Economizing The Stability Of Rubble-mound
Breakwaters Using Artificial Neural Network
Author(s)
M. Shakeri Majd, M. A. Lashteh Neshaei & M. Salehi
Abstract
Economic design in different types of breakwaters has been a most important
issue. Although advanced models exist, they are often based on two-dimensional
simulations using plane-stress method. A new approach was used in three
dimensional analyses, which is based on the finite element method to recognize
the best stability of structure in rubble-mound breakwaters. Also the geometry of
modeling was explored by artificial neural network to assess the validity of
geometry. As a case study, the results of the 3D finite element method and
artificial neural network are investigated by a Caspian Sea breakwater’s data.
The converge ratio of these methods are close to unity. The results show the
good ability of artificial neural network in training and estimating the geometry
of armor layer and the stability of rubble-mound breakwaters by a good
accuracy.
Keywords: rubble mound breakwaters, geometry, artificial neural network
economizing, marine transportation.
1 Introduction
Breakwaters are constructed to provide protection to the port and harbor facilities
from dynamic forces of the ocean waves. The traditional and most commonly
used breakwaters are of the rubble mound type which consists of one or two
layers of armor stone, one or two filter layers and a core of quarry. The design of
the breakwater section, which is normally of trapezoidal shape, is described in
Keywords
rubble mound breakwaters, geometry, artificial neural network
economizing, marine transportation.
Related Book
Other papers in this volume
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