Comparative study on identification methods of pipe roughness coefficients in water networks

LiuYongXin, ZOU Ping-hua

School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China



Abstract:

In this paper,we improve object functions and constraint conditions of genetic algorithms (GAs) applied in PRCs identification of water networks.This identification method can increase calculation efficiency,but can not solve an identification problem with infinitely many solutions well.Then we propose PRCs identification based on the minimal norm method,which satisfies observability conditions and has advantages of high computing efficiency and short time consumption.The two identification methods are applied in a water network,and their identification results are compared under the same conditions.From the results,we know that PRCs identification based on the minimal norm method has advantages of higher computing efficiency,shorter time consumption and higher precision.

Key words:  PRCs  water networks  identification  improved GA  minimal norm method

DOI：10.11916/j.issn.1005-9113.2011.06.025

Clc Number:TU991.33

Fund: