Analysis of the failure process of the Leidashi landslide based on MatDEM, in Chengdu, Sichuan Province, China

Xianghang Bu; Fan Liu; Ling Chen; Shuqi Li; Jing Yang; Yingyuan Li

doi:10.1117/12.2668114

23 February 2023 Analysis of the failure process of the Leidashi landslide based on MatDEM, in Chengdu, Sichuan Province, China

Xianghang Bu, Fan Liu, Ling Chen, Shuqi Li, Jing Yang, Yingyuan Li

Author Affiliations +

Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125510Q (2023) https://doi.org/10.1117/12.2668114
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China

Abstract

At 2:00 p.m. on August 6, 2019, the Leidashi landslide was reactivated near Danjing town, Gaoxin east zone, Chengdu, Sichuan province, China. From the data of geological exploration, multi-temporal satellite images, and unmanned aerial vehicle images, it is found that the Leidashi landslide, the slow-tilting thrust-type rock landslide on the impact of rainfall and human engineering activities, is the revival of the 2010 landslide. In this study, the discrete element method software MatDEM was used to simulate the sliding process of the Leidashi landslide in 2019. The results of starting and sliding process and local deformation characteristics of the landslide are obtained. Meanwhile, the displacement field, heat field, and energy change in the sliding process of the landslide are analyzed. Comparing the landslide morphology before and after changing the friction coefficient of the soft layer and slope elevation and adding an "anti-slide pile group" in the process of numerical simulation, it is believed that the deformation and failure of the Leidashi landslide are mainly caused by two factors: artificial excavation and torrential rainfall.

Citation Download Citation

Xianghang Bu, Fan Liu, Ling Chen, Shuqi Li, Jing Yang, and Yingyuan Li "Analysis of the failure process of the Leidashi landslide based on MatDEM, in Chengdu, Sichuan Province, China", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125510Q (23 February 2023); https://doi.org/10.1117/12.2668114

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