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水力发电学报 ›› 2019, Vol. 38 ›› Issue (4): 75-86.doi: 10.11660/slfdxb.20190408

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基于聚类分析的堤防溃口水力边界特征值研究

  

  • 出版日期:2019-04-25 发布日期:2019-04-22

Characteristic parameters of hydraulic boundary at embankment breaches based on cluster analysis

  • Online:2019-04-25 Published:2019-04-22

摘要: 在进行堤防溃口发生机理研究和开展堵口技术研究时,确定典型堤防溃口水力边界特征值是整个研究的重要基础和前提。而实际堤防溃口由于复杂多变,实测资料数据少且不齐全,难以准确获取典型溃口水力边界条件。本文利用收集到的100多组国内外堤防/土坝溃口实例和试验数据,基于聚类分析方法建立了溃口水力边界特征值间的相关关系,对缺失值进行了关联拟合补值;同时通过对溃口无量纲化特征值的概率密度统计分析,得出概化典型溃口水力边界参数与相关方程。分析表明:溃口宽多在20 ~ 100 m,口门水头多在4 ~ 12 m,口门流速多在2 ~ 8 m/s,分布概率均在64% ~ 71%。溃口宽深比和弗劳德数的概率密度均服从正态分布特征,溃口宽深比取3 ~ 8的分布频率约为55%,弗劳德数取0.4 ~ 0.8对应的分布频率约为60%。

关键词: 堤防溃口, 水力边界特征, 聚类分析, 缺失值, 概率密度

Abstract: Hydraulic boundary conditions at an embankment breach must be specified to study the mechanism of embankment breaching or breach repair technologies, but accurate specification of these conditions is difficult due to incomplete measured data and the complexity and disparity of a real breach. In this work, we collect and analyze 100 groups of prototype data and experimental test data of embankment failure and earth dam failure, and establish the correlation between the parameters charactering the hydraulic boundaries at embankment breaches and supplement the missing values through data correlation and fitting based on a cluster analysis approach. For a generalized typical breach, we obtain its hydraulic boundary parameters and related equations using statistical analysis of the probability density of its dimensionless parameters. The analysis shows that most of the breaches feature with a width of 20-100 m, a water head of 4-12 m, and a mean flow velocity of 2-8 m/s, and that the distribution probabilities of these parameters’ values are all in the range of 64%-71%. The probability densities of both the width-to-depth ratio and flow Froude number of the breach follow the normal distribution; the probability is roughly 55% of the former in the range of 3-8 and 60% of the latter in the range of 0.4-0.8.

Key words: embankment breach, hydraulic boundary characteristic parameters, cluster analysis, missing values, probability density

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