Prediction of Deep Excavation-induced Ground surface movements using Artifical Neural Network

인공신경망기법을 이용한 굴착에 따른 지표침하평가

  • 유충식 (성균관 대학교 토목공학과) ;
  • 최병석 (성균관 대학교 토목공학과)
  • Published : 2003.03.01


This paper presents the prediction of deep excavation-induced ground surface movements using artifical neural network(ANN) technique, which is of prime importance in the perspective of damage assessment of adjacent buildings. A finite element model, which can realistically replicate deep excavation-induced ground movements was employed to perform a parametric study on deep excavations with emphasis on ground movements. The result of the finite element analysis formed a basis for the Arificial Neural Network(ANN) system development. It was shown that the developed ANN system can be effecting used for a first-order prediction of ground movements associated with deep-excavation.