基于多目标遗传算法的异型挑流鼻坎优化设计  

Optimal Design of Alien Flip Bucket Based on Multi-objective Genetic Algorithm

作　　者：张春海 Zhang Chunhai

机构地区：[1]吉林省水利科学研究院,吉林长春130022

出　　处：《吉林水利》2018年第3期25-28,共4页Jilin Water Resources

摘　　要：为有效降低水流对地面的冲刷,建立了基于多目标进化算法的挑流鼻坎的多目标优化设计模型。目标函数为水流冲击墙壁的造成的压力最小化和水流冲击墙壁速度最小化;设计变量为挑流鼻坎过水宽度和最终离开挑坎的高度;约束条件为固体边界、空气边界和进口流速。分析表明该优化设计方法对于挑流鼻坎的体型设计具有现实指导意义。In order to effectively reduce the erosion of water flow to the ground,an optimal design model based on the multi-objective evolutionary algorithm is advised in this paper.The objective function is the minimization of the pressure caused by the flow of water and the minimization of the flow impact on the wall velocity.The design variable is the width of the overflow and the height of the end of the bucket.The constraints are the solid boundary,the air boundary,and the inlet velocity.The results show that the optimal design model has practical guiding significance for the shape design of the alien flip bucket.

关 键 词：异型挑流鼻坎 多目标遗传算法 优化设计 

分 类 号：TV131.65[水利工程—水力学及河流动力学]