基于遗传优化神经网络算法的桥梁结构参数识别技术研究

《基于遗传优化神经网络算法的桥梁结构参数识别技术研究》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、郑硕士州大学位授予单位代码!Q笪2学号或申请号Q3331Q18密级——’学论文论文题目：基王遣佳值丝抽经圆络篡洼的叠鎏结捡叁数迟别撞苤盟究作者姓名：崔塞印学科门类：王堂专业名称：蚩±王捏导师姓名、职称：压金塑煎攫二零零六年五月二十日ABSTRACTBridgehaSalreadybeentheimportaIlcepartoftrafficfollndationengi王leeringinOurcountryII{owever'duetotheinfluenceOfmanyfactors，therc

2、infbrcedconcretebridgestructureshavealwayssu虢fcdsomesIrIlcturediseaseaIldd咖age，whichareimportaIltincjpientfaultintfaffictranspontation．StudyingdiseaSeexaminationaⅡddefaceevaluating￡echnologyOfbddgestmctureisoffarreachingimportanceiⅡfiIldingbrjdgestruct

3、urepotendaldefccttimely’scienlificallyevaluatiIlgtoimpairedstmctuferemn觚t10ngevity，guafanteckidgestnlctuIe∞cufeityandsoon．Therefore，theseresearchworksbecomethecurren“ntemationaIhotspotatbridgeen百necringdomaill．Currcntly，themethodsofbridgcstmctureabilit

4、yexamjnationaIIdstmcIureevaluatingaremailllybasedonapparcntdiseaseexaminat主onandstaticordyn锄iclOadtesI．IIlIhispaper，based0nthepreviousstudyresults，combiningneuralnet、vorkandgenelicalgorithmthesegmentflexuralfi酉dityidenti6cationofrcinforcedconcretebeami

5、sstudiedbyusinglheresultofstaticloadtest．Tltlemainfcsearchfindingsareasfollows：1．Based0nthemethodofbridgestnlctureabilityexaminationandstructufedamageevaluation，thebasictheoryofgcneticoptimizationneumInctworkSalgoriIhmsispartictllarlyexpatiated．Genetic

6、optinlizationneuralneMorksalgorittllllisdiscussediIlbridgestnlctufeparameteridentification．2．ThemechaIlicsmodelofwholeprocessofreinforcedconcretebeamsectionflexuralrigidityisf10unded，basedonthetheorelicalanalysisthecorrespondingnumericalcalculatjonpro掣

7、amisdeVeloped．3．hIthispapeLIhemixedoptimizationa190rithmwhichcombineneuralnetworksandgeneticalgorithmsisputforward．T1leresultsshowthatmegeneticalgorilhmh硒capabjljlyjnfastleamingofnet、)lro止wejgJlt，卸dmemjxed0ptilnizacionalgorithmh勰capabilitiesinextensive

8、mappingofnelIralnetwoIksandrapid百obalconvefgenceofgeneticalgorithIn．Onthisconditiontherealjzationpr0伊am0fgeneticoptimizaIionneufalnetworksisworkedout，andthenumericalexamplesareaIlalyzed．WhetherfromtheaspectofjnIuitjverationalfcquircment