基于LabVIEW的混凝土無損檢測系統(tǒng)研究.pdf

1、重慶大學(xué)碩士學(xué)位論文基于LabVIEW的混凝土無損檢測系統(tǒng)研究姓名：張儀申請學(xué)位級別：碩士專業(yè)：機械電子工程指導(dǎo)教師：尹愛軍20120528ABSTRACTConereteisoneofthemostimportantmaterialofthestructuralengineering，thesafetvofstructureisdirectlyrelatedtothequalityoftheconcreteHoweverinthepr

2、otessoftheconstructionoftheconcretestructure，duetotheconstructionqualitycontrolislax，designdefects，stmcnlralageingornaturaldisasters，concretestructureintheuseprocessinevitablyexistsuchascracks，holes，honeycomb，abrasionand

3、erosiondamage，endangerthesafetyofthewholes訊lcture，ithasbecomeaworldwideproblemwhichispaidattentionInthispapertheprincipleofconcretenondestructivetestingmethodsaresvstematicallydiscussed，analysisedandresearchedBasedonthis

4、，thevirtualinstrumenttechnologythedigitalsignalprocessingtechnologyandconcretenondestructivetestingtechnologyalecombinedtogetherthenondestructivetestingsvstemonconcreteisresearchedanddevelopedFieldapplicationshowthatthes

5、ystemisstable，accurateandfullymeetthestandardtestapplicationsTheNDTfieldbackgroundknowledgeisintroduced，includingthepresentfieldsituationoftheconcretenondestructivetestinginforeignanddomestic，andtheinsufficiencythevirtua

6、linstrumentapplicationinnon—destructivedetectionandimageprogrammingsoftwareLabVIEWisintroducedindetail；focusesonthenoIldestructivetestingofconcreteimpactechomethodprinciple，theinstallationofsensors，signalacquisitionandpr

7、ocessing，defectrecognitionintheconcretestructure；programmedtheechosignalacquisitionandconcretestIucturethicknessmeasurementtheconcretestructurequalityidentification，andthesystemtestplanisgivenDesignedandselectedthehardwa

8、rewhichrelatestothesystem，andanalysisedthecharacteristicsandmodelsofthesensorTestingsystemisreadytoobtaininformationonthebasisofwork，andidentifiedthepositionofthesensorUsingthesignalFFTanalysisfortheimpactechosignalproce

9、ssing，spectnunisextractedforthedefectrecognitionThemoduleisdesignedforthedatacollection，thedatamanagement，thethicknessofconcretetestandtheconcretestructurequalityjudgmentandafilemanagementKeywords：nondestructivedetection