| Autor: |
WEN ZHONG, FUCAI YUE, DAOHUAN ZHA, CHUNSHENG LI, YUNCHUAN DENG, XIN CHEN |
| Předmět: |
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| Zdroj: |
Journal of Mines, Metals & Fuels; Aug2018, Vol. 66 Issue 8, p449-455, 7p |
| Abstrakt: |
This paper aims at making accurate prediction of embankment slope failures. To this end, the acoustic emission(AE) technique is introduced to monitor the slope stability of embankments, and the similarity simulation is carried out indoor on embankment slopes with waveguide rods of different diameters and gravels with distinctive particle sizes. In the simulation tests, the AE feature data of the embankment slope models are obtained during the failure process. Then, the fractal theory is applied to analyse the features and variation patterns of the AE energy fractal dimensions of the embankment slopes throughout the failure process. The author also analyses the features and variation patterns of AE energy fractal dimension during embankment slope failure. The test results show that the fractal dimension remained at a low level at the onset, continued to increase during the test, and eventually peaked at the middle phase of the test. In the final phase, the fractal dimension started to decrease. The AE fractal dimension also peaked at the slip-impending phase and then drop all of a sudden. This research offers a valuable detection means for the forecast of embankment slope failure. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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