Predicting the velocity field in a 90° Open channel bend using a gene expression programming model

被引：23

作者：

Gholami, Azadeh ^{[1
]}

Bonakdari, Hossein ^{[1
]}

Zaji, Amir Hossein ^{[1
]}

Akhtari, Ali Akbar ^{[1
]}

Khodashenas, Saeed Reza ^{[2
]}

机构：

[1] Razi Univ, Dept Civil Engn, Kermanshah, Iran

[2] Ferdowsi Univ Mashhad, Water Engn Dept, Mashhad, Iran

来源：

FLOW MEASUREMENT AND INSTRUMENTATION | 2015年 / 46卷

关键词：

Channel bend; Experimental study; GEP model; Input combination; Velocity prediction; WATER-SURFACE; SIMULATION; FLOW; SCOUR;

D O I：

10.1016/j.flowmeasinst.2015.10.006

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

In the present study, a gene expression programming (GEP) model is used to predict the velocity field in a 900 channel bend. By defining six different models, the effects of various input combinations on channel bend velocity prediction are investigated. An extensive experimental study was done on a 900 channel bend to evaluate the performance of the models. Experiments were conducted at 5 different discharges to obtain 325 depth-averaged velocity data. The comparison results indicate that the GEP with root mean square error of 0.0236, correlation coefficient of 0.9676 and average absolute deviation of 4.4685 performed well in velocity field prediction in bends. Additionally, an explicit equation to evaluate channel bend velocity was proposed, and it is applicable in practical cases. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：189 / 192

页数：4

共 25 条

[1] Genetic Programming to Predict River Pipeline Scour [J].