Calibration of Pipe Roughness Coefficient Based on Manning Formula and Genetic Algorithm  

作　　者：于志强 田一梅 郑毅 赵新华 

机构地区：[1]School of Environmental Science and Engineering, Tianjin University [2]Tianjin Finance City Development Co. Ltd.

出　　处：《Transactions of Tianjin University》2009年第6期452-456,共5页天津大学学报（英文版）

基　　金：Supported by National Natural Science Foundation of China (No 50778121);Science and Technology Innovation Special Foundation of Tianjin (NO 06FZZDSH00900)

摘　　要：This paper presents a method to calibrate pipe roughness coefficient (i.e., Manning n-factor) with genetic algorithm (GA) under multiple loading conditions. Due to the old pipe age as well as deleting valves and blends in the skeleton of distribution network, most of the pipes in hydraulic model of practical water distribution system (WDS) are rough. The commonly used Hazen-Williams C-factor is therefore replaced by Manning n-factor in calibrating WDS hydraulic model. Adjustment to GA is designed, and the program efficiency is improved. A case study shows that the adjustment can save 60% of the total runtime. About 90% of the relative differences between simulated and observed pressures at monitoring locations are lower than 3%, which suggests that the proposed adjustment to the calibration is efficient and effective.This paper presents a method to calibrate pipe roughness coefficient （i.e., Manning n-factor） with genetic algorithm （GA） under multiple loading conditions. Due to the old pipe age as well as deleting valves and blends in the skeleton of distribution network, most of the pipes in hydraulic model of practical water distribution system （WDS） are rough. The commonly used Hazen-Williams C-factor is therefore replaced by Manning n-factor in calibrating WDS hydraulic model. Adjustment to GA is designed, and the program efficiency is improved. A case study shows that the adjustment can save 60% of the total runtime. About 90% of the relative differences between simulated and observed pressures at monitoring locations are lower than 3%, which suggests that the proposed adjustment to the calibration is efficient and effective.

关 键 词：genetic algorithm CALIBRATION pipe roughness coefficient Manning n-factor 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]