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
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;
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
DOI :
10.1109/ICMLC.2007.4370273
