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1、武漢理工大學(xué)碩士學(xué)位論文基于靜力響應(yīng)的橋梁結(jié)構(gòu)損傷識別研究姓名：張家弟申請學(xué)位級別：碩士專業(yè)：結(jié)構(gòu)工程指導(dǎo)教師：黃斌20060401武漢理工大學(xué)碩士學(xué)位論文AbstractBridgesatethehingesoftrafficsystem，playingallimportantroleinthenationaleconomicandsociety．Alongwiththeextensionofthebridgeservicelife，internationalcommunityincreasingly
2、paysattentiontothesafetyoftheexitingbridge．Nowthedamageidentificationofbridgesisbecomingtherealmwhichneedtoenhanceurgently,whichisalsoanurgentandimportanttask．Damageidentificationofbridgestructuresisaquestionwhichourbridgeengineeringurgentlyawaitstobesol
3、ved．bthispaper,amethodofdamageidentificationofbridgestructuresbasedonstaticresponseispresented．Accordingtotheruleofdamageidentificationofbridgestructures．wedoaresearchandgetaniceresultonthehealthyanddegreeofdamageofbridgestmcturesandtheeffectofmodalmista
4、kescaUSebysomereasons，Themainachievementsatebrieflymentionedasfollows：1．Hasdonesomerescar-chonthesimpleinductionandthesummarytodamageidentificationmethodsofdomesticandforeignbridgesstnlcture，andhasappraisedeachkindofbridgedamageidentificationmethodsadvan
5、tages，obtainsthatcarryingonthedamageidentificationtobridgesU'ucturesusingthemethodofstaticresponseisthecurrenturgentmatter．2．DetaUintroducethebasicprinciplecarryingoildamageidentificationtothebridgest[ncturesbasedonthestaticrespofise，andobtainedtheqmteid
6、ealidentificationeffectthroughthevaluecomputation．3．Consideringitisdifficulttogettheangulardisplacement，alsotheprecisionisnotenough，whileusingthemethodinthedamageidentificationprocesshascarriedonshrinksstepprocessingfromthestructureinitialmodelrigidityma
7、trix．Andnowonlyneedstogetthedeflectionvalueofeachpitchpointthenitispossibletocalculatetheidentificationresult，obtainedamoreidealresultthrou曲thevaluecomputation．4．Basedouthedamageidentificationtheoryonthestaticresponsetothebridgestructures，analyzetheinflu
8、encetotheidentificationresultcausedbymodelerrorandU武漢理工大學(xué)碩士學(xué)位論文thesurveynoiseaffect，thevaluecalculateexampleconfirmedthismethodcallgettheeffcctiveidentificationresultaftheconsiderationofmodelcTrorandinthesurveynoisesituati
