DocumentCode
467718
Title
Inverse Analysis of Frictional Coefficients of Pipelines Based on PSO
Author
Liu, Li-peng ; Qie, Zhi-Hong ; Wu, Xin-miao ; Li, Yan-jun ; Zhang, Zhao
Author_Institution
Agric. Univ. of Hebei, Baoding
Volume
2
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
920
Lastpage
924
Abstract
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.
Keywords
friction; hydraulic systems; particle swarm optimisation; pipelines; pipes; water supply; frictional coefficients; inverse analysis; particle swarm optimization; pipelines; Agricultural engineering; Birds; Cybernetics; Design engineering; Machine learning; Magnetic heads; Maximum likelihood estimation; Particle swarm optimization; Pipelines; Water conservation; Frictional coefficient; Node water head method; Particle swarm optimization (PSO); Pipe network;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370273
Filename
4370273
Link To Document