Inverse analysis of frictional coefficients of pipelines based on PSO

被引：0

作者：

Liu, Li-Peng ^{[1
]}

Qie, Zhi-Hong ^{[1
]}

Wu, Xin-Miao ^{[1
]}

Li, Yan-Jun ^{[2
]}

Zhang, Zhao ^{[1
]}

机构：

[1] Agr Univ Hebei, Dept Water Conservancy Engn, Baoding 071001, Hebei, Peoples R China

[2] Baoding Municipal Water Supply Co, Baoding 071001, Hebei, Peoples R China

来源：

PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2007年

关键词：

pipe network; particle swarm optimization (PSO); frictional coefficient; node water head method;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Frictional coefficient is an important hydraulic parameter for pipe network design and scheduling calculation. The inverse analysis to frictional coefficient has much meaning to pipe network optimization and reconstruction. Combining the particle swarm optimization with node water head method, a new inverse analysis method to frictional coefficient is put forward. The example analysis result shows that the method is rapid and easy to find the globally optimal solution.

引用

页码：920 / +

页数：2

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