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http://dx.doi.org/10.9765/KSCOE.2016.28.5.277

Calculation of Stability Number of Tetrapods Using Weights and Biases of ANN Model  

Lee, Jae Sung (Department of Civil and Environmental Engineering, Seoul National University)
Suh, Kyung-Duck (Department of Civil and Environmental Engineering, Seoul National University)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.28, no.5, 2016 , pp. 277-283 More about this Journal
Abstract
Tetrapod is one of the most widely used concrete armor units for rubble mound breakwaters. The calculation of the stability number of Tetrapods is necessary to determine the optimal weight of Tetrapods. Many empirical formulas have been developed to calculate the stability number of Tetrapods, from the Hudson formula in 1950s to the recent one developed by Suh and Kang. They were developed by using the regression analysis to determine the coefficients of an assumed formula using the experimental data. Recently, software engineering (or machine learning) methods are introduced as a large amount of experimental data becomes available, e.g. artificial neural network (ANN) models for rock armors. However, these methods are seldom used probably because they did not significantly improve the accuracy compared with the empirical formula and/or the engineers are not familiar with them. In this study, we propose an explicit method to calculate the stability number of Tetrapods using the weights and biases of an ANN model. This method can be used by an engineer who has basic knowledge of matrix operation without requiring knowledge of ANN, and it is more accurate than previous empirical formulas.
Keywords
artificial neural network; stability number; Tetrapod; breakwater;
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