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基于冲刷指数的雨水管渠冲刷淤积分析

Analysis of scour and siltation in storm conduit based on flush index

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【作者】 周毅龚媛媛汪志慧李璟冉冯慧娟

【Author】 ZHOU Yi;GONG Yuanyuan;WANG Zhihui;LI Jingran;FENG Huijuan;School of Civil Engineering, Wuhan University;Hubei Key Laboratory of Water System Science for Sponge City Construction(Wuhan University);Central and Southern China Municipal Engineering Design and Research Institute Co., Ltd.;

【通讯作者】 周毅;

【机构】 武汉大学土木建筑工程学院海绵城市建设水系统科学湖北省重点实验室(武汉大学)中国市政工程中南设计研究总院有限公司

【摘要】 流速、雷诺数、充满度等单因素指标虽然与雨水管渠的冲刷和淤积量有一定的关联,但是通过单因素指标不足以全面地判断雨水管道的冲刷和淤积。在起动流速和止动流速的基础上,提出了冲刷指数的概念。结合连续非恒定流不同工况下冲刷和淤积量模拟,计算了流速、雷诺数、充满度、冲刷指数4个因素与冲刷量的灰色关联度,其关联度大小依次为:冲刷指数>雷诺数>充满度>流速。根据不同工况的恒定流模型实验的结果,其关联度大小依次为:冲刷指数>>流速>雷诺数>充满度。可以认为,在恒定流与非恒定流工况下,冲刷量和冲刷指数有显著的强相关性,冲刷指数能代替具体的冲刷量计算实现对冲刷程度和趋势的合理判断。

【Abstract】 Although the single-factor indicators such as flow velocity, Reynolds number, and depth ratio are related to the flush and silt volume of the storm conduit, the single-factor indicators are not enough to comprehensively judge the flush and siltation of the storm conduit. In this study, the concept of flush index is proposed on the basis of pick-up velocity and braking velocity. Combined with the flush and silt volume simulation under different working conditions of continuous and non-constant flow, gray relational analysis between flush volume and the four factors, which are flow velocity, Reynolds number, depth ratio and flush index, is made. The correlation degree is as follows: flush index > Reynolds number > depth ratio > flow velocity. According to the results of the constant flow model experiments under different working conditions, the correlation degree is as follows: flush index>> flow velocity> Reynolds number > depth ratio. It can be considered that under the condition of continuous and discontinuous flow, there is a significant strong correlation between the flush volume and the flush index, and the flush index can replace the specific flush volume calculation to achieve a reasonable judgment of the degree and trend of the flushing.

【基金】 武汉大学-中建三局绿投公司智慧水务科技创新研究中心项目(SWTIC-2022-01);中国长江三峡集团有限公司科研项目资助(HB/ZB2020093)
  • 【文献出处】 给水排水 ,Water & Wastewater Engineering , 编辑部邮箱 ,2024年01期
  • 【分类号】TU992.23
  • 【下载频次】28
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