4.5 Article

Long-runout mechanism and landsliding behaviour of large catastrophic landslide triggered by heavy rainfall in Guanling, Guizhou, China

期刊

CANADIAN GEOTECHNICAL JOURNAL
卷 52, 期 7, 页码 971-981

出版社

CANADIAN SCIENCE PUBLISHING
DOI: 10.1139/cgj-2014-0122

关键词

long runout; ring shear tests; shear behaviour; landsliding behaviour; dynamic analysis (DAN) model

资金

  1. National Natural Science Foundation of China [41272382, 41372332]
  2. China geological survey [1212011220140, 12120114079101]
  3. National Science Fund for Distinguished Young Scholars [41225011]
  4. Grants-in-Aid for Scientific Research [15H01797] Funding Source: KAKEN

向作者/读者索取更多资源

A large catastrophic landslide was triggered by a heavy rainfall on 28 June 2010 in Guanling, Guizhou, China. The landslide buried two villages and killed 99 people along the runout path. The landslide involved the failure of about 985 000 m(3) of sandstone from the source area, with a runout of about 1.4 km over a total vertical distance of about 420 m. To understand the possible long-runout mechanism and behaviour of the landslide, a detailed field survey of the landslide was conducted and samples were taken from the runout path. The shear behaviour of the sample based on a series of ring shear tests was examined, and numerical simulation of the landsliding behaviour by using a numerical runout model (DAN-W) was performed in which the shear strength obtained by ring shear tests was used. The experimental results reveal that the residual shear strength measured along the pre-existing shear surface is independent of the shear displacement rate under partially drained conditions, suggesting that the relationship between shear and normal stresses obeys the frictional model. A bulk basal friction angle of 14.4 degrees at the base of the moving mass was then obtained from the test results. The simulated results show that the selected rheological model and parameters based on ring shear tests could provide the best performance in simulating the landslide. Therefore, it is expected that the model and parameters could improve the precision of hazard zonation for areas with geological, topographical, and climatic features similar to the Guanling landslide area.

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