欢迎来到天天文库
浏览记录
ID:36564342
大小:4.86 MB
页数:131页
时间:2019-05-12
《深部硬岩岩爆倾向性动态预测模型及其应用》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、中南大学博士学位论文深部硬岩岩爆倾向性动态预测模型及其应用姓名:郭立申请学位级别:博士专业:采矿工程指导教师:吴爱祥20040701各样本的岩爆烈度进行较精细划分;基于模糊信息优化理论研究了各影响因素与采场岩爆倾向性之间的模糊关系;提出了一种新的多因素交叉作用下各因素的权重确定方法。(7)应用所构造的模糊神经网络模型对深部采场实例的岩爆倾向性进行了预测和检验,预测结果表明该模型对于先验信息的知识挖掘,指导工程实践都具有积极的意义。(8)采用现场试验、室内试验和数值模拟相结合的方法,对冬瓜山深部采场岩爆主控因素一应力分布及其预控展开较为系统、深入地研究
2、,探明了深部原岩应力分布,特别是不同的采场开采工艺在静态、准静态和动态载荷作用下引起的围岩应力重新分御的规律性,优化了岩爆倾向下的采场开采方案。为冬瓜山高应力采场丌采岩爆有效预控提供重要决策参考。关键词深部开采,岩爆倾向性,动态预测,岩石工程系统,数据挖掘,预控IIABSTRACTThepredictionofrockburstspronenessisthebasisofpreventingandcontrollingrockburstsdisaster.Basedonpredictingresults,theback—devisingtorocke
3、ngineeringandthesecuritymeasurementscanbecarriedoutintime,whichhaveveryimportanttheoreticalandpracticalmeaningtohardrockminingindepthandundergroundrockengineeringconstructinginhighstress.Aimedatthedevelopingtrendsandexistingshortageofpredictingapproachofrockburstsproneness,mean
4、whilecombinedwiththeprojectofDongguashanrockburstspredictioninhigh-stressmining,thedynamicpredictingmodelsandpre—controllingapproachesofrockengineeringrockburstspronenessarestudiedinthisPh.Ddissertationbytheuseofrockengineeringsystemanddata—miningapproach.themainresearcheshaveb
5、eenstudiedasthefollowing:(1)Theconcepttodynamicallypredictrockburstspronenessisbuilt。Thentheapproachestopredicthardrockrockburstsatdepthbasedonpreviousinformationanddata-miningmethodarebroughtforwardanditsflowchartfromthejumping—offplaceappliedwithsystemanalyzingandsystemcontro
6、llingmethodstostudyproblems.(2)ThedynamicpredictingmodelutilizingRESapproachestopredictengineeringrockburstspronenessisconstrncted,inwhichengineeringgeologicfactors,engineeringenvironmentalfactorsthatshouldbeobjectiveoreasilymeasuredareinputtedintosystemasparameters.Then,intera
7、ctivematrixisbuilttoenumerateinfluencingfactorsonrockburstspronenesstostudytheirinteractivemechanism,whichCannotonlyrealizethedynamicpredictingtoengineeringrockburstsproneness,butalsoanalyzeeachfactor’srelativestrengthofeffect,besidesthisthemaininfluencingfactorsinducedrockbnrs
8、tCanbefoundout.(3)Theapproachestodynamicallypredictroc
此文档下载收益归作者所有