Advertisement

A Characteristic-Period Based Approach for Evaluating Earthquake-Induced Displacements of the Large Büyükçekmece Landslide (Turkey)

  • Salvatore MartinoEmail author
  • Luca Lenti
  • Celine Bourdeau
Conference paper

Abstract

The Büyükçekmece landslide is located in Turkey, W of Istanbul, about 15 km northward from the North Anatolian Fault Zone (NAFZ) and involves upper Oligocene to lower Miocene deposits, consisting of silty clays, tuffs and sands. No earthquake-induced re-activations are testified so far but due to the high seismicity of the area (struck by the 17th August 1999 Mw 7.4 Kocaeli and by the 12th November Mw 7.2 Düzce earthquakes) it was selected as the case-study in the framework of the European project “MARSiteMarmara Supersite: new directions in seismic hazard assessment through focused Earth observation in the Marmara Supersite”. Due to the existence of several secondary scarps, the original geological setting of the sedimentary deposits is significantly modified as many counter-slope-tilted landslide sub-masses can be identified in the landslide mass. Earthquake-induced displacements of the landslide were evaluated through a characteristic-period based (CPB) approach. To this aim, a stress-strain dynamic numerical modelling was carried out using several seismic inputs with Arias intensity (AI) values ranging from 1 and 0.01 m/s and characteristic periods, Tm, ranging from 0.3 to 16.5 s. Depending on the landslide dimensions (thickness and length), characteristic periods for thicknesses (Ts) and lengths (Tl), were computed to define the corresponding ratios over Tm. The obtained results indicate that the effective characteristic period of the landslide (Tl *) corresponds to the length of a single sub-mass, and not to the total length of the landslide. Moreover, for the lowest AI values the maximum earthquake-induced displacements correspond to Tm values close to resonance period of the landslide while for higher AI values, such a 2D interaction between landslide mass and seismic waves is much more evident.

Keywords

Earthquake-induced landslide Numerical modelling Turkey 

Notes

Acknowledgements

Research carried out in the framework of the project “MARSiteMarmara Supersite: new directions in seismic hazard assessment through focused Earth observation in the Marmara Supersite” (WorkPackage6).

References

  1. Bourdeau C, Havenith HB (2008) Site effects modeling applied to the slope affected by the Suusamyr earthquake (Kyrgyzstan 1992). Eng Geol 97:126–145CrossRefGoogle Scholar
  2. Del Gaudio V, Wasowski J (2007) Directivity of slope dynamic response to seismic shaking. GRL 34:L12301CrossRefGoogle Scholar
  3. Delgado J, Peláez JA, Tomás R, García-Tortosa FJ, Alfaro P, López Casado C (2011) Seismically-induced landslides in the Betic Cordillera (S Spain). Soil Dyn Earthq Eng 31:1203–1211CrossRefGoogle Scholar
  4. Itasca (2011) FLAC 7.0: user manual. Univ “Sapienza” Earth Science Department (key: 213-039-0127-18973)Google Scholar
  5. Keefer DK (1984) Landslides caused by earthquakes. Geol Soc Am Bull 95:406–421CrossRefGoogle Scholar
  6. Lenti L, Martino S (2012) The interaction of seismic waves with step-like slopes and its influence on landslide movements. Eng Geol 126:19–36CrossRefGoogle Scholar
  7. Lenti L, Martino S (2013) A parametric numerical study of interaction between seismic waves and landslides for the evaluation of the susceptibility to seismically induced displacements. BSSA 103(1):33.56Google Scholar
  8. Martino S, Lenti L, Delgado J, Garrido J, Lopez Casado C (2016) Application of a characteristic periods-based (CPB) approach to estimate earthquake-induced displacements of landslides through dynamic numerical modelling. Geophys J Int 206(1):85–102. doi: 10.1093/gji/ggw131
  9. Rathje EM, Bray JD (2000) Nonlinear coupled seismic sliding analysis of earth structures. J Geotech Geoenvir Eng ASCE 126(11):1002–1014Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Salvatore Martino
    • 1
    Email author
  • Luca Lenti
    • 2
  • Celine Bourdeau
    • 2
  1. 1.University of Roma “La Sapienza” and Research Centre for Geological Risks (CERI)RomeItaly
  2. 2.Institut Français des Sciences et Technologies des TransportsDe l’aménagement et des Réseaux (IFSTTAR-Paris)Marne la Vallée Cedex 2France

Personalised recommendations