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采动影响下建筑物损害程度的模糊聚类分析
引用本文:郭文兵,刘义新,李小双.采动影响下建筑物损害程度的模糊聚类分析[J].采矿与安全工程学报,2007,24(3):288-292.
作者姓名:郭文兵  刘义新  李小双
作者单位:河南理工大学,能源科学与工程学院,河南,焦作,454003
基金项目:河南省杰出青年科学基金资助项目(0612002100)
摘    要:在建筑物下采煤之前,需要准确预测和评价地下开采对地表建筑物的损害程度.在分析采动影响下建筑物损坏程度影响因素的基础上,结合建筑物采动损害典型实例,采用基于模糊等价关系的模糊聚类分析方法,对采动影响下建筑物损害程度进行了分类研究.研究结果表明:用模糊聚类分析方法评价建筑物的采动损害程度是可行的,其评价结果与实际符合较好,为建筑物采动损害程度的预测和评价提供了一种新的方法.

关 键 词:采动损害  建筑物  模糊数学  模糊聚类分析
文章编号:1673-3363(2007)03-0288-05
收稿时间:2006-11-28
修稿时间:2006年11月28

Fuzzy Clustering Analysis of Mining Induced Damages of Buildings
GUO Wen-bing,LIU Yi-xin,LI Xiao-shuang.Fuzzy Clustering Analysis of Mining Induced Damages of Buildings[J].Journal of Mining and Safety Engineering,2007,24(3):288-292.
Authors:GUO Wen-bing  LIU Yi-xin  LI Xiao-shuang
Abstract:It is necessary to predict and evaluate precisely the mining-induced damages of buildings before extracting coal reserves under buildings. Based on analyzing the main factors affecting such damages, according to some typical cases of buildings damaged by mining, the fuzzy mathematics method was used to study and evaluate the mining-induced damage situation. The result shows that this method is feasible in predicting and evaluating the mining-induced damages of buildings and the prediction is in good accordance with the actual situation, having provided a new method for predicting the mining-induced damage of buildings.
Keywords:mining-induced damage  building  fuzzy mathematics  fuzzy clustering analysis
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