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1、基于PSO-SVM算法联合数值模拟的红岭铅锌矿地表移动带圈定彭定潇，李夕兵（中南大学资源与安全工程学院，湖南长沙410083）摘要：为了更加准确圈定红岭铅锌矿地表移动带，依据PSO-SVM算法与数值模拟联合确定红岭铅锌矿各矿体移动角。统计国内外30个崩落法矿山的地质特征数据，选取矿体上下盘围岩性质、上下盘围岩稳固程度、矿体倾角、矿体厚度以及开采深度共五种因素作为模型的输入参数，矿体上下盘移动角作为输出参数，基于PSO优化算法建立崩落法矿山移动角预测模型。采用前处理软件HyperMesh对矿区进行高精度建模，并导入
2、有限差分法软件FLAC3D之中，利用数值模拟分析了地表移动变形。结果表明：利用PSO-SVM算法与数值模拟得出的移动角基本吻合，相互验证。最终确定红岭铅锌矿1、1-1、2号矿体的上下盘移动角，由此得出红岭铅锌矿地表移动带范围。为圈定金属矿山地表移动带提供了一种可靠的方法。关键词：地下金属矿山；地表移动带；支持向量机；数值模拟中图分类号：TD325文献标志码：ADelineationofSurfaceDisplacementBeltforHonglingLead-ZincMineBasedonPSO-SVMAlgo
3、rithmCombinewithNumericalSimulationPENGDing-xiao,LIXi-bing(SchoolofResourcesandSafetyEngineering，CentralSouthUniversity，Changsha，Hunan410083，China)Abstract:InordertoobtainmoreaccuratedelineationofsurfacedisplacementbeltforHonglinglead-zincmine,themotionangles
4、werecalculatedbythePSO-SVMalgorithmcombinewiththeresultsofnumericalsimulation.Wecollectedtheminingsurfacemovementdataof30cavingmineinchinaandabroad,andselectedatotaloffivefactorsastheinputvariablewhichwasPu’scoefficientofthehangingwallandfootwalloforebody,sta
5、bilityofsurroundingrock,depositangle,miningthickness,miningdepth,andthemotionangelofterranewerebeselectedastheoutputvariabletobuildtheSVMmodelforthepredictionofthemotionangelincavingminebasedontheparticleswarmoptimizationmethod.The3Dgeologicalmodelwasestablis
6、hedaccuratelybythepre-processingsoftwareHyperMesh,andthenthemodelwasimportedtoacommercialcode(FLAC3D),surfacemovementanddeformationwerenumericallyanalyzed.TheresultsshowsthatthemotionanglesobtainedbyPSO-SVMalgorithmbasicallyfittotheresultsofnumericalsimulatio
7、n,inotherwords,thesetwomethodscanverifyeachother.Finally,wedeterminedthedefinitivemotionanglesofHonglinglead-zincmine(1#,1-1#,2#)whichsubsequentlyareusedtodelineatethesurfacedisplacementbelt.Inconclusion,thispaperprovidesanewapproachtodelineationofsurfacedisp
8、lacementbeltinundergroundmetalmines.Keyword:Undergroundmetalmine;Surfacedisplacementbelt;Supportvectormachine;Numericalsimulation引言矿山开采引起的岩层和地表变形不仅对环境造成巨大的生态破坏，并且严重威胁到地表人员及建筑物的安全，造成了难以估计的
