References
- Baker, J. W. (2015). Efficient analytical fragility function fitting using dynamic structural analysis. Earthquake Spectra, 31(1), 579–599. Retrieved October 28, 2019, from https://earthquakespectra.org/doi/abs/10.1193/021113eqs025m doi:10.1193/021113EQS025M
- Boore, D. M. (2010). Orientation-independent, nongeometric-mean measures of seismic intensity from two horizontal components of motion. Bulletin of the Seismological Society of America, 100(4), 1830–1835. Retrieved July 23, 2020, from https://pubs.er.usgs.gov/publication/70041869 doi:10.1785/0120090400
- Borzi, B., Ceresa, P., Franchin, P., Noto, F., Calvi, G. M., & Pinto, P. E. (2015). Seismic vulnerability of the Italian roadway bridge stock. Earthquake Spectra, 31(4), 2137–2161. Retrieved January 18, 2019, from http://earthquakespectra.org/doi/10.1193/070413eqs190m doi:10.1193/070413EQS190M
- Bucci, D., Massa, B., Tornaghi, M., & Zuppetta, A. (2005). Structural setting of the 1688 Sannio earthquake epicentralarea (Southern Italy) from surface and subsurface data. Journal of Geodynamics, 40(2–3), 294–315. doi:10.1016/j.jog.2005.07.008
- Carozza, S., Jalayer, F., Miano, A., & Manfredi, G. (2017). Probabilistic connectivity analysis for a road network due to seismically-induced disruptions. In 16th world conference on earthquake engineering. Santiago, Chile.
- Chen, W.-F., & Duan, L. (2014). Bridge engineering handbook: Seismic design. Retrieved October 25, 2019, from http://elib.polban.ac.id/index.php?p=show_detail&id=18431
- Chiou, B., Darragh, R. B., Gregor, N., & Silva, W. J. (2008). NGA project strong-motion database. Earthquake Spectra, 24(1), 23–44. Retrieved July 23, 2020, from https://journals.sagepub.com/doi/10.1193/1.2894831 doi:10.1193/1.2894831
- DG-ECHO European Commission. (2017). ITERATE Project. Retrieved from ITERATE Project: http://www.iterate-eu.org/
- DG-ECHO European Commission. (2018). INFRANAT Project. Retrieved from http://www.infra-nat.eu/
- Eads, L., Miranda, E., & Lignos, D. (2015). Average spectral acceleration as an intensity measure for collapse risk assessment. Earthquake Engineering & Structural Dynamics, 44(12), 2057–2073. Retrieved June 5, 2020, from https://onlinelibrary.wiley.com/doi/abs/10.1002/eqe.2575 doi:10.1002/eqe.2575
- Jalayer, F., Franchin, P., & Pinto, P. (2007). A scalar damage measure for seismic reliability analysis of RC frames. Earthquake Engineering & Structural Dynamics, 36(13), 2059–2079. doi:10.1002/eqe.704
- Kent, D., & Park, R. (1971). Flexural members with confined concrete. Journal of the Structural Division, 97(7), 1969–1990. doi:10.1061/JSDEAG.0002957
- Kohrangi, M., Bazzurro, P., Vamvatsikos, D., & Spillatura, A. (2017). Conditional spectrum-based ground motion record selection using average spectral acceleration. Earthquake Engineering & Structural Dynamics, 46(10), 1667–1685. doi:10.1002/eqe.2876
- Kohrangi, M., Vamvatsikos, D., & Bazzurro, P. (2017). Site dependence and record selection schemes for building fragility and regional loss assessment. Earthquake Engineering & Structural Dynamics, 46(10), 1625–1643. doi:10.1002/eqe.2873
- Lin, T., Haselton, C. B., & Baker, J. W. (2013). Conditional spectrum‐based ground motion selection. Part I: Hazard consistency for risk‐based assessments. Earthquake Engineering & Structural Dynamics, 42(12), 1847–1865. Retrieved July 23, 2020, from http://web.stanford.edu/∼bakerjw/publications/lin_et_al_(2013)_cs-based_gms_i,_eesd.pdf doi:10.1002/eqe.2301
- Luzi, L., Puglia, R., Russo, E., D'Amico, M., Felicetta, C., Pacor, F., Lanzano, G., Zare, M. (2016). The engineering strong‐motion database: A platform to access pan‐European accelerometric data. Seismological Research Letters, 87(4), 987–997. Retrieved July 23, 2020, from https://pubs.geoscienceworld.org/ssa/srl/article-abstract/87/4/987/314138/the-engineering-strong-motion-database-a-platform doi:10.1785/0220150278
- M.I.T., M. I. (2008). NTC 2008 - Norme Tecniche per le Costruzioni (in Italian). Rome.
