Performance-based seismic assessment of a historical masonry arch bridge: Effect of pulse-like excitations

Abstract

Seismic analysis of historical masonry bridges is important for authorities in all countries hosting such cultural heritage assets. The masonry arch bridge investigated in this study was built during the Roman period and is on the island of Rhodes, in Greece. Fifteen seismic records were considered and categorized as far-field, pulse-like near-field, and non-pulse-like near-field. The earthquake excitations were scaled to a target spectrum, and nonlinear time-history analyses were performed in the transverse direction. The performance levels were introduced based on the pushover curve, and the post-earthquake damage state of the bridge was examined. According to the results, pulse-like near-field events are more damaging than non-pulse-like near-field ground motions. Additionally the bridge is more vulnerable to far-field excitations than near-field events. Furthermore, the structure will suffer extensive post-earthquake damage and must be retrofitted.

Graphical abstract

Keywords

masonry arch bridges / seismic behavior / modal properties / pulse-like records / nonlinear time history analysis

References

[1] Khosrowjerdi S, Sarkardeh H, Kioumarsi M. Effect of wind load on different heritage dome buildings. European Physical Journal Plus, 2021, 136(11): 1180

[2] van Beek G W. Arches and vaults in the ancient Near East. Scientific American, 1987, 257(1): 96–103

[3] Sarhosis V, de Santis S, de Felice G. A review of experimental investigations and assessment methods for masonry arch bridges. Structure and Infrastructure Engineering, 2016, 12: 1439–1464

[4] Gönen S, Soyöz S. Seismic analysis of a masonry arch bridge using multiple methodologies. Engineering Structures, 2021, 226: 111354

[5] Shabani A, Kioumarsi M, Zucconi M. State of the art of simplified analytical methods for seismic vulnerability assessment of unreinforced masonry buildings. Engineering Structures, 2021, 239: 112280

[6] Yekrangnia M, Mobarake A A. Restoration of historical Al-Askari shrine. II: Vulnerability assessment by numerical simulation. Journal of Performance of Constructed Facilities, 2016, 30(3): 04015031

[7] Brencich A, de Francesco U. Assessment of multispan masonry arch bridges. I: Simplified approach. Journal of Bridge Engineering, 2004, 9(6): 582–590

[8] de Felice G. Assessment of the load-carrying capacity of multi-span masonry arch bridges using fibre beam elements. Engineering Structures, 2009, 31(8): 1634–1647

[9] de Santis S, de Felice G. A fibre beam-based approach for the evaluation of the seismic capacity of masonry arches. Earthquake Engineering & Structural Dynamics, 2014, 43(11): 1661–1681

[10] Audenaert A, Fanning P, Sobczak L, Peremans H. 2-D analysis of arch bridges using an elasto-plastic material model. Engineering Structures, 2008, 30(3): 845–855

[11] Zampieri P, Zanini M A, Faleschini F, Hofer L, Pellegrino C. Failure analysis of masonry arch bridges subject to local pier scour. Engineering Failure Analysis, 2017, 79: 371–384

[12] Fanning P, Sobczak L, Boothby T E, Salomoni V. Load testing and model simulations for a stone arch bridge. Bridge Structures, Assessment, Design and Construction, 2005, 1: 367–378

[13] Milani G, Lourenco P B. 3D non-linear behavior of masonry arch bridges. Computers & Structures, 2012, 110: 133–150

[14] Hokelekli E, Yilmaz B N. Effect of cohesive contact of backfill with arch and spandrel walls of a historical masonry arch bridge on seismic response. Periodica Polytechnica. Civil Engineering, 2019, 63: 926–937

[15] Bayraktar A, Hökelekli E. Seismic performances of different spandrel wall strengthening techniques in masonry arch bridges. International Journal of Architectural Heritage, 2021, 15(11): 1722–1740

[16] Banerji P, Chikermane S. Condition assessment of a heritage arch bridge using a novel model updation technique. Journal of Civil Structural Health Monitoring, 2012, 2(1): 1–16

