基于熵权-可变模糊集模型的堤坝渗漏探测

针对堤坝中集中渗漏通道探测问题,基于信息熵理论和可变模糊集理论,建立用于堤坝渗漏探测的熵权-可变模糊集模型。以南方某水库为例,首先确定各探测指标,采用客观赋值法中的熵权法确定不同探测指标的权重;然后计算各钻孔水样相对于降水、渗漏水和地下水的综合相对隶属度以及各个钻孔的H值;最后依据相应的判断标准将钻孔水样进行分类,确定钻孔水的来源。结果表明,通过该模型确定此大坝存在4条集中渗漏通道,与前人结果一致。

Dam leakage detection based on entropy weight-variable fuzzy set model

Aiming at detecting the concentrated leakage passage in a dam, an entropy weight-variable fuzzy set model for dam leakage detection was developed based on information entropy theory and variable fuzzy set theory. Using a dam in southern China as an example, the indices to be detected were determined first, followed by the weight of each index via the entropy weight method in the objective weight assignment method. Then, the comprehensive membership degrees of different borehole water samples to precipitation, leakage water, and groundwater, as well as the H value of each water sample, were obtained. Based on these values, the borehole water samples were classified and their origins were determined. The results show that there are four concentrated leakage passages in the dam, which accords with previous findings.