Abstract
The seismic performance of an earth slope is commonly evaluated through the permanent displacements developed at the end of an earthquake. In this paper a probabilistic approach is adopted to assess the displacement of the slope for a given hazard level using an updated database of ground motions recorded during the earthquakes occurred in Italy. The results are presented in terms of hazard curves, showing the annual rate of exceedance of permanent slope displacement evaluated using ground motion data provided by a standard probabilistic hazard analysis and a series of semi-empirical relationships linking the permanent displacements of slopes to one or more ground motion parameters. The probabilistic approach permits to take into account synthetically the characteristics of the slope through the yield seismic coefficient, the aleatory variability of the ground motions and the different subsoil classes of the recording stations. Finally, the procedure has been extended on a regional scale to produce seismic landslide hazard maps for Irpinia, one of the most seismically active regions in Italy. Seismic landslide hazard maps are very attractive for practitioners and government agencies for a screening level analysis to identify, monitor and minimise damages in zones that are potentially susceptible to earthquake-induced slope instability.
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References
Newmark, N.M.: Effects of earthquakes on dams and embankments. Geotechnique 15(2), 139–160 (1965)
Saygili, G., Rathje, E.M.: Empirical predictive models for earthquake-induced sliding displacements of slopes. J. Geotech. Geoenviron. Eng. 134(6), 790–803 (2008)
Song, J., Gao, Y., Rodriguez-Marek, A., Feng, T.: Empirical predictive relationships for rigid sliding displacement based on directionally-dependent ground motion parameters. Eng. Geol. 222, 124–139 (2017)
Cho, Y., Rathje, E.M.: Displacement hazard curves derived from slope-specific predictive models of earthquake-induced displacement. Soil Dyn. Earthq. Eng. 138, 106367 (2020)
Rathje, E.M., Saygili, G.: Probabilistic seismic hazard analysis for the sliding displacement of slopes: scalar and vector approaches. J. Geotech. Geoenviron. Eng. 134(6), 804–814 (2008)
Du, W., Wang, G.: A one-step Newmark displacement model for probabilistic seismic slope displacement hazard analysis. Eng. Geol. 205, 12–23 (2016)
Macedo, J., Bray, J., Abrahamson, N., Travasarou, T.: Performance-based probabilistic seismic slope displacement procedure. Earthq. Spectra 34(2), 673–695 (2018)
Gaudio, D., Rauseo, R., Masini, L., Rampello, S.: Semi-empirical relationships to assess the seismic performance of slopes from an updated version of the Italian seismic database. Bull. Earthq. Eng. 18(14), 6245–6281 (2020). https://doi.org/10.1007/s10518-020-00937-6
Ambraseys, N.N., Menu, J.M.: Earthquake-induced ground displacements. Earthq. Eng. Struct. Dynam. 16(7), 985–1006 (1988)
Rollo, F., Rampello, S.: Probabilistic assessment of seismic-induced slope displacements: an application in Italy. Bull. Earthq. Eng. 19(11), 4261–4288 (2021). https://doi.org/10.1007/s10518-021-01138-5
Acknowledgements
The research work presented in this paper was partly funded by the Italian Department of Civil Protection under the ReLUIS research project – Working Package 16: Geotechnical Engineering – Task Group 2: Slope stability.
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Rollo, F., Rampello, S. (2022). Probabilistic Seismic Hazard Curves and Maps for Italian Slopes. In: Wang, L., Zhang, JM., Wang, R. (eds) Proceedings of the 4th International Conference on Performance Based Design in Earthquake Geotechnical Engineering (Beijing 2022). PBD-IV 2022. Geotechnical, Geological and Earthquake Engineering, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-031-11898-2_116
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DOI: https://doi.org/10.1007/978-3-031-11898-2_116
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