[17] Zampieri P, Tetougueni C D, Pellegrino C. Nonlinear seismic analysis of masonry bridges under multiple geometric and material considerations: Application to an existing seven-span arch bridge. Structures, 2021, 34: 78–94

[18] van Langen H, Vermeer P. Interface elements for singular plasticity points. International Journal for Numerical and Analytical Methods in Geomechanics, 1991, 15(5): 301–315

[19] Herrmann L R. Finite element analysis of contact problems. Journal of the Engineering Mechanics Division, 1978, 104(5): 1043–1057

[20] Zhang S, Wang G. Effects of near-fault and far-fault ground motions on nonlinear dynamic response and seismic damage of concrete gravity dams. Soil Dynamics and Earthquake Engineering, 2013, 53: 217–229

[21] Pang Y T, Cai L, Zhong J. Seismic performance evaluation of fiber-reinforced concrete bridges under near-fault and far-field ground motions. Structures, 2020, 28: 1366–1383

[22] Yekrangnia M, Bakhshi A, Ghannad M A, Panahi M. Risk assessment of confined unreinforced masonry buildings based on FEMA P-58 methodology: A case study—School buildings in Tehran. Bulletin of Earthquake Engineering, 2021, 19(2): 1079–1120

[23] Sevim B, Atamturktur S, Altunişik A C, Bayraktar A. Ambient vibration testing and seismic behavior of historical arch bridges under near and far fault ground motions. Bulletin of Earthquake Engineering, 2016, 14(1): 241–259

[24] Simos N, Manos G C, Kozikopoulos E. Near- and far-field earthquake damage study of the Konitsa stone arch bridge. Engineering Structures, 2018, 177: 256–267

[25] Güllü H, Özel F. Microtremor measurements and 3D dynamic soil–structure interaction analysis for a historical masonry arch bridge under the effects of near- and far-fault earthquakes. Environmental Earth Sciences, 2020, 79(13): 338

[26] Özmen A, Sayın E. Seismic response of a historical masonry bridge under near and far-fault ground motions. Periodica Polytechnica Civil Engineering, 2021, 65: 946–958

[27] Labbé P, Altinyollar A. Conclusions of an IAEA–JRC research project on the safety significance of near-field seismic motions. Nuclear Engineering and Design, 2011, 241(5): 1842–1856

[28] Baker J W. Quantitative classification of near-fault ground motions using wavelet analysis. Bulletin of the Seismological Society of America, 2007, 97(5): 1486–1501

[29] Shahi S K, Baker J W. An efficient algorithm to identify strong-velocity pulses in multicomponent ground motions. Bulletin of the Seismological Society of America, 2014, 104(5): 2456–2466

[30] Chang Z, Sun X, Zhai C, Zhao J X, Xie L. An improved energy-based approach for selecting pulse-like ground motions. Earthquake Engineering & Structural Dynamics, 2016, 45(14): 2405–2411

[31] Dimakopoulou V, Fragiadakis M, Taflampas I. A wavelet-based approach for truncating pulse-like records. Bulletin of Earthquake Engineering, 2022, 20(1): 1–24

[32] Daei A, Poursha M, Zarrin M. Seismic performance evaluation of code-compliant RC moment-resisting frame buildings subjected to near-fault pulse-like and non-pulse-like ground motions. Journal of Earthquake Engineering, 2021, 26(10): 5058–5085

[33] Zuo Z, Gong M, Sun J, Zhang H. Seismic performance of RC frames with different column-to-beam flexural strength ratios under the excitation of pulse-like and non-pulse-like ground motion. Bulletin of Earthquake Engineering, 2021, 19(12): 5139–5159

[34] Wibowo H, Sritharan S. Effects of vertical ground acceleration on the seismic moment demand of bridge superstructure connections. Engineering Structures, 2022, 253: 113820

[35] Kohrangi M, Vamvatsikos D, Bazzurro P. Pulse-like versus non-pulse-like ground motion records: Spectral shape comparisons and record selection strategies. Earthquake Engineering & Structural Dynamics, 2019, 48(1): 46–64

