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Prediction of Failure Probability of Breakwater using Neural Network
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  • Journal title : Ocean and Polar Research
  • Volume 25, Issue spc3,  2003, pp.347-351
  • Publisher : Korea Institute of Ocean Science & Technology
  • DOI : 10.4217/OPR.2003.25.spc3.347
 Title & Authors
Prediction of Failure Probability of Breakwater using Neural Network
Kim, Dong-Hyawn; Park, Woo-Sun; Han, Sang-Hun;
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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.
 Keywords
breakwater;stability;neural network;reliability based design;Monte Carlo simulation;
 Language
Korean
 Cited by
 References
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