Study the Affecting Factors on Free overfall Flow and Bed Roughness in Semi-Circular Channels by Artificial Neural Network
نویسندگان
چکیده
One of the significant problems facing water resource engineer is calculating coefficient roughness for subsequent design calculations discharge amount a channel or river. In this study, experiments were conducted in semi-circular, straight to investigate factors affecting bed and flow using Artificial Neural Network (ANN). For purpose, three semi-circular models with free overfall constructed installed 6-meter-long laboratory flume. The length these was 2.50 m different diameters (D= 150, 187, 237mm) slopes (S=0.004, 0.008, 0.012). Three sand particle sizes (ds) used each roughen bed. results showed that Manning obtained rough surface higher than smooth surface. Also, revealed Froude number inversely related. (ANN) analysis good agreement between experimental predicted roughness. bring depth (yb) had an 85.8% impact percentage on channels, while bottom slope (S) only 1.1%.
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ژورنال
عنوان ژورنال: Tikrit Journal of Engineering Science
سال: 2022
ISSN: ['2312-7589', '1813-162X']
DOI: https://doi.org/10.25130/tjes.29.4.8