The construction of gravity dams uses an interactive method involving preliminary layout of the structure followed by stability and stress studies. In this study, we present a method to define the optimal cross-sectional area of weight dams determined using genetic algorithms. To solve the optimization task (minimization of dumb costs), an optimization routine based on genetic algorithms (GA) was implemented in a Microsoft Excel spreadsheet. It proved adequate and the GA parameters were optimized in a parametric study. Using the parameters found in the parametric study, we determined the top width of the heavy wall and compared it with the slope-based optimization method (traditional method). The agreement between the two approaches was excellent. For the optimal dam cross-section, the ratio of dam base to dam height is ~0.85 and the ratio of dam crest width to dam height is ~0.13. This computational approach allows the calculation of the optimal top width for a wide range of gravity dam heights.
Author(s) Details:
Farzin Salmasi,
Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
John Abraham,
University of St. Thomas, Minnesota, School of Engineering 2115 Summit Avenue St. Paul, Minnesota 55105, USA.
Please see the link here: https://stm.bookpi.org/COSTR-V6/article/view/8411
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