Earthquake destructiveness potential factor and slope stability

Crespellani, Teresa; Madiai, Claudia; Vannucchi, Giovanni

doi:10.1680/geot.1998.48.3.411

Cited by 56 publications

(14 citation statements)

References 1 publication

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“…The final step in the Newmark model is to calculate total induced displacement, which can be determined by summing the displacement resulting from each instance that the shear resistance is exceeded during ground shaking. Many methods have been proposed to determine the Newmark displacement as a function of other seismic parameters, such as peak ground accelerations (Ambraseys and Menu 1988), destructiveness potential (Crespellani et al 1998), and Arias intensity , based on empirical logarithmic regression equations. In particular, Jibson (2007) updated an equation using Arias intensity to better characterize damaging effects of ground motion, and the equation takes the form: log D n ¼ 2:401 log I a À 3:48 log a c À 3:23 AE 0:656 (3) where D n is expressed in centimeter and I a in meter per second.…”

Section: Methodology and Data Processingmentioning

confidence: 99%

Probabilistic modeling of seismically triggered landslides using Monte Carlo simulations

Wang

et al. 2008

Landslides

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The 2004 Chuetsu earthquakes of Niigata (Japan) triggered numerous landslides, and the most widespread types of landslides were highly disrupted, relatively shallow slides and soil (debris) flows. This paper presented a method to evaluate slope instability using Newmark displacement on a pixel-by-pixel basis in a given area. The proposed method was able to integrate Newmark displacement modeling and Monte Carlo simulations within geographical information systems. In the modeling, an empirical attenuation relationship was utilized to calculate Arias intensity over this study area, and the variability of geotechnical parameters was taken into account to calculate coseismic landslide displacement. Before deriving the displacement from related inputs, the Monte Carlo simulations ran 1,500 times and generated 1,500 displacement values for each grid cell, and then means and standard deviations of displacement were calculated and probabilistic distributions can be obtained. Finally, given 10 cm as a threshold value of displacement, estimated probabilities of displacement exceeding 10 cm were shown as a map of seismic landslide hazards. The resulting hazard map was classified into four categories from very low to high level.

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Section: Methodology and Data Processingmentioning

confidence: 99%

Probabilistic modeling of seismically triggered landslides using Monte Carlo simulations

Wang

et al. 2008

Landslides

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“…Other empirical equations to estimate sliding coseismic displacement have been developed by various researchers using different models or different data (Mahdavifar et al 2008;Saygili and Rathje 2008;Mahdavifar 2006;Carro et al 2003;Crespellani et al 1998;Romeo 2000;Ambraseys and Srbulov 1995;Ambraseys and Menu 1988).…”

Section: State Of the Artmentioning

confidence: 99%

A new empirical estimator of coseismic landslide displacement for Zagros Mountain region (Iran)

et al. 2011

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Earthquake-induced landslides are responsible worldwide for significant socioeconomic losses and historically have a prominent position in the list of natural hazards affecting the Iran plateau. As a step toward the development of tools for the assessment and the management of this kind of hazard at regional scale, an empirical estimator of coseismic displacements along potential sliding surfaces was obtained through a regression analysis for the Zagros region, a mountainous Iranian region subjected to earthquake-induced landslides. This estimator, based on the Newmark’s model, allows to evaluate the expected permanent displacement (named ‘‘Newmark displacement’’) induced by seismic shaking of defined energy on potential sliding surface characterized by a given critical acceleration. To produce regression models for Newmark displacement estimators, a data set was constructed for different critical acceleration values on the basis of 108 accelerometric recordings from 80 Iranian earthquakes with moment magnitudes between 3.6 and 7. The empirical estimator has a general form, proposed by Jibson (Eng Geol 91:209–218, 2007), relating Newmark displacement to Arias intensity (as parameter representing the energy of the seismic forces) and to critical acceleration (as parameter representing the dynamic shear resistance of the sliding mass). As an example of application, this relation was employed to provide a basic document for earthquake-induced landslide hazard assessment at regional scale, according to a method proposed by Del Gaudio et al. (Bull Seismol Soc Am 93:557–569, 2003), applied to the whole Iranian territory, including Zagros region. This method consists in evaluating the shear resistance required to slopes to limit the occurrence of seismically induced failures, on the basis of the Newmark’s model. The obtained results show that the exposure to landslide seismic induction is maximum in the Alborz Mountains region, where critical accelerations up to *0.1 g are required to limit the probability of seismic triggering of coherent type landslides within 10% in 50 years

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“…For these analyses, a critical seismic coefficient is determined, which is associated with the case in which the factor of safety is equal to one. Crespellani et al [5], however, show that the prediction of displacements is highly sensitive to how accurately the critical seismic coefficients are determined. The assumption about failure mechanisms is shown to be mostly important.…”

Section: Earthquake Effectsmentioning

confidence: 99%

Finite element analysis of slope stability using a nonlinear failure criterion

2007

Computers and Geotechnics

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Earthquake destructiveness potential factor and slope stability

Cited by 56 publications

References 1 publication

Probabilistic modeling of seismically triggered landslides using Monte Carlo simulations

Probabilistic modeling of seismically triggered landslides using Monte Carlo simulations

A new empirical estimator of coseismic landslide displacement for Zagros Mountain region (Iran)

Finite element analysis of slope stability using a nonlinear failure criterion

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