Journal of the Korea Institute of Building Construction (한국건축시공학회지)

The Korean Institute of Building Construction (한국건축시공학회)
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A Study on Neural Networks Forecast Model of Deep Excavation Wall Movements

인공신경망 기법을 활용한 굴착공사 흙막이 변위량 예측에 관한 연구

  • 신한우 (목포대학교 건축공학부 건축공학) ;
  • 김광희 (목포대학교 건축공학부 건축공학) ;
  • 김용석 (목포대학교 건축공학부 건축공학)
  • Published : 2007.09.20
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Abstract

To predict deep excavation wall movements is important in the urban areas considering the cost and the safety in construction. Failing to estimate deep excavation wall movements in advance causes too many problems in the projects. The purpose of this study is to propose the forecast model of deep excavation wall movements using artificial neural networks. The data of the Deep Excavation Wall Movements which were done form Long research is used of Artificial neural networks training and apply the real construction work measured data to the Artificial neural networks model. Applying the artificial neural networks to forecast the deep excavation wall movements can significantly contribute to identifying and preventing the accident in the overall construction work.

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References

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