (2009) Online automatic identification of the modal parameters of a long span arch bridge. Mech Syst Signal Process 23(2):316–329

    Article  Google Scholar 

  • 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  Google Scholar 

  • Mosavi A, Dickey D, Seracino R, Rizkalla S (2012) Identifying damage locations under ambient vibrations utilizing vector autoregressive models and Mahalanobis distances. Mech Syst Signal Process 26:254–267

    Article  Google Scholar 

  • NTC08 (2008) Norme Tecniche per le Costruzioni (in Italian). Italian Ministry of Infrastructures and Transport

  • Ntotsios E, Papadimitriou C, Panetsos P, Karaiskos G, Perros K, Perdikaris PC (2008) Bridge health monitoring system based on vibration measurements. Bull Earthq Eng 7(2):469

    Article  Google Scholar 

  • Oh CK, Sohn H (2009) Damage diagnosis under environmental and operational variations using unsupervised support vector machine. J Sound Vib 325(1–2):224–239

    Article  Google Scholar 

  • Pacor F, Paolucci R, Luzi L, Sabetta F, Spinelli A, Gorini A, Nicoletti M, Marcucci S, Filippi L, Dolce M (2011) Overview of the Italian strong motion database ITACA 1.0. Bull Earthq Eng 9(6):1723–1739

    Article  Google Scholar 

  • Pea F, Lourenço PB, Mendes N, Oliveira DV (2010) Numerical models for the seismic assessment of an old masonry tower. Eng Struct 32(5):1466–1478

    Article  Google Scholar 

  • Peeters B, De Roeck G (2001) One-year monitoring of the Z 24-Bridge: environmental effects versus damage events. Earthq Eng Struct 30(2):149–171

    Article  Google Scholar 

  • Pitilakis K, Karapetrou S, Bindi D, Manakou M, Petrovic B, Roumelioti Z, Boxberger T, Parolai S (2016) Structural monitoring and earthquake early warning systems for the AHEPA hospital in Thessaloniki. Bull Earthq Eng 14(9):2543–2563

    Article  Google Scholar 

  • Ponzo FC, Ditommaso R, Auletta G, Mossucca A (2010) A fast method for structural health monitoring of Italian reinforced concrete strategic buildings. Bull Earthq Eng 8(6):1421–1434

    Article  Google Scholar 

  • Rainieri C, Fabbrocino G (2010) Automated output-only dynamic identification of civil engineering structures. Mech Syst Signal Process 24(3):678–695

    Article  Google Scholar 

  • Ramos L, Marques L, Lourenço P, DeRoeck G, Campos-Costa A, Roque J (2010) Monitoring historical masonry structures with operational modal analysis: two case studies. Mech Syst Signal Process 24:1291–1305

    Article  Google Scholar 

  • Ramos L, Aguilar R, Lourenço P (2011) Operational modal analysis of historical constructions using commercial wireless platforms. Struct Health Monit 10:511–521

    Article  Google Scholar 

  • Ren W, De Roeck G (2002a) Structural damage identification using modal data. I: simulation verification. J Struct Eng 128:87–95

    Article  Google Scholar 

  • Ren W, De Roeck G (2002b) Structural damage identification using modal data. II: test verification. J Struct Eng 2002128:96–104

    Article  Google Scholar 

  • Reynders E, Houbrechts J, Roeck GD (2012) Fully automated (operational) modal analysis. Mech Syst Signal Process 29:228–250

    Article  Google Scholar 

  • Saisi A, Gentile C, Guidobaldi M (2015) Post-earthquake continuous dynamic monitoring of the Gabbia Tower in Mantua, Italy. Constr Build Mater 81:101–112

    Article  Google Scholar 

  • Salawu OS (1997) Detection of structural damage through changes in frequency: a review. Eng Struct 19(9):718–723

    Article  Google Scholar 

  • Simulia (2010) Abaqus analysis user’s Manual. Volume III: Materials. Dessault Systemes, USA

  • Sohn H, Worden K, Farrar CR (2002) Statistical damage classification under changing environmental and operational conditions. J Intell Mater Syst Struct 13(9):561–574

    Article  Google Scholar 

  • Spina D, Lamonaca BG, Nicoletti M, Dolce M (2011) Structural monitoring by the Italian Department of Civil Protection and the case of 2009 Abruzzo seismic sequence. Bull Earthq Eng 9(1):325–346

    Article  Google Scholar 

  • Ubertini F, Gentile C, Materazzi AL (2013) Automated modal identification in operational conditions and its application to bridges. Eng Struct 46:264–278

    Article  Google Scholar 

  • Ubertini F, Comanducci G, Cavalagli N (2016) Vibration-based structural health monitoring of a historic bell-tower using output-only measurements and multivariate statistical analysis. Struct Health Monit 15(4):438–457

    Article  Google Scholar 

  • Ubertini F, Comanducci G, Cavalagli N, Pisello AL, Materazzi AL, Cotana F (2017) Environmental effects on natural frequencies of the San Pietro bell tower in Perugia, Italy, and their removal for structural performance assessment. Mech Syst Signal Process 82:307–322

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Vidal F, Navarro M, Aranda C, Enomoto T (2014) Changes in dynamic characteristics of Lorca RC buildings from pre- and post-earthquake ambient vibration data. Bull Earthq Eng 12(5):2095–2110

    Article  Google Scholar 

  • Worden K, Manson G, Fieller N (2000) Damage detection using outlier analysis. J Sound Vib 229(3):647–667

    Article  Google Scholar 

  • Worden K, Sohn H, Farrar C (2002) Novelty detection in a changing environment: regression and interpolation approaches. J Sound Vib 258(4):741–761

    Article  Google Scholar 

  • Yan A, Kerschen G, De Boe P, Golinval J (2005a) Structural damage diagnosis under varying environmental conditions part I: a linear analysis. Mech Syst Signal Process 19(4):847–864

    Article  Google Scholar 

  • Yan A, Kerschen G, De Boe P, Golinval J (2005b) Structural damage diagnosis under varying environmental conditions part II: local pca for non-linear cases. Mech Syst Signal Process 19(4):865–880

    Article  Google Scholar 

  • Yong L, Feng G (2005) A novel time-domain auto-regressive model for structural damage diagnosis. J Sound Vib 283(3):1031–1049

    Google Scholar 

Download references

Acknowledgements

This project has received funding from the European Union’s Framework Programme for Research and Innovation HORIZON 2020 under Grant Agreement No. 700395.

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Correspondence to Filippo Ubertini.

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Ubertini, F., Cavalagli, N., Kita, A. et al. Assessment of a monumental masonry bell-tower after 2016 Central Italy seismic sequence by long-term SHM. Bull Earthquake Eng 16, 775–801 (2018). https://doi.org/10.1007/s10518-017-0222-7

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  • DOI: https://doi.org/10.1007/s10518-017-0222-7

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