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ORIGINAL RESEARCH article

Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 12 - 2024 | doi: 10.3389/feart.2024.1434519
This article is part of the Research Topic Prevention, Mitigation, and Relief of Compound and Chained Natural Hazards Volume II View all 3 articles

Simulation and Prediction of Dynamic Process of Loess Landslide and Its Impact Damage to Houses

Provisionally accepted
Zhao Zhou Zhao Zhou *Zhang Y. Han Zhang Y. Han Xing Chen Xing Chen Jiangbo Wei Jiangbo Wei Jianquan MA Jianquan MA Tang Hao Tang Hao Liu Fei Liu Fei
  • Xi'an University of Science and Technology, Xi'an, China

The final, formatted version of the article will be published soon.

    The mountainous areas of the Loess Plateau in China are crisscrossed with ravines, fragile ecological environment, and frequent landslide hazards. Landslides often cause building collapses and casualties, seriously affecting the sustainability of economic and social development in the region. In order to study the damage of loess landslides to village and town buildings under saturated soil conditions, the paper takes the Xingwang landslide in Fugu County, Shaanxi Province, China as an example. Firstly, the geological characteristics of the landslide were identified by means of investigation, surveying, engineering exploration and geotechnical testing. Secondly, a three-dimensional numerical model of the landslide area was established by using the particle flow code system (PFC 3D ). Finally, the entire movement process of the landslide was simulated, and the impact damage to houses induced from landslide was analyzed and predicted. The results show that the whole movement of the landslide lasted a total of 180s, with a maximum average velocity of 2.01 m/s and a maximum average displacement of 73.7m. The first and second rows of houses located at the foot of the landslide will suffer serious damage, with most bricks displacement ranging from 0.1 to 2.5 m and a maximum displacement of 10.3 m, posing a serious safety risk to the houses. Only a portion of the third row houses will be damaged, and the fourth row houses will not be threatened by landslide. This study provides a numerical method for quantitative assessment of the risk and building damage for loess landslide, which can be used as a reference. It also provides technical support for formulating hazard prevention and reduction plans for the Xingwang landslide.

    Keywords: Loess landslide, Dynamic process, Impact Damage to Houses, Simulation and prediction, The discrete element method, the finite element method

    Received: 18 May 2024; Accepted: 28 Jun 2024.

    Copyright: © 2024 Zhou, Han, Chen, Wei, MA, Hao and Fei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zhao Zhou, Xi'an University of Science and Technology, Xi'an, China

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