[36] Orfeo B, Todisco L, León J. Construction process of vaults in masonry bridges: The importance of centrings. International Journal of Architectural Heritage, 2022, 16(7): 1032–1046

[37] Gençer F U, Turan M H. The masonry techniques of a historical bridge in Hypokremnos (İçmeler). Metu Journal of the Faculty of Architecture, 2017, 34(1): 187–207

[38] Pagani M, Garcia-Pelaez J, Gee R, Johnson K, Poggi V, Silva V, Simionato M, Styron R, Viganò D, Danciu L, Monelli D, Weatherill G. The 2018 version of the global earthquake model: Hazard component. Earthquake Spectra, 2020, 36(1_suppl): 226–251

[39] Stiros S, Papageorgiou S, Kontogianni V, Psimoulis P. Church repair swarms and earthquakes in Rhodes Island, Greece. Journal of Seismology, 2006, 10(4): 527–537

[40] Howell A, Jackson J, England P, Higham T, Synolakis C. Late Holocene uplift of Rhodes, Greece: Evidence for a large tsunamigenic earthquake and the implications for the tectonics of the eastern Hellenic Trench System. Geophysical Journal International, 2015, 203(1): 459–474

[41] Shabani A, Alinejad A, Teymouri M, Costa A N, Shabani M, Kioumarsi M. Seismic vulnerability assessment and strengthening of heritage timber buildings: A review. Buildings, 2021, 11(12): 661

[42] Tapinaki S, Skamantzari M, Anastasiou A, Koutros S, Syrokou E, Georgopoulos A. 3D holistic documentation of heritage monuments in Rhodes. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021, XLVI-M-1-2021: 739–744

[43] Kolokoussis P, Skamantzari M, Tapinaki S, Karathanassi V, Georgopoulos A. 3D and hyperspectral data integration for assessing material degradation in medieval masonry heritage buildings. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021, XLIII-B2-2021: 583–590

[44] Shabani A, Skamantzari M, Tapinaki S, Georgopoulos A, Plevris V, Kioumarsi M. 3D simulation models for developing digital twins of heritage structures: Challenges and strategies. Procedia Structural Integrity, 2022, 37: 314–320

[45] DIANA. Version 10.4. Delft: DIANA FEA BV. 2020

[46] Plevris V, Asteris P G. Modeling of masonry failure surface under biaxial compressive stress using Neural Networks. Construction & Building Materials, 2014, 55: 447–461

[47] D’Altri A M, Sarhosis V, Milani G, Rots J, Cattari S, Lagomarsino S, Sacco E, Tralli A, Castellazzi G, de Miranda S. Modeling strategies for the computational analysis of unreinforced masonry structures: Review and classification. Archives of Computational Methods in Engineering, 2020, 27(4): 1153–1185

[48] AsterisP GChronopoulos M PChrysostomouC ZVarumHPlevrisV KyriakidesNSilva V. Seismic vulnerability assessment of historical masonry structural systems. Engineering Structures, 2014, 62–63: 118–134

[49] AsterisP GSarhosis VMohebkhahAPlevrisVPapaloizou LKomodromosPLemosJ V. Numerical modeling of historic masonry structures. In: Asteris P G, Plevris V, eds. Handbook of Research on Seismic Assessment and Rehabilitation of Historic Structures. Hershey, PA: IGI Global, 2015, 213–256

[50] KioumarsiMPlevris VShabaniA. Vulnerability assessment of cultural heritage structures. In: The 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022). Oslo: Scipedia, 2022, C52

[51] Fanning P J, Boothby T E. Three-dimensional modelling and full-scale testing of stone arch bridges. Computers & Structures, 2001, 79(29−30): 2645–2662

[52] Aytulun E, Soyoz S, Karcioglu E. System identification and seismic performance assessment of a stone arch bridge. Journal of Earthquake Engineering, 2022, 26(2): 723–743

[53] WangJ. Numerical modelling of masonry arch bridges: Investigation of spandrel wall failure. Dissertation for the Doctoral Degree. Bath: University of Bath, 2014

[54] SelbyR G. Three-dimensional constitutive relations for reinforced concrete. Dissertation for the Doctoral Degree. Toronto: University of Toronto, 1993

