Evaluation of Slope Condition using Principal Component Analysis

주성분분석법을 이용한 사면 상태 평가

  • Jung, Soo-Jung (Dept. of Civil & Environ. Engineering, Korea Maritime University) ;
  • Kim, Tae-Hyung (Dept. of Civil Engineering, Korea Maritime University) ;
  • Kang, Ki-Min (Soiltech engineering) ;
  • Lee, Young-Jun (Dept. of Civil & Environ. Engineering, Korea Maritime University)
  • 정수정 (한국해양대학교 토목환경공학과) ;
  • 김태형 (한국해양대학교 토목공학과) ;
  • 강기민 ((주)쏘일테크 엔지니어링) ;
  • 이영준 (한국해양대학교 토목환경공학과)
  • Published : 2010.09.09


Estimating condition of geotechnical structures are difficult because of nonlinear time dependency and seasonal effects. Measuring data of structure failure is highly variable in time and space, and a unique approach cannot be defined to model structure movements. Characteristics of movements are obtained by using a statistical method called Principal Component Analysis(PCA). The PCA is a non-parametric method to separate unknown, statistically uncorrelated source processes from observed mixed processes. Instead, since the "best" mathematical relationship is estimated for given data sets of the input and output measured from target systems. As a consequence, this method is advantageous in modeling systems whose geomechanical properties are unknown or difficult to be measured.