신경망을 활용한 사석식 방파제의 파괴확률예측 SCOPUS KCI

Title
신경망을 활용한 사석식 방파제의 파괴확률예측
Alternative Title
Prediction of Failure Probability of Breakwater using Neural Network
Author(s)
김동현; 박우선; 한상훈
KIOST Author(s)
Park, Woo Sun(박우선)
Publication Year
2003
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.
ISSN
1598-141X
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/5566
Bibliographic Citation
Ocean and Polar Research, v.25, no.3s, pp.347 - 351, 2003
Keywords
breakwater; stability; neural network; reliability based design; Monte Carlo simulation; 방파제; 안정성; 신경망; 신뢰성설계; 몬테카를로 모사기법
Type
Article
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