Two types of seismic waves are used as dynamic inputs, one is synthetic waves, including sine waves and synthetic waves with different transcendence probabilities; the other is natural waves, selecting Wenchuan Wolong waves and Maoxian waves. The sine wave amplitude and frequency are unique, so they can be used to study the influence of ground motion parameters on the dynamic response of slopes; the natural waves are selected from the soil layer waves recorded at Wolong station and bedrock seismic waves recorded at Maoxian station during the Wenchuan earthquake, aiming to investigate the influence of different types of seismic wave inputs on the dynamic response of rock slopes by comparing the dynamic response law of slopes under the action of two types of seismic waves. White noise was performed after each loading to analyze the natural characteristics of the slope. A 10-minute stay after each loading was used to take pictures and observe the damage of the slope.

File naming and required software

File name: The loading conditions are stored in a table format, and the name of the file is "jzgk.xlsx". Data reading: The data can be opened directly by a table tool, the first column is the number, the second column is the loading condition, the third column is the loading direction, and the fourth column is the seismic wave amplitude.

Data Citations Data citation guideline What's data citation?

Cite as:

Guo, M. (2022). Shaking table model test data for counter-bedding rock slope - load condition. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Terre.tpdc.272179. CSTR: 18406.11.Terre.tpdc.272179. (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

Catastrophic mechanisms and risk control of disastrous landslides in the Tibetan Plateau (No:2018YFC1505000)

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

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

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