Experimental Hazardous Rock Block Stability Assessment Based on Vibration Feature Parameters
| Autor: | Zhengjun Huang, Yuan Li, Yongdu Lu, Andrei M. Golosov, Zheng He, Mowen Xie, Zhili Sui |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Materials science
Article Subject business.industry 0211 other engineering and technologies 02 engineering and technology Structural engineering Engineering (General). Civil engineering (General) 010502 geochemistry & geophysics 01 natural sciences Stability (probability) Standard deviation Root mean square Vibration Feature (computer vision) Heat transfer Principal component analysis TA1-2040 Center frequency business 021101 geological & geomatics engineering 0105 earth and related environmental sciences Civil and Structural Engineering |
| Zdroj: | Advances in Civil Engineering, Vol 2020 (2020) |
| ISSN: | 1687-8086 |
| DOI: | 10.1155/2020/8837459 |
| Popis: | This paper explores a new approach for assessing the stability of a hazardous rock block on a slope using vibration feature parameters. A physical model experiment is designed in which a thermally sensitive material is incorporated into the potential failure plane of the hazardous rock, and the complete process of hazardous rock collapse caused by strength deterioration is simulated by means of constant-temperature heat transfer. Moreover, the vibration response of the hazardous rock is monitored in real time by laser vibrometry. The experimental results show that five vibration feature parameters, including the mean frequency, the center frequency, the peak frequency, the mean frequency standard deviation, and the root mean square frequency, are well-correlated with rock stability. Furthermore, through principal component analysis, the five vibration feature parameters are synthesized into a principal component factor (PCF) as a representative assessment parameter. The results of the analysis demonstrate that the variation in the PCF exhibits three characteristic stages, i.e., “stationary-deviation-acceleration,” and can effectively identify the stability evolution trend and collapse precursor behavior of hazardous rock block. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text