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ID:35133481
大小:2.00 MB
页数:74页
时间:2019-03-19
《基于表面波信号的频率一波数谱(f-k)法分析》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、浙江大学硕士学位论文表面波信号的频率一波数谱(F-K)法分析姓名:李文涛申请学位级别:硕士专业:岩土工程指导教师:吴世明;夏唐代2000.2.1摘要浙江大学硕士学位论文步也的《972。在岩±工程勘测中,由于剪切波(S波)速度与土滕的:f=程佼状参数间有密切的关系,通过测试剪切波波速,可戬得到地基±参数。在现场i赘《试中,表瑟滚频谱分析法(SpectralAnalysisofSurfaceWave,簏称SASW法)测试以瑞利波或乐夫波体为测试对象,测试技术简单易行,试验信号受环境干扰等嘲素的影响较小,~般情况下能满足
2、波速原位测试要求;因此,采渭SASW法樽到瑞利波弥散曲线,进一步爱演主参数,具有极大的工程意义。本文在藏人研究成果的基础上,对SASW法中育源法阄无源法的应用进行对比分析,认为在有源法分析中。由于表面波传播方向酷知,采用有源法中通过相位角-频率曲线即妒一,曲线的分析得到瑞利波的弥散龉线的方法旷较为合适;而在地脉动信号的测试中,由于表面波传播方向未知,采用无源法分析中的频率.波数谱分析方法(F-K法)分析较为台遗。阉黠,本文报摄F-K法频谱分析理论,缨会编制的应用程序及现有试验仪器设备条{牛,进行了多组现场测试。通过
3、现场试验及对测试数据的程弹分析,对上述理论进行验证。另外,本文结合F-K法,对透过始脉动信号的采集分析来爱演深屡±参数进行了视步磷究。垒!!!!!壁塑鋈奎堂堡主堂垡堡壅AbstractIngeotechnicalengineeringexploration,WEcanderivefoundationsoilparameterfrOmtestingshearwavevelocitybecauseofthecloserelationshipbetweenshearwavevelocityandtheengineerin
4、gnatureparameterofsoil.RegardingReyleighwaveandLovewaveasmainresearchobjectintheSpectralAnalysisofSurfaceWave,wecanfinditiseasytotestonthespotandtestingsignalislessaffectedbyenvironmentalinterferenceetc.Itissuitableforthespottestrequirementofwavevelocityoncomm
5、oncircumstances,therefore.ithasgreatsignificationtocounterdemonstratethesoilparameterusingreyleighdispersionwavegainedthroughSASWinengineering.ThroughcontrastiveanalysisofapplicationbetweenActive—MethodsandPassive-Methodsonthebasisoftheprecedingresearchaccompl
6、ishments,webelievethatitissuitabletousethedispersioncurveofRwaveobtainingfrOmtheanalysisofphaseangle—frequencywave(妒。一,wave),becausethedispersiondirectionofsurfacewavecanbegotinActive-MethodsanalysisAndwealsobelievethatitissuitabletouseF—KmethodinanalysisofPas
7、sive-Methods.becausethedispersiondirectionofsurfacewaveisunknownintestingmicro—tremorssignal.Atthesametime,aserialofspottestconclusionshavebeenwritteninthispaperaccordingtoF—Kmethod,applicationprogrammedandexistingtestinstrumentcondition.Wealsoprovedthistheory
8、throughspottestandprogrammeanalysisoftestdata.Furthermore.wemadeprecedingresearchoncounterdemonstratingparameterofdeepsoilthroughcollectingandanalyzingmicro—tremorssignalwithF-Kmet
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