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机构地区:[1]中国地质大学(武汉)数学与物理学院 [2]中国地质大学(武汉)地球物理与空间信息学院,湖北武汉430074
出 处:《华中科技大学学报(自然科学版)》2005年第9期105-108,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)
基 金:国家自然科学基金资助项目(4017403440274038).
摘 要:提出了邻点融合法和阈值截取法等两种构造随机溶洞介质模型的方法.从现有的随机介质模型理论出发,以连续随机介质的每一个局部最大值点作为一个溶洞分布区的中心点,引入了溶洞分布区的局部半径R和局部溶洞密度p这两个模型特征量,采用邻点融合和阈值截取两种方法构造各种不同的随机溶洞介质模型.采用局部半径R描述溶洞介质在大尺度上的离散程度,采用局部密度p描述溶洞介质在各溶洞分布区中的局部空间密度.通过选择局部半径R和局部密度p这两个统计特征,可以方便地产生出各种不同形式的溶洞介质,并由此灵活、准确地描述实际的复杂溶洞介质.Brought forward two methods to simulate the random cave medium model, it was the method of neighbors' intei-fusion and the method of threshold value intercepting. From the existing theory of the random medium model, every single local maximum point of a continuous random medium as the center point of each cave distribution area was taken, the two model characteristic quantities namely the local radius R and the local density p were introduced, simulated all sorts of different random cave medium models by the method of neighbors' interfusion or by the method of the threshold value intercepting. The local radius R described the dispersion degree of the random cave medium on large scale and the local density p described the local space density of the cave medium in each cave distribution area. Via choosing the characteristic quantities namely the local radius R and the local density p, could generate a great variety of the different cave media, and thereout arrived at the theoretical cave model that was capable of describing the practical complex cave medium smartly and accurately.
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