Optimization of Clay Core Dimensions in Earth Dams Using Genetic Algorithm

Regarding to problems that may arise during optimization of all parts of an earth dam simultaneously, it is more convenient to optimize each part separately by considering the effects of other parts on it. In this research, a new program for optimal geometry design of the clay core in embankment dams was proposed. This program leads to desired design with minimum volume of core materials. A genetic algorithm was employed to fulfill the design. The algorithm, judiciously searches for optimal design within the problem space. While the algorithm searches for optimization, some constraints such as seepage, hydraulic gradient and safety factor of stability are considered. In order to determine the values of these constraints through different kinds of designs, the new simple models were used. These models were obtained by linear regression approach. The results shows that regression models have successful operations and a general optimal plan design of core can be achieved for embankment dams.