现有动床阻力计算公式验证与比较
发布时间:2018-09-12 21:18
【摘要】:以64组室内水槽试验资料和1 000多组黄河下游河道实测水沙资料为依据,首先对Van Rijn、张红武及秦荣昱提出的动床阻力公式进行评价,同时采用数理统计方法中偏差比R、几何标准差AGD、均方根RMS对这些公式的计算精度进行比较.计算结果表明:对于河道资料,张红武公式的计算精度最高;对于水槽资料,Van Rijn公式的计算精度最高.然后利用实测资料对糙率系数n的影响因素做了进一步分析.分析表明糙率系数随弗劳德数的增大而减小,并拟合得到两者的对数型关系式,该式对黄河下游及水槽床面糙率的预测具有较高的精度.
[Abstract]:Based on 64 groups of indoor flume test data and more than 1 000 groups of measured water and sediment data of the lower Yellow River, the dynamic bed resistance formula proposed by Van Rijn, Zhang Hongwu and Qin Rongyu is evaluated. At the same time, the accuracy of these formulas is compared by using the deviation ratio R and the geometric standard deviation AGD, root mean square RMS in the mathematical statistical method. The results show that the accuracy of Zhang Hongwu formula is the highest for channel data and the highest for flume data. Then the influencing factors of roughness coefficient n are further analyzed by using the measured data. The analysis shows that the roughness coefficient decreases with the increase of Froude number, and the logarithmic relationship between them is obtained by fitting, which has a high accuracy in predicting the roughness of the lower Yellow River and the flume bed.
【作者单位】: 武汉大学水资源与水电工程科学国家重点实验室;
【基金】:国家自然科学基金项目(编号:51379156) 水利部公益性行业科研专项经费项目(编号:201401038)
【分类号】:TV149
本文编号:2240243
[Abstract]:Based on 64 groups of indoor flume test data and more than 1 000 groups of measured water and sediment data of the lower Yellow River, the dynamic bed resistance formula proposed by Van Rijn, Zhang Hongwu and Qin Rongyu is evaluated. At the same time, the accuracy of these formulas is compared by using the deviation ratio R and the geometric standard deviation AGD, root mean square RMS in the mathematical statistical method. The results show that the accuracy of Zhang Hongwu formula is the highest for channel data and the highest for flume data. Then the influencing factors of roughness coefficient n are further analyzed by using the measured data. The analysis shows that the roughness coefficient decreases with the increase of Froude number, and the logarithmic relationship between them is obtained by fitting, which has a high accuracy in predicting the roughness of the lower Yellow River and the flume bed.
【作者单位】: 武汉大学水资源与水电工程科学国家重点实验室;
【基金】:国家自然科学基金项目(编号:51379156) 水利部公益性行业科研专项经费项目(编号:201401038)
【分类号】:TV149
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