Load test data of Jinsha River in 2020

Load test data of Jinsha River in 2020


This sub topic obtains the physical and mechanical indexes of 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 bedrock are mainly obtained through point load test. The obtained physical and mechanical indexes provide a scientific basis for subsequent physical model test and revealing the internal and external dynamic coupling mechanism. The strength test of typical landslide rock block adopts point load instrument, with no less than 15 specimens in each group, a total of 5 groups. There are five kinds of rock samples for point load test, namely limestone, ophiolite, mica gneiss, diorite and schist. Among them, diorite is loaded in cylindrical radial direction, and the rest are irregular rock samples. The size of the experimental results is corrected, and the experimental state is natural water content.


File naming and required software

File name: the experimental data is stored in Excel format, and the name of the file is "point load experimental data. Xlsx"
Data reading method: the data file can be opened directly with EXCEL program


Data Citations Data citation guideline What's data citation?
Cite as:

Yao, A. (2022). Load test data of Jinsha River in 2020. A Big Earth Data Platform for Three Poles, DOI: 10.11888/SolidEar.tpdc.272165. CSTR: 18406.11.SolidEar.tpdc.272165. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


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: 791
  • Downloads: 7
  • Access: Requestable
  • Temporal coverage: 2020-01-01 To 2022-04-01
  • Updated time: 2022-03-21
Contacts
: YAO Aijun  

Distributor: A Big Earth Data Platform for Three Poles

Email: poles@itpcas.ac.cn

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