Probabilistic modeling of seismically triggered landslides using Monte Carlo simulations

Wang, Huabin; Wang, Gonghui; Wang, Fawu; Sassa, Kyoji; Chen, Yuping

doi:10.1007/s10346-008-0131-6

Cited by 27 publications

(14 citation statements)

References 22 publications

(23 reference statements)

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“…A probabilistic analysis of landslides triggered by seismic activity was completed by Wang et al (2008). This study used a Monte Carlo simulation to generate displacement values for each grid cell used to define a given area; from these values a probability distribution was obtained.…”

Section: Probabilistic Methodsmentioning

confidence: 99%

A probabilistic approach to post-wildfire debris-flow volume modeling

Donovan

Santi

2017

Landslides

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As populations continue to move into more mountainous terrain, a greater understanding of the processes controlling debris flows has become important for the protection of human life and property. The potential volume of an expected debris flow must be known to effectively mitigate any hazard it may pose, yet an accurate estimate of this parameter has to this point been difficult to model. To this end, a probabilistic method for the prediction of debris-flow volumes using a database of 33 debris flows in the Western United States is presented herein. A number of

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Section: Probabilistic Methodsmentioning

confidence: 99%

A probabilistic approach to post-wildfire debris-flow volume modeling

Donovan

Santi

2017

Landslides

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“…Li et al [38] measured the cohesion standard deviation of a landslide slip zone to be 2.37 kPa by laboratory geotechnical tests. And when selecting the shear strength standard deviation for simulating earthquake landslide, Wang et al [39] assumed that the cohesion conforms to normal distribution with a standard deviation of 5 kPa.…”

Section: Probability Distribution Types and Standard Deviation Of Shementioning

confidence: 99%

A Modified Newmark Method for Calculating Permanent Displacement of Seismic Slope considering Dynamic Critical Acceleration

Cui

Liu

et al. 2019

Advances in Civil Engineering

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Newmark permanent displacement is an important index for evaluating seismic slope stability, which has been widely used in recent years. The traditional Newmark sliding method assumes that the critical acceleration is constant but does not consider the inhomogeneity and dynamic reduction process of shear strength on the sliding surface, presumably leading to underestimation of the permanent displacement. In this paper, this problem is analyzed, and a new method for calculating permanent displacement of seismic slope considering dynamic critical acceleration is proposed, in which the Monte Carlo simulation is used. Example calculations indicate that this approach permits to show the dropping cohesion and the dynamic critical acceleration of the slide block during the earthquake time history. The improved method for calculating seismic slope permanent displacement presented in this paper solves the problem that the calculated value from the Newmark sliding method is smaller than the real value and is a useful improvement.

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“…However, recently many studies focus on the prediction of the potential distribution of ground movements induced by earthquakes before such a strong earthquake happens (Capolongo et al 2002, Wang et al, 2008. For this reason many empirical relationships have been developed in order to describe this distribution (Travasarou et al, 2003, Danciu andTselentis, 2007), based on worldwide earthquake records.…”

Section: Generalmentioning

confidence: 99%