[55] RotsJ G. Computational modeling of concrete fracture. Dissertation for the Doctoral Degree. Delft: Delft University of Technology, 1988

[56] PsycharisI NAvgenakisETaflampas I MKroustallakiMFarmakidouEPikoulaM MichailidouMMoropoulouA. Seismic response of the Temple of Pythian Apollo in Rhodes Island and recommendations for its restoration. In: Osman A, Moropoulou A, eds. Nondestructive Evaluation and Monitoring Technologies, Documentation, Diagnosis and Preservation of Cultural Heritage. Berlin: Springer, 2019, 160–177

[57] GhiassiBVermelfoort A TLourençoP B. Chapter 7—Masonry mechanical properties. In: Ghiassi B, Milani G, eds. Numerical Modeling of Masonry and Historical Structures. Sawston: Woodhead Publishing, 2019, 239–261

[58] ForgácsTRendesSÁdány SSarhosisV. Mechanical role of spandrel walls on the capacity of masonry arch bridges. In: Proceedings of ARCH 2019. Berlin: Springer, 2020, 221–229

[59] Bayraktar A, Türker T, Altunişik A C. Experimental frequencies and damping ratios for historical masonry arch bridges. Construction & Building Materials, 2015, 75: 234–241

[60] Onat O. Impact of mechanical properties of historical masonry bridges on fundamental vibration frequency. Structures, 2020, 27: 1011–1028

[61] PEER. PEER Ground Motion Database. Berkeley, CA: University of California, 2021

[62] EN1998-1. Eurocode 8: Design of Structures for Earthquake Resistance-Part 1: General Rules, Seismic Actions and Rules for Buildings. Brussels: European Committee for Standardization, 2004

[63] Karatzetzou A, Pitilakis D, Karafagka S. System identification of mosques resting on soft soil. The case of the Suleiman Mosque in the Medieval City of Rhodes, Greece. Geosciences, 2021, 11(7): 275

[64] FEMAP695. Quantification of Building Seismic Performance Factors. Washington, D.C.: Federal Emergency Management Agency, 2009

[65] Giardini D, Wössner J, Danciu L. Mapping Europe’s seismic hazard. Eos, Transactions American Geophysical Union, 2014, 95(29): 261–262

[66] PitilakisKRiga ERoumeliotiZ. The urgent need for an improvement of the Greek seismic code based on a new seismic hazard map for Europe and a new site classification system. In: Kavvadas M, ed. Jubilee Volume, Andreas Anagnostopoulos, 50 Years of Service at The National Technical University of Athens. Athens: Tsotras, 2016, 437–461

[67] SeismoMatch:Earthquake software for response spectrum matching. Version 2021. Pavia: SeismoSoft–Earthquake Engineering Software Solutions. 2021

[68] Al Atik L, Abrahamson N. An improved method for nonstationary spectral matching. Earthquake Spectra, 2010, 26(3): 601–617

[69] Bertolesi E, Milani G, Lopane F D, Acito M. Augustus Bridge in Narni (Italy): Seismic vulnerability assessment of the still standing part, possible causes of collapse, and importance of the Roman concrete infill in the seismic-resistant behavior. International Journal of Architectural Heritage, 2017, 11(5): 717–746

[70] Gönen S, Soyöz S. Reliability-based seismic performance of masonry arch bridges. Structure and Infrastructure Engineering, 2022, 18(12): 1658–1673

[71] Chopra A K, Goel R K. A modal pushover analysis procedure for estimating seismic demands for buildings. Earthquake Engineering & Structural Dynamics, 2002, 31(3): 561–582

Acknowledgements

This work was part of the HYPERION project. HYPERION has received funding from the European Union’s Framework Programme for Research and Innovation (Horizon 2020) under grant agreement No. 821054. The contents of this publication are the sole responsibility of the Oslo Metropolitan University (Work Package 5, Task 2) and do not necessarily reflect the opinion of the European Union.

Funding note

Open Access funding provided by OsloMet-Oslo Metropolitan University.

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