高速公路粉噴樁復(fù)合地基沉降分析與預(yù)測(cè)方法研究.pdf

1、南京工業(yè)大學(xué)碩士學(xué)位論文高速公路粉噴樁復(fù)合地基沉降分析與預(yù)測(cè)方法研究姓名：祝鴻申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：巖土工程指導(dǎo)教師：陳國(guó)興陳甦20040101南京工業(yè)大學(xué)碩士學(xué)位論文ABSTRACTAsasoilimprovementtechnology，DryJetMixingpile(DJMP)hasmanymeritsWiththerapiddevelopmentofagreatnumberoffoundationengineering，it

2、getsmuchwiderapplicationHoweverapplicationanddevelopmentofthistechnologyisgreatconfinedasacademicresearchstilllagsbehindpracticeThisarticleanalyzesthedeformationcharacterandloadtransferlawoftheDJMcompositegroundanddiscus

3、sthefactorswhichaffectthesettlementofcompositegroundthroughfieldtestandFEMAtthesametime，thisarticleprovidesasimplifiedformulacomputingsettlementandappliesthe掣aytheorytopredictsettlementofcompositegroundThemaincontentsare

4、asfollows：1Basedonthefieldloadingtest，thisarticleanalyzesthecarryingcapacity，stressdistributionandthestressratioofpile—soilofDJMcompositegroundAccordinglythereinforcedeffectofDMJischeckedup2ApplyingABAQUS，finiteelementme

5、thod(FEM)isusedtOanalyzethebehaviorofcompositeground，suchasthedistributionofthestressanddeformationinreinforcedregionsandsubstratumThelawofloadtransferbetweenpileandsoilisfurtherrevealedthroughthenumericalanalysisAtthesa

6、metime，thefactors，suchasthestiffnessandlengthofpileandreplacementratioincompositegroundarediscussedandSOthebestmodulusofpile，thebestlengthofpileandthebestreplacementareascertained3Basedontheexistingliteratureandtestingda

7、tathesidefrictiondistributionwasassumedtriangleandamethodtosettlementofcompositegroundhasbeenputforwardThekeypointisthattheadditionalstressfieldshouldbeobtainedbyapplyingbothGeddessolutionandBoussinesqsolutionBycalculati

8、ngtherealproject，itisprovedthatthemethodhasgoodprecisionandcanbewidelyusedinfoundationengineering4SettlementofcompositegroundispredictedbyusinggraytheoryTheunequaltime—intervalpredictionmodelofrecentinformationofidentica

9、ldimensionforgroundsettlementisestablishedinOM(1，1)，andthebufferedsofteningarithmeticisusedtoeliminatetheinfiniteincreaseofthegraypredictionmodelThroughthecomparewecandrawaconclusionthatthegrayprediction’Sprecisionisbett