DOI QR코드

DOI QR Code

통계관리도 기법을 적용한 사면붕괴 예측

Prediction of Slope Failure Using Control Chart Method

  • Park, Sung-Yong (National Disaster Management Research Institute) ;
  • Chang, Dong-Su (National Disaster Management Research Institute) ;
  • Jung, Jae-Hoon (Department of Statistics, Kangwon National University) ;
  • Kim, Young-Ju (Department of Statistics, Kangwon National University) ;
  • Kim, Yong-Seong (Department of Regional Infrastructure Engineering, Kangwon National University)
  • 투고 : 2018.03.21
  • 심사 : 2018.06.19
  • 발행 : 2018.06.30

초록

본 연구에서는 사면 붕괴시 거동특성을 분석하기 위하여 실규모 사면 붕괴 모의실험을 수행하고, 계측된 자료를 역변위와 분석구간(K)의 변화에 따른 x-MR 관리도를 통해 분석하였다. 본 연구 결과, 역변위와 x-MR 관리도 분석에서 사면이 최종 붕괴하기 4분 앞선 시점에서 붕괴 위험징후를 확인하였다. 분석구간에 따른 관리 한계선의 변화를 분석한 결과, x-MR 관리도 작성시 K는 3을 적용하는 것이 효과적이며, 역변위의 x-MR 관리도 기법을 활용함으로써 보다 신속하고 객관적인 판단을 통해 사면 이상거동에 대한 사전예측에 도움이 될 것으로 판단된다. 통계관리도 기법을 적용한 사면붕괴 예측기법은 사면 계측관리기준의 기초자료로 활용이 가능하며, 사면 재해로 인한 인명 및 재산피해 경감에 기여할 수 있을 것으로 판단된다.

In this study, a field model experiment was performed to analyze the bahavior of slope during failure. It was analyzed through x-MR control chart method with inverse displacement and K-value. As a result, the portent was confirmed at 4 minutes before slope failure in Case 1. The change of the control limit line according to moving range was analyzed and it was effective to apply K = 3. Use of the inverse displacement and x-MR control chart method will be useful for the prediction of abnormal behavior through quick and objective judgment. Prediction of slope failure using control chart method can be used as basic data of slope measurement management standard, and it can contribute in reduction of life and property damage caused by slope disaster.

키워드

참고문헌

  1. Han, J. G., Hong, K. K., Lee, J. Y. and Jung, S. K. (2011), Application Evaluation of Countermeasure Method using Analysis of Failure Causes for Reinforced Slope, Journal of Korean Geosynthetics Society, Vol.10, No.1, pp.9-18 (in Korean).
  2. Kim, S. B. (2014), Unstable soil behavior detecting methods in flume test using applied statistical analysis, Master dissertation, Chungbuk National University, Korea (in Korean).
  3. Korea Institute of Geoscience and Minreal Resources (2014), Development of an integrated early detection system of landslides based on a real-time monitoring, Research Institute Report (in Korean).
  4. Kwon, O. I., Baek, Y. and Seo, Y. S. (2008), Development of slope displacement data analysis system using control chart theory, Korean Society of Engineering Geology Conference, pp.137-143 (in Korean).
  5. Lee, J. D. (2015), The R&D research on Construction of Monitoring Management System for Evacuation Inhabitant in Steep Slope Site and Development of Monitoring Specification (in Korean).
  6. Lee, J. D. (2015), The R&D research on Construction of Monitoring Management System for Evacuation Inhabitant in Steep Slope Site and Development of Monitoring Specification (in Korean).
  7. Lim, S. B. and Seo, Y. S. (2009), A New Method for the Analysis of Measured Displacements during Tunnelling using Control Charts, The Journal of Engineering Geology, Vol.19, No.3, pp.261-268 (in Korean).
  8. Ministry of Public Safety and Security (2016), Steep slope management practice manual (in Korean).
  9. Park, S. Y., Jung, H. D., Kim, Y. J. and Kim, Y. S. (2017), A study of behavior Slope Failure Using Excavation Experiment, Journal of the Korean of Agricultural Engineers, Vol.59, No. 5, pp.101-108 (in Korean).
  10. Park, S. Y., Min, Y. S., Kang, M. S., Jung, H. D., Flimban, G. and Kim, Y. S. (2017), Slope failure prediction through the analysis of surface ground deformation on field model experiment, Journal of Korean Geosynthetics Society, Vol.16, No.3, pp.1-10 (in Korean). https://doi.org/10.12814/jkgss.2017.16.1.001
  11. Shewhart, W. A. (1924), Some applications of statistical methods to the analysis of physical and engineering data, Bell System Technical Journal, Vol.3, No.1, pp.43-87. https://doi.org/10.1002/j.1538-7305.1924.tb01347.x
  12. Shin, E. C. and Kim, J. I. (2017), Stability Analysis of Geocell Reinforced Slope During Rainfall, Journal of Korean Geosynthetics Society, Vol.16, No.4, pp.33-41 (in Korean). https://doi.org/10.12814/JKGSS.2017.16.4.033
  13. Voight, B. (1988), A method for prediction of volcanic eruption, Nature, Vol.332, No.6160. pp.125-130. https://doi.org/10.1038/332125a0
  14. Yoo, B. S. (2006), A Study of Failure Analysis Method based on Real-time Monitoring Data for Landslide Warning System, Ph.D. dissertation, Graduate School Kumoh National Institute of Technology, Korea (in Korean).
  15. Yoo, B. S., Park, Y. D., Lee, K. S. and Chang, K. T. (2009), Failure Prediction and Analysis of Prone-landslide with Xbar-R Management Chart, Korean Society of civil Engineers Conference, pp.1799-1802 (in Korean).
  16. Yun, H. S., Song, K. J., Shin, Y. W., Kim, C. Y., Choo, S. Y. and Seo, S. S. (2014), Application of x-MR control chart on monitoring displacement for prediction abnormal ground behavior in tunnelling, Journal of Korean Tunnelling Underground Space Association, Vol.16, No.3, pp.1-10 (in Korean). https://doi.org/10.9711/KTAJ.2014.16.1.001