Acceleration Characteristics of a Rock Slide Using the Particle Image Velocimetry Technique
Joint Authors
Chen, Guoqing
Guo, Fan
Li, Le
Zhao, Cong
Huang, Runqiu
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The Particle Image Velocimetry (PIV) technique with high precision and spatial resolution is a suitable sensor for flow field experiments.
In this paper, the PIV technology was used to monitor the development of a displacement field, velocity field and acceleration field of a rock slide.
It was found that the peak acceleration of the sliding surface appeared earlier than the peak acceleration of the sliding body.
The characteristics of the rock slide including the short failure time, high velocities, and large accelerations indicate that the sliding forces and energy release rate of the slope are high.
The deformation field showed that the sliding body was sliding outwards along the sliding surface while the sliding bed moved in an opposite direction.
Moving upwards at the top of the sliding bed can be one of the warning signs for rock slide failure.
American Psychological Association (APA)
Chen, Guoqing& Li, Le& Zhao, Cong& Huang, Runqiu& Guo, Fan. 2016. Acceleration Characteristics of a Rock Slide Using the Particle Image Velocimetry Technique. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110385
Modern Language Association (MLA)
Chen, Guoqing…[et al.]. Acceleration Characteristics of a Rock Slide Using the Particle Image Velocimetry Technique. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110385
American Medical Association (AMA)
Chen, Guoqing& Li, Le& Zhao, Cong& Huang, Runqiu& Guo, Fan. Acceleration Characteristics of a Rock Slide Using the Particle Image Velocimetry Technique. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110385
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110385