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Experimental and Optimization Study on the Sliding Force Monitoring and Early Warning System for High and Steep Slopes
Joint Authors
Yang, Xiaocong
Wang, Ligang
Tao, ZhiGang
He, ManChao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
A series of high and steep slopes have been formed due to the deep exploitation of resources in open-pit mines across China.
The stability of these high and steep slopes has become an essential factor affecting the efficient, safe, and sustainable development of deep mineral resources.
Due to numerous problems such as constant resistance fluctuation and pipe jamming of the original sliding force monitoring system, leading to system failure, a series of improvements on the current monitoring systems were implemented.
This specific work included a mechanical characteristics test of the anchor cable, improvement of the constant resistance structure, and measurement of the internal displacement of the slope.
The communication mode and the software architecture of the system were also adjusted.
This work significantly improved the overall performance of the sliding force monitoring and early warning system.
The improvements performed in this research are systematically described to provide an example of good practice for other sites with similar features.
The collected data show that the improved sliding force monitoring system can accurately reflect the whole process of landslide incubation.
Moreover, the validity of the early warning criterion based on the sliding force is verified again using the field test.
American Psychological Association (APA)
Wang, Ligang& Tao, ZhiGang& He, ManChao& Yang, Xiaocong. 2020. Experimental and Optimization Study on the Sliding Force Monitoring and Early Warning System for High and Steep Slopes. Advances in Civil Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1125732
Modern Language Association (MLA)
Wang, Ligang…[et al.]. Experimental and Optimization Study on the Sliding Force Monitoring and Early Warning System for High and Steep Slopes. Advances in Civil Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1125732
American Medical Association (AMA)
Wang, Ligang& Tao, ZhiGang& He, ManChao& Yang, Xiaocong. Experimental and Optimization Study on the Sliding Force Monitoring and Early Warning System for High and Steep Slopes. Advances in Civil Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1125732
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1125732