THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM

HUANG Ming; LIU Jun

doi:10.13204/j.gyjz202005011

Volume 50 Issue 5

Jul. 2020

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HUANG Ming, LIU Jun. THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011

Citation:

HUANG Ming, LIU Jun. THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011

HUANG Ming, LIU Jun. THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011

Citation:

HUANG Ming, LIU Jun. THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM[J]. INDUSTRIAL CONSTRUCTION, 2020, 50(5): 66-70,43. doi: 10.13204/j.gyjz202005011

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THE SAFETY MONITORING AND PROGNOSTIC SYSTEM OF SLOPE BASED ON PHM

doi: 10.13204/j.gyjz202005011

HUANG Ming^1,2,
LIU Jun³

1. School of Civil Engineering, Hefei University of Technology, Hefei 230009, China;
2. Key Laboratory of Geological Hazards on Three Gorges Reservoir Area(China Three Gorges University), Ministry of Education, Yichang 443000, China;
3. School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiaotong University, Shanghai 200240, China

Received Date: 2019-11-13
Publish Date: 2020-07-14

Abstract

Abstract

In order to quantitatively recognize the operation state of a slope and predict its risk of instability, based on the theory of Prognostic and Health Management (PHM), the framework of slope PHM system was studied considering the monitoring situation. Based on the performance degradation fault forecast method, the Failure Rate (FR) and Residual Safety Degree (RSD) were defined based on the actual displacement of slope. According to the characteristics of slope sliding, combining Saito Michitakanori method and neural networks, the slope slip time and the critical displacement were predicted from the monitoring displacements. The FR and RSD formulas were established, and the performance degradation time curve was drawn to realize the quantitative identification and forecast FR and RSD. They could be used to provide direct guidance for appropriate governance and maintenance. According to the monitoring information of a slope, the FR forecast process of displacement for slope PHM system was explained in detail. Its analytical model and forecasted results were in good agreement with the slope actual situation.
- slope,
- PHM,
- displacement,
- failure rate,
- forecast

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References(22)

References

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