Ocean and Polar Research

Korea Institute of Ocean Science & Technology (한국해양과학기술원)
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Prediction of Failure Probability of Breakwater using Neural Network

신경망을 활용한 사석식 방파제의 파괴확률예측

  • Kim, Dong-Hyawn (Coastal and Harbor Engineering Research Division, KORDI) ;
  • Park, Woo-Sun (Coastal and Harbor Engineering Research Division, KORDI) ;
  • Han, Sang-Hun (Coastal and Harbor Engineering Research Division, KORDI)
  • 김동현 (한국해양연구원 연안.항만공학연구본부) ;
  • 박우선 (한국해양연구원 연안.항만공학연구본부) ;
  • 한상훈 (한국해양연구원 연안.항만공학연구본부)
  • Published : 2003.09.30
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Abstract

A new approach to reliability analysis of rubble mound breakwater using neural network is proposed. At first, a neural network model which can estimate the stability number of any breakwaters for some design conditions is trained. Then, the neural network model is integrated with Monte Carlo simulation technique in order to calculate probability of failure for the breakwater. The proposed technique is compared with conventional approach using empirical formula.

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References

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