Permanent displacement models of earthquake-induced landslides considering near-fault pulse-like ground motions
- 12 Downloads
The permanent displacement of seismic slopes can be regarded as an effective criterion for stability estimation. This paper studied the characteristics of permanent displacements induced by velocity pulse-like ground motions and developed an empirical model to readily evaluate the stability of seismic slopes in a near-fault region. We identified 264 velocity pulse-like ground motions from the Next Generation Attenuation (NGA) database using the latest improved energy-based approach. All selected ground motions were rotated to the orientation of the strongest observed pulse for considering the directivity of the pulse effect, so that the most dangerous condition for slopes was considered. The results show the velocity pulse-like ground motions have a much more significant effect on permanent displacement of slopes than non-pulse-like ground motions. A regression model based on a function of peak ground velocity (PGV), peak ground acceleration (PGA) and critical acceleration (ac), was generated. A significant difference was found by comparing the presented model with classical models from literatures. This model can be used to evaluate the seismic slope stability considering the effects of near-fault pulse-like characteristics.
KeywordsSeismic slope Permanent displacement Pulse effect Earthquake-induced landslides Near-fault
Unable to display preview. Download preview PDF.
This study has received financial support from the National Natural Science Foundation of China (41672286, 41761144080 and 41530639); Science & Technology Department of Sichuan Province (2017JQ0042); Ministry of Science and Technology of China (KY201801005); State Key Laboratory for GeoMechanics and Deep Underground Engineering, China University of Mining & Technology (SKLGDUEK1806); Innovation-Driven Project of Central South University (No. 2019CX011). The financial supports are gratefully acknowledged. The authors wish to thank the editors and three anonymous reviewers for their time and effort in reviewing our article.
- Arias A (1970) A Measure of Earthquake Intensity. In Seismic Design for Nuclear Power Plants, Massachusetts Institute of Technology Press, Cambridge. pp 438–483.Google Scholar
- Bray JD, Rathje EM (1998) Earthquake-induced displacements of solid-waste landfills. Journal of Geotechnical & Geoenvironmental Engineering 124(3): 242–253. https://doi.org/10.1061/(ASCE)1090-0241(1998)124:3(242) Google Scholar
- Bray JD, Travasarou T (2007) Simplified procedure for estimating earthquake-induced deviatoric slope displacements. Journal of Geotechnical & Geoenvironmental Engineering 133(4): 381–392. https://doi.org/10.1061/(asce)1090-0241(2007)133:4(381) Google Scholar
- Chang Z, De Luca F, Goda K (2019) Automated classification of near-fault acceleration pulses using wavelet packets. Computer-Aided Civil and Infrastructure Engineering 1–17. https://doi.org/10.1111/mice.12437
- Du W, Wang G, Huang D (2018) Evaluation of seismic slope displacements based on fully coupled sliding mass analysis and NGA-West2 database. Journal of Geotechnical and Geoenvironmental Engineering 144(8): 06018006–1. https://doi.org/10.1061/(ASCE)GT.1943-5606.0001923 Google Scholar
- Franklin AG, Chang FK (1977) Permanent displacements of earth embankments by Newmark sliding block analysis.Google Scholar
- Gao G, Sone J (2014) Predictive models for permanent displacement of slopes induced by near-fault pulse-like ground motions. Rock & Soil Mechanics 35(5):1340–1347.Google Scholar
- Jibson RW, Michael JA (2009) Maps showing seismic landslide hazards in Anchorage, Alaska. US Geological Survey.Google Scholar
- Makdisi FI, Seed HB (1978) Simplified procedure for estimating dam and embankment earthquake-induced failures. Journal of the Geotechnical Division, ASCE 104: 849–861.Google Scholar
- Rathje EM, Saygili G (2008) Probabilistic Seismic Hazard Analysis for the Sliding Displacement of Slopes: Scalar and Vector Approaches. Journal of Geotechnical and Geoenvironmental Engineering 134(6): 804–814. https://doi.org/10.1061/(asce)1090-0241(2008)134:6(804) Google Scholar
- Saygili G, Rathje EM (2008) Empirical predictive models for earthquake-induced sliding displacements of slopes. Journal of Geotechnical & Geoenvironmental Engineering 134(6): 790–803. https://doi.org/10.1061/(asce)1090-0241(2008)134:6(790) Google Scholar
- Song J, Gao GY (2013) Empirical predictive model for seismic displacement of slopes under velocity pulse-like ground motions. Chinese Journal of Rock and Soil Mcchanics 35(11): 2009–2017.Google Scholar
- Xu GX, Yao LK, Li CH, et al. (2012) Predictive models for permanent displacement of slopes based on recorded strong-motion data of Wenchuan Earthquake. Chinese Journal of Geotechnical Engineering 34(6): 1131–1136.Google Scholar
- Yegian MK, Marciano EA, Ghahraman VG (1991) Earthquake-induced permanent deformations: probabilistic approach. Journal of Geotechnical Engineering 117(1): 35–50. https://doi.org/10.1061/(asce)0733-9410(1991)117:1(35) Google Scholar
- Zhang Y (2018) Earthquake-induced Landslides: Initiation and Run-out Analysis by Considering Vertical Seismic Loading, Tension Failure and the Trampoline Effect. Springer Singapore, Series. ISSN 2365-0656.Google Scholar