Similarity Simulation of Fractal Features in Embankment Slope Failure Based on Acoustic Emission Detection

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Authors

  • Wen Zhong
     School of Resources and Environment Engineering, Jiangxi Key Laboratory of Mining Engineering, Jiangxi University of Science and Technology, GanZhou Jiangxi 341 000, China ,CN
  • Fucai Yue
     School of Resources and Environment Engineering and Jiangxi Key Laboratory of Mining Engineering, Jiangxi University of Science and Technology, GanZhou Jiangxi 341 000 ,CN
  • Daohua Zha
     School of Resources and Environment Engineering, Jiangxi University of Science and Technology, GanZhou Jiangxi 341 000 ,CN
  • Chunsheng Li
     School of Resources and Environment Engineering , Jiangxi University of Science and Technology, GanZhou Jiangxi 341 000 ,IN
  • Yunchuan Den
     School of Resources and Environment Engineering , Jiangxi University of Science and Technology, GanZhou Jiangxi 341 000 ,CN
  • Wen Zhong
     Jiangxi Key Laboratory of Mining Engineering, Jiangxi University of Science and Technology, GanZhou Jiangxi 341 000 ,CN

Keywords:

Acoustic Emission (AE), Embankment Slope, Fractal Dimension, Similarity Simulation.

Abstract

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.

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Published

2022-10-22

How to Cite

Zhong, W., Yue, F., Zha, D., Li, C., Den, Y., & Zhong, W. (2022). Similarity Simulation of Fractal Features in Embankment Slope Failure Based on Acoustic Emission Detection. Journal of Mines, Metals and Fuels, 66(8), 449–455. Retrieved from http://www.informaticsjournals.com/index.php/jmmf/article/view/31737

Issue

Volume 66, Issue 8, August 2018

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

 

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