Influence of the Displacement Predictive Relationships on the Probabilistic Seismic Analysis of Slopes
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 149, Issue 6
Abstract
Seismically induced landslides can often cause severe human and economic losses. Therefore, it is worth assessing the seismic performance of slopes through a reliable quantification of the permanent displacements induced by seismic loading. This paper presents a new semiempirical relationship linking the permanent earthquake-induced displacements of slopes to one or two synthetic ground motion parameters developed considering the Italian seismicity, and a comparison with existing simplified displacement models is illustrated. Once combined with a fully probabilistic approach, these relationships provide a useful tool for practicing engineers and national agencies for a preliminary estimate of the seismic performance of a slope. In this perspective, the predictive capability of different semiempirical relationships is analyzed with reference to the permanent displacements evaluated for the Italian seismicity assimilating the slope to a rigid body and adopting the Newmark integration approach. The consequences of the adoption of these relationships on the results of the probabilistic approach are illustrated in terms of displacement hazard curves and hazard maps for different slope scenarios.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
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. The authors wish to thank Professor Giuseppe Lanzo for his constructive comments and the fruitful discussion that have helped improve the quality of the paper.
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Journal of Geotechnical and Geoenvironmental Engineering
Volume 149 • Issue 6 • June 2023
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© 2023 American Society of Civil Engineers.
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Received: Jul 5, 2022
Accepted: Dec 13, 2022
Published online: Mar 25, 2023
Published in print: Jun 1, 2023
Discussion open until: Aug 25, 2023
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