Numerical investigation on the sliding process and deposit feature of an earthquake-induced landslide: a case study
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Huanling Wang I Shiqi Liu I Weiya Xu I Long Yan I Xiao Qu I Wei-Chau Xie
Numerical investigation on the sliding process and deposit feature of an earthquake-induced landslide: a case study
Abstract The objective of this study is to provide an effective method for risk prediction and disaster control of earthquakeinduced landslides. The Hongshiyan landslide induced by Ludian earthquake (Mw6.5) on August 3, 2014, in Ludian County, Yunnan Province, China, is studied. The sliding process and the mechanism of instability are investigated through numerical simulations using the particle flow codes (PFC). The characteristics of velocity and displacement and features of deposit are studied. It is found that the maximum average velocity of all particles of 23.43 m/s occurs at 7.11 s. The maximum displacement is closely related to elevation, and the sliding time of the rear edge of the sliding body is the longest. The numerical results of the landslide dam deposit morphology, with a height of 116.1 m and a length of 1001.1 m, are in good agreement with the field investigations. A series of numerical experiments on parameter sensitivity are also performed to study the influence of amplification factor and coefficient of friction on the features of the deposit. Keywords Hongshiyan landslide . Earthquake . Particle flow codes (PFC) . Landslide dam . Features of deposit Introduction Landslides, as a type of geological hazard, often cause casualties, economic losses, and even catastrophic consequences (Froude and Petley 2018; Huang 2009; Xu et al. 2014; Zhu et al. 2013). Extremely high-speed landslides induced by earthquakes and other factors, such as rock collapses and rock avalanches, are more destructive and are the most prominent geological hazards in mountainous areas (Keefer 1984; Keefer and Larsen 2007). Instability deformation and failure mechanism of landslide are usually studied by three approaches: physical model experiments (Askarinejad et al. 2018; Li and Cheng 2015; Lin et al. 2015; Song et al. 2018), field survey and monitoring (Doi et al. 2019; Fu et al. 2011; Qi et al. 2011; Tang et al. 2019), and numerical simulations. With the development of computing technology, numerical simulation has gradually become a powerful and effective tool for analyzing the movement processes of landslides. In general, numerical simulation methods can be divided into two categories: continuum element methods and discrete element methods. For continuum element methods, finite difference method (FDM) and finite element method (FEM) are widely used in slope deformation prediction and failure mechanism analysis. Zhang et al. (2015) investigated the reactivation mechanism of ancient landslides in Southwest China through FEM and found that a critical trigger factor of landslide is disturbance caused by engineering construction. For stability analysis of a complex soil-rock mixture landslide, based on the microtremor survey method and strength reduction method,
Gao et al. (2018) applied FEM to simulate the characteristics of failure. The
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