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时间:2020-03-25
《晋西隰县-离石地区黄土高边坡可靠度研究.pdf》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、JournalofEngineeringGeology工程地质学报1004—9665/2014/22(3)一0372-07DOI:10.13544/j.cnki.jeg.2014.03.004晋西隰县一离石地区黄土高边坡可靠度研究木郑亚楠侯晓坤李萍李同录(长安大学地质工程与测绘学院西安710054)摘要实测了研究区8个自然极限状态坡建立地质模型。从地质勘探报告中收集了592组土样的土工试验数据,分地层年代统计了其物理力学指标。选取临县一离石公路沿线9个工点的实验数据,统计了该区c、妒值的变异系数,并对其变异性进行了分析。将c、值变异系数进行组合,进行了Mo
2、nte—Carlo模拟。模拟结果显示,所测8个极限状态坡稳定系数为0.96—1.14,不同变异系数组合下,失效概率多为33.0%~61.8%。进一步对坡高为50.5m和81.8m的自然极限状态坡进行分析,分析结果显示:对于坡高为50.5m的边坡,在变异系数取当地平均水平(COVc=0.66,COV~p=0.28)时,若设计要求失效概率不超过10%,则坡率不应高于1:1.81;对于坡高为81.8m的边坡,在该变异系数组合下,若设计要求失效概率不超过10%,则坡率不应高于1:1.94。·关键词黄土边坡可靠度失效概率Monte-Carlo法极限状态坡中图分类号:
3、P642.131,TD824.7文献标识码:ARELIABILITYSTUDYoFLoESSHIGHSLoPESTABILITYINXIXIAN.LISHIAREAoFWESTERNSHANXIPRoVINCEZHENGYananHOUXiaokunLIPingLITonglu(DepartmentofGeologyEngineeringandGeomatics,ChanganUniversity,an710054)AbstractEightnaturallimit-stateloesshighslopesaremeasuredinXixian—Lishi
4、areaofShanxiprovince.Thenthegeologicmodelsarebuih.Meanwhile,soiltestdataof592groupssoilsamplesfrominvestigationreportsoftheengineeringgeologyarecollected,countingthephysicalandmechanicalparametersofloessinstudyareaaccordingtochronologicage.Soiltestdataof9sitesalongLinxian—Lishiroa
5、dareselected.TheparametersC,arestatisticallyanalyzedforthevariabilityofloesssimuhaneously.ThecoefficientofvariationforthevalueofstrengthparametersC,arecombined,carryingoutthesimulationofreliabilitybyMonte—Carlomethod.Theresultsshowthatthestabilitycoefficientsoftheseslopesarebetwee
6、n0.96and1.14.Theprobabilityoffailurearebetween33.O%and61.8%.Thenaturalanalogymethodisusedtoanalyzetwonaturallimit—stateloesshighslopeswiththeheightsof50.5mand80.8m,respectively.Theanalysisshowsthatfortheslopeof50.5mhighifthedesignrequirestheprobabilityoffailurenomorethan10%,theslo
7、peratioshouldnotbemorethan1:1.81undertheaveragecombinationofvariationcoeficient(COVc=0.66,COV=0.28).Fortheslopeof81.8mheightifthedesignrequirestheprobabilityoffailurenomorethan10%,thesloperatioshouldnotbemorethan1:1.94underthesamecombinationofvariationcoe伍cient.KeywordsLoessslope,
8、Reliability,Failureprobability,Mo
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