Shape Optimization of Trapezoidal Labyrinth Weirs Using Genetic Algorithm

被引：0
作者：
Nazila Kardan
Yousef Hassanzadeh
Babak Shakooei Bonab
机构：
[1] Azarbaijan Shahid Madani University,Department of Civil Engineering
[2] University of Tabriz,Faculty of Civil Engineering
来源：
Arabian Journal for Science and Engineering | 2017年 / 42卷
关键词：
Labyrinth weir; Optimization; Genetic algorithm; Sensitivity analysis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper describes a methodology for shape optimization of trapezoidal labyrinth weirs. The objective function is the volume of the weir. Different parameters of the weir are introduced as design variables including the total width of weir, width of upstream apex and actual length of side leg. Sensitivity analysis revealed that three design variables of weir width in one cycle, weir leg and number of cycles are the main parameters affecting weir optimization solution. The constraint conditions are the weir geometric shape and its different ratios. Genetic algorithm is applied to perform optimization process. The proposed method is applied successfully to Ute Dam labyrinth weir, and the results are compared with the real one. The results indicated that the volume of the trapezoidal labyrinth weir is reduced by an average of 21% which is obtained per 14 cycle numbers.
引用
收藏
页码：1219 / 1229
页数：10
相关论文
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