边坡稳定性的聚类未确知综合识别方法及应用
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摘要
影响岩石边坡稳定性的因素众多且关系复杂,且存在大量未确知信息,很难用简单的方法进行分析判断,借鉴工程类比的思想,采用聚类与未确知测度相结合的方法进行研究。针对边坡工程问题环境的复杂性,以大量的历史数据为训练样本,通过动态聚类分析,求得其分类中心。针对大量的未确知信息,利用未确知测度方法对其进行评价,提出一种分析边坡稳定问题的新方法。研究表明,该算法可以对边坡的稳定状态进行预测,正确率在90%以上,为比较合理快速地分析边坡稳定分析方法提供了一条新的途径。
For the big disaster of landslide, it is important to study the stability of slopes. For the influence factors of rock slopes are numerous and their relationships are very complicated; it can not be solved by traditional methods; so generally based on engineering analogy, the clustering methods are used widely. For the complicated environment influence of slopes, this clustering is a complicated uncertained measurement optimization problem, and can not be solved by traditional methods very well. So, here the clustering uncertained measurement complicated algorithm has been introduced into slope engineering field for the first time. Based on this method, one new method for study stability of rock slope is proposed. Based on analyzing the data of slope examples, using clustering uncertained measurement complicated algorithm, the stability of rock slopes can be estimated. The engineering application can prove that, this new algorithm can automatically sort the slope samples, and the validity is more than 90%, so it is a very practical and new method for slope stability analysis.
For the big disaster of landslide, it is important to study the stability of slopes. For the influence factors of rock slopes are numerous and their relationships are very complicated; it can not be solved by traditional methods; so generally based on engineering analogy, the clustering methods are used widely. For the complicated environment influence of slopes, this clustering is a complicated uncertained measurement optimization problem, and can not be solved by traditional methods very well. So, here the clustering uncertained measurement complicated algorithm has been introduced into slope engineering field for the first time. Based on this method, one new method for study stability of rock slope is proposed. Based on analyzing the data of slope examples, using clustering uncertained measurement complicated algorithm, the stability of rock slopes can be estimated. The engineering application can prove that, this new algorithm can automatically sort the slope samples, and the validity is more than 90%, so it is a very practical and new method for slope stability analysis.
引文
[1]陈祖煜,汪小刚,杨健,等.岩质边坡稳定分析——原理、方法、程序[M].北京:中国水利电力出版社,2005.
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[9]董陇军,王飞跃.基于未确知测度的边坡地震稳定性综合评价[J].中国地质灾害与防治学报,2007,18(4):74-78.DONG Long-jun,WANG Fei-yue.Comprehensive evaluation on seismic stability of slopes based on unascertained measurement[J].The Chinese Journal of Geological Hazard and Control,2007,18(4):74-78.
[10]DONG Long-jun,PENG Gang-jian,FU Yu-hua,et al.Unascertained measurement classifying model of goaf collapse prediction[J].Journal of Coal Science&Engineering,2008,14(2):221-224.
[11]刘开第,庞彦军,孙光勇,等.城市环境质量的未确知测度评价[J].系统工程理论与实践,1999,19(12):52-58.LIU Kai-di,PANG Yan-jun,SUN Guang-yong,et a1.The unascertained measurement evaluation on a city's environmental quality[J].Systems Engineering Theory&Practice,1999,19(12):52-58.
[12]曹庆奎,刘开展,张博文.用熵计算客观型指标权重的方法[J].河北建筑科技学院学报,2000,17(3):40-42.CAO Qing-kui,LIU Kai-zhan,ZHANG Bo-wen.Calculation method of objective index weight by entropy[J].Journal of Hebei Institute of Architectural Science and Technology,2000,17(3):40-42.
[2]郑颖人,陈祖煜,王恭先,等.边坡与滑坡工程治理[M].北京:人民交通出版社,2007.
[3]马越平,宁淑平,李晓玲,等.应用灰色聚类方法评价边坡稳定性[J].内蒙古煤炭经济,2004,(2):78-81.MA Yue-ping,NING Shu-ping,LI Xiao-ling,et al.The gray assemble kind in the side slope stable of application[J].Inner Mongolia Coal Economics,2004,(2):78-81.
[4]谢全敏,夏元友.边坡稳定性评价的自适应模拟退火聚类分析法[J].灾害学,2002,17(1):15-19.XIE Quan-min,XIA Yuan-you.A self-adaptive clustering method based on the simulated annealing algorithm for evaluation of slope stability[J].Journal of Catastrophology,2002,17(1):15-19.
[5]谢全敏,夏元友.岩体边坡稳定性的可拓聚类预测方法研究[J].岩石力学与工程学报,2003,22(3):438-441.XIE Quan-min,XIA Yuan-you.Extension classification prediction method for the stability of rock-mass slopes[J].Chinese Journal of Rock Mechanics and Engineering,2003,22(3):438-441.
[6]付义祥,刘世凯,刘大鹏.RBF神经网络在边坡岩体稳定性中的预测研究[J].武汉理工大学学报(交通科学与工程版),2003,27(2):70-73.FU Yi-xiang,LIU Shi-kai,LIU Da-peng.Predicting models to estimate stability of tock slope based on RBF neural network[J].Journal of Wuhan University of Technology(Transportation Science&Engineering).2003,27(2):70-73.
[7]董陇军,李夕兵,宫凤强.膨胀土胀缩等级分类的未确知均值聚类方法及应用[J].中南大学学报(自然科学版),2008,39(5):1075-1080.DONG Long-jun,LI Xi-bing,GONG Feng-qiang.Unascertained average clustering method for classification of grade of shrink and expansion for expansive soils and its application[J].Journal of Central South University(Science and Technology),2008,39(5):1075-1080.
[8]董陇军,李夕兵,宫凤强.开采地面沉陷预测的未确知聚类预测模型[J].中国地质灾害与防治学报,2008,19(2):95-99.DONG Long-jun,LI Xi-bing,GONG Feng-qiang.Predicting surface subsidence induced by mining based on unascertained clustering method[J].The Chinese Journal of Geological Hazard and Control,2008,19(2):95-99.
[9]董陇军,王飞跃.基于未确知测度的边坡地震稳定性综合评价[J].中国地质灾害与防治学报,2007,18(4):74-78.DONG Long-jun,WANG Fei-yue.Comprehensive evaluation on seismic stability of slopes based on unascertained measurement[J].The Chinese Journal of Geological Hazard and Control,2007,18(4):74-78.
[10]DONG Long-jun,PENG Gang-jian,FU Yu-hua,et al.Unascertained measurement classifying model of goaf collapse prediction[J].Journal of Coal Science&Engineering,2008,14(2):221-224.
[11]刘开第,庞彦军,孙光勇,等.城市环境质量的未确知测度评价[J].系统工程理论与实践,1999,19(12):52-58.LIU Kai-di,PANG Yan-jun,SUN Guang-yong,et a1.The unascertained measurement evaluation on a city's environmental quality[J].Systems Engineering Theory&Practice,1999,19(12):52-58.
[12]曹庆奎,刘开展,张博文.用熵计算客观型指标权重的方法[J].河北建筑科技学院学报,2000,17(3):40-42.CAO Qing-kui,LIU Kai-zhan,ZHANG Bo-wen.Calculation method of objective index weight by entropy[J].Journal of Hebei Institute of Architectural Science and Technology,2000,17(3):40-42.
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