Name
Title | ||
|---|---|---|
Acceleration Characteristics of a Rock Slide Using the Particle Image Velocimetry Technique. |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1155/2016/2650871 | JOURNAL OF SENSORS |
Field | DocType | Volume |
Geotechnical engineering,Displacement field,Mechanics,Artificial intelligence,Deformation (mechanics),Strain energy release rate,Computer vision,Particle image velocimetry,Vector field,Flow (psychology),Acceleration,Engineering,Image resolution | Journal | 2016 |
ISSN | Citations | PageRank |
1687-725X | 0 | 0.34 |
References | Authors | |
1 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guoqing Chen | 1 | 22 | 5.61 |
| Le Li | 2 | 0 | 0.34 |
| Cong Zhao | 3 | 0 | 0.34 |
| Ren-Bo Huang | 4 | 7 | 2.09 |
| Fan Guo | 5 | 1 | 0.96 |