Neural Network for Stability Analysis of Rubble-Mound Breakwaters
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 121, Issue 6
Abstract
This paper examines the applicability of a neural network to analyze model test data of the stability of rubble-mound breakwaters. The neural network is an information-processing system, modeled on the structure of the human brain, that is able to deal with information whose interrelation is not clear. Seven parameters concerning the stability of rock slopes are used: the stability number, the damage level, the number of attacking waves, the surf-similarity parameter, the permeability parameter, the dimensionless water depth in front of the structure, and the spectral shape parameter. The damage levels predicted by the neural network, calibrated by using a part of Van der Meer's 1988 experimental data, agree satisfactorily well with the measured damage levels of another part of the data source by Van der Meer 1988 and by Smith et al.'s 1992 data. The agreement between the predicted stability numbers by the neural network and the measured stability numbers is also good.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Hudson, R. Y. (1958). “Design of quarry stone cover layer for rubble mound breakwaters.”Res. Rep. No. 2-2, Waterways Experiment Station, Coast. Engrg. Res. Ctr., Vicksburg, Miss.
2.
Ichikawa, H. (1993). Layered neural network . Kyoritu-Shuppan Co., Ltd., 184 (in Japanese).
3.
Kaku, S. (1990). “Hydraulic stability of rock slopes under irregular wave attack,” master thesis, Univ. of Delaware, Newark, Del.
4.
Kaku, S., Kobayashi, N., and Ryu, C. R. (1991). “Design formulas for hydraulic stability of rock slopes under irregular wave attack.”Proc., 38th Japanese Conf. on Coast. Engrg., Japan Soc. of Civ. Engrs. (JSCE), Tokyo, Japan, 661–665 (in Japanese).
5.
Mase, H., and Kobayashi, N. (1991). “Transformation of random breaking waves and its empirical numerical model considering surf beat.”Proc., Coast. Sediments '91, ASCE, New York, N.Y., 688–702.
6.
Medina, J. R., Fassardi, C., and Hudspeth, R. T. (1990). “Effects of wave groups on the stability of rubble mound breakwaters.”Proc., 22nd Int. Conf. on Coast. Engrg., ASCE, New York, N.Y., 1552–1563.
7.
Nakano, K., Inuma, K., and Kiritani, W. (1989). “Neurocomputer.” Gijutu-Hyoronsha Co. Ltd. (in Japanese).
8.
Nielsen, R. H.(1988). “Neural computing: picking the human brain.”IEEE Spectrum, 25(3), 36–41.
9.
Ryu, C. R., and Sawaragi, T. (1986). “A new design method of rubble mound structures.”Proc., 20th Int. Conf. on Coast. Engrg., ASCE, New York, N.Y., 2188–2202.
10.
Smith, W. G., Kobayashi, N., and Kaku, S. (1992). “Profile changes of rock slopes by irregular waves.”Proc., 23rd Int. Conf. on Coast. Engrg., ASCE, New York, N.Y., 1559–1572.
11.
Van der Meer, J. W. (1988). “Rock slopes and gravel beaches under wave attack,” PhD thesis, Delft Univ. of Technol., Delft, The Netherlands.
Information & Authors
Information
Published In
Copyright
Copyright © 1995 American Society of Civil Engineers.
History
Published online: Nov 1, 1995
Published in print: Nov 1995
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.