寧夏防腐雙摻混凝土無損檢測與神經(jīng)網(wǎng)絡預測研究

1、東北大學碩士學位論文寧夏防腐雙摻混凝土無損檢測與神經(jīng)網(wǎng)絡預測研究姓名：白如云申請學位級別：碩士專業(yè)：結(jié)構(gòu)工程指導教師：劉斌20061201東北大學碩士學位論文AbslractThenOndestructiveexaminationandneuralnetworkforecastofflyashconcreteinNingxiaAbstractConcretedurabilityisaverycomplexissue，includingi

2、mpermeability，freezingresistance，reinforcementcorrosion，chemicalerosion、alkaliaggregatereactionandsoonItcontainsmuchhalogenwhichisadversetodurabilityofconcreteinnaturalwaterinNingxiahighhalogenareaTherefore，itisextremely

3、necessarytoresearchthedurabilityofconcretethereAswellknow，flyashcouldgreatlyimprovethedurabilityofconcrete，therelationoftheflyashcontentanddurabilityisn’taverdictThispaperdidalotofresearchontheconcretemixedwitllflyashand

4、waterreducingadmixture，includingerode，permeability，carbonationcrackresistanceandfreezethawThispaperemphasizesonthenondestructiveexaminationandnⅢalnetworkforecastofflyashconcreteThepapercollectedlotsofdatafrombothexperime

5、ntinlaboratoryandonsituexperimentinNingxiaConsideredwithcompensationfactor，thenondestructivetestingofcorrosionresistantflyashconcreteisresearched，theexperhnentalresultscouldbereferencesofnondestructivetestingofflyashconc

6、reteThepapererectedcBrveforaltrasomc、reboundvalueandintensityinthewayoftheleastsquaresmethodcombinedtlloptimizationbasedonlaboratorydatathenaftertheamendmentofcurvewitlltheonsitudatainNingxiathestrengthofsamplesinNingxia

7、wereestimatedandtheresultswereanalyzedBesides，thepaperestimatedthestrengthofthesamplesinNingxiaandanalyzedtheresultsinthewayofneuralnetworkmethodWhentheeffectofthecarbonationcouldn’tbeignored，thestrengthsofthesamplesinla

8、boratorywereestimatedinthewayofneuralnetworkmethod，andtheresultswerealsoanalyzedAtlastthetraditionalultrasoundreboundandneuralnetworkswerecomparedKeywords：concretedurability；flyashconcrete；ultrasonic—reboundsyntheticmeth