Calibration of Pipe Roughness Coefficients under Multiple Loading Conditions by Real-coded Genetic Algorithm

摘要：

An implicit mathematical model is developed for calibrating pipe roughness coefficients in water distribution system hydraulic models which takes multiple steady-state loading conditions into account. The calibration model uses real-coded genetic algorithm along with a general network solver to adjust pipe roughness coefficients until simulation results agree with field measurements. An example is presented to show it is able to achieve a good level of accuracy in pipe roughness coefficients and accordingly the model predictions.

关键词： water distribution system hydraulic model calibration genetic algorithm pipe roughness coefficient multiple loading conditions

作者: Zhang Weiwei Yu Guoping Shu Shihu

作者单位: College of Environmental Science and Engineering Tongji University Shanghai, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 588-592

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）