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Risk Assesment for Large-scale Slopes Using Multiple Regression Analysis

다중회귀분석을 이용한 대규모 비탈면의 위험도 평가

  • Lee, Jong-Gun (Institute of Infrastructure Safety, Korea Infrastructure Safety Corporation) ;
  • Chang, Buhm-Soo (Institute of Infrastructure Safety, Korea Infrastructure Safety Corporation) ;
  • Kim, Yong-Soo (Institute of Infrastructure Safety, Korea Infrastructure Safety Corporation) ;
  • Suk, Jae-Wook (Institute of Infrastructure Safety, Korea Infrastructure Safety Corporation) ;
  • Moon, Joon-Shik (School of Architectural, Civil, Environmental and Energy Engrg., Kyungpook National Univ.)
  • 이종건 (한국시설안전공단 시설안전연구소) ;
  • 장범수 (한국시설안전공단 시설안전연구소) ;
  • 김용수 (한국시설안전공단 시설안전연구소) ;
  • 석재욱 (한국시설안전공단 시설안전연구소) ;
  • 문준식 (경북대학교 건설환경에너지공학부)
  • Received : 2013.08.13
  • Accepted : 2013.11.14
  • Published : 2013.11.30

Abstract

In this study, the correlation of evaluation items and safety rating for 104 of large-scale slopes along the general national road was analyzed. And, we proposed the regression model to predict the safety rating using the multiple regressions analysis. As the result, it is shown that the evaluation items of slope angle, rainfall and groundwater have a low correlation with safety rating. Also, the regression model suggested by multiple regression analysis shows high predictive value, and it would be possible to apply if the evaluation items of excavation condition and groundwater (rainfall) are not clear.

본 연구에서는 일반국도 상에 존재하는 2종 비탈면 104개소에 대해 상태평가 항목과 상태평가 등급의 연관성을 분석하고, 평가항목을 고려한 다중회귀분석을 통해 안전등급을 예측할 수 있는 회귀모형을 제시하였다. 분석결과, 사면경사와 강우 및 지하수의 평가항목은 상태평가 등급과의 연관성이 낮은 것으로 분석되었다. 또한, 다중회귀분석을 통해 제시된 회귀모형은 절취상태, 강우 및 지하수의 항목을 판단하기 어려운 조건에서 활용이 가능한 것으로 판단된다.

Keywords

References

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