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PREDICTION MODEL FOR CHANGE IN PERFORMANCE OF RUBBLE MOUND REVETMENT UNDER DAMAGE PROGRESSION
[摘要] In this study, the change characteristics of wave dissipation performance of rubble mound revetment under the damage progression of armor layer are investigated using a numerical wave flume and a series of model profiles for damaged armor layer. The reflection coefficient and wave overtopping rate are used as the performance measures. A number of irregular waves with different wave profiles and wave grouping properties are generated in the numerical wave flume to obtain many data of the performance measures. Secondly, an artificial neural network (ANN) model is applied to predict the change of the performance measures with the cumulative damage of armor layer. The three - layered neural network calibrated by the results of the numerical experiments can predict the reflection coefficient with sufficient accuracy and the overtopping rate reasonably well.
[发布日期]  [发布机构] 
[效力级别]  [学科分类] 建筑学
[关键词] rubble-mound revetment;cumulative damage of armor layer;numerical wave flume;artificial neural network [时效性] 
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