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Calculating Expected Damage of Breakwater Using Artificial Neural Network for Wave Height Calculation  

Kim, Dong-Hyawn (Department of Coastal Construction Engineering, Kunsan National University)
Kim, Young-Jin (Department of Ocean Industrial Engineering, Kunsan National University)
Hur, Dong-Soo (Department of Ocean Civil Engineering (Institute of Marine Industry), Gyeongsang National University)
Jeon, Ho-Sung (Department of Ocean Civil Engineering (Institute of Marine Industry), Gyeongsang National University)
Lee, Chang-Hoon (Department of Civil & Environmental Engineering, Sejong University)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.22, no.2, 2010 , pp. 126-132 More about this Journal
Abstract
An approach to calculating expected damage of breakwater assisted by artificial neural network was developed. Wave height in front of a breakwater was predicted by a trained artificial neural network with inputs of wave height in deep ocean and tidal level. Prediction results by the neural network can be comparable to that by professional numerical model for wave transformation. Using the wave prediction neural network, it was very easy and fast to obtain a number of significant waves at breakwater and finally analysis time for expected damage can be shortened. In addition, the effect of considering tidal level in the calculation of expected damage was revealed by comparing the expected damages with and without tidal variation. Therefore, it was pointed out that tidal variation should be considered to improve prediction accuracy.
Keywords
breakwater; expected damage; reliability; neural network; tide; wave transformation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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