Large scale direct shear test data of sliding zone soil of typical landslide in Jinshajiang River (2020)

Large scale direct shear test data of sliding zone soil of typical landslide in Jinshajiang River (2020)


This sub topic obtains the physical and mechanical indexes of sliding zone soil and bedrock of typical major landslides (zanong landslide, zongrongcun landslide and xiaguiwa landslide) in Jinsha River Basin of Qinghai Tibet Plateau. The physical and mechanical indexes of sliding zone soil are mainly obtained by large-scale direct shear test. The obtained physical and mechanical indexes provide a scientific basis for subsequent physical model tests and revealing the internal and external dynamic coupling mechanism. The shear strength test of sliding zone soil adopts large-scale direct shear instrument, and there are three groups considering different moisture content. In the large-scale direct shear test, the remolded sliding zone soil specimens with different moisture content are made for three typical landslides respectively, and the shear strength normal pressure relationship curve of sliding zone soil with different moisture content is obtained, and then the shear strength index of sliding zone soil with different moisture content is obtained.


File naming and required software

File name: the experimental data is stored in Excel format, and the name of the file is "large-scale direct shear experimental data of typical landslide sliding zone soil. Xlsx"
Data reading method: the data file can be opened directly with EXCEL program


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Cite as:

Yao, A. (2022). Large scale direct shear test data of sliding zone soil of typical landslide in Jinshajiang River (2020). A Big Earth Data Platform for Three Poles, DOI: 10.11888/SolidEar.tpdc.272164. CSTR: 18406.11.SolidEar.tpdc.272164. (Download the reference: RIS | Bibtex )

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Support Program

Endogenic and exogenic geological conditions and coupling effects on the occurrence of landslide hazard (No:2018YFC1505001)

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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  • File size: 0.012 MB
  • Views: 875
  • Downloads: 4
  • Access: Requestable
  • Temporal coverage: 2020-01-01 To 2022-04-01
  • Updated time: 2022-03-21
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: YAO Aijun  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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