- McKenna, F., Scott, M., & Fenves, G. (2010). Non-linear finite-element analysis software architecture using object composition. Journal of Computing in Civil Engineering, 24(1), 95–107. doi:10.1061/(ASCE)CP.1943-5487.0000002
- Monteiro, R., Zelaschi, C., Silva, A., & Pinho, R. (2019). Derivation of fragility functions for seismic assessment of RC bridge portfolios using different intensity measures. Journal of Earthquake Engineering, 23(10), 1678–1694. doi:10.1080/13632469.2017.1387188
- OpenStreetMap contributors. (2020). OpenStreetMap planet dump. Retrieved from OpenStreetMap: https://download.geofabrik.de/europe/italy/sud.html
- O'Reilly, G., & Monteiro, R. (2019). On the efficient risk assessment of bridge structures. 7th ECCOMAS Thematic Conference COMPDYN. Crete Island, Greece.
- Padgett, J. E., Nielson, B. G., & DesRoches, R. (2008). Selection of optimal intensity measures in probabilistic seismic demand models of highway bridge portfolios. Earthquake Engineering & Structural Dynamics, 37(5), 711–725. Retrieved November 30, 2020, from https://onlinelibrary.wiley.com/doi/abs/10.1002/eqe.782 doi:10.1002/eqe.782
- Perdomo, C., Abarca, A., & Monteiro, R. (2020). Estimation of seismic expected annual losses for multi-span continuous RC bridge portfolios using a component-level approach. Journal of Earthquake Engineering, 1–27. doi:10.1080/13632469.2020.1781710
- Porter, K. (2009). Cracking an open safe: More HAZUS vulnerability functions in terms of structure-independent intensity. Earthquake Spectra, 25(2), 361–378. doi:10.1193/1.3106680
- Porter, K. A. (2003). An overview of PEER’s performance-based earthquake engineering methodology. Ninth International Conference on applications of statistics and probability in engineering. San Francisco, CA.
- Scott, M., & Fenves, G. (2006). Plastic hinge integration methods for force-based beam–column elements. Journal of Structural Engineering, 132(2), 244–252. doi:10.1061/(ASCE)0733-9445(2006)132:2(244)
- Silva, V., Akkar, S., Baker, J., Bazzurro, P., Castro, J. M., Crowley, H., Dolsek, M., Vamvatsikos, D. (2019). Current challenges and future trends in analytical fragility and vulnerability modelling. Earthquake Spectra, 35(4), 1927–1952. doi:10.1193/042418EQS101O
- Silva, V., Crowley, H., Pagani, M., Monelli, D., & Pinho, R. (2014). Development of the OpenQuake engine, the Global Earthquake Model’s open-source software for seismic risk assessment. Natural Hazards, 72(3), 1409–1427. Retrieved July 23, 2020, from https://link.springer.com/article/10.1007/s11069-013-0618-x doi:10.1007/s11069-013-0618-x
- Stergiou, E., & Kiremidjian, A. (2008). Treatment of uncertainties in seismic risk analysis of transportation systems (PEER Report 2008/02). Berkeley, CA: Pacific Earthquake Engineering Research Center.
- Woessner, J., Laurentiu, D., Giardini, D., Crowley, H., Cotton, F., Grünthal, G., Valensise, G., Stucchi, M., The SHARE Consortium. (2015). The 2013 European seismic hazard model: key components and results. Bulletin of Earthquake Engineering, 13(12), 3553–3596. Retrieved 7 23, 2020, from https://link.springer.com/article/10.1007/s10518-015-9795-1 doi:10.1007/s10518-015-9795-1
- Zelaschi, C., Monteiro, R., & Pinho, R. (2016). Parametric characterization of RC bridges for seismic assessment purposes. Structures, 7(7), 14–24. doi:10.1016/j.istruc.2016.04.003