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

Journal of Sensors

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

Civil Engineering

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