基于遗传神经网络的路面使用性能评价及预测

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1、武汉理工大学硕士学位论文基于遗传神经网络的路面使用性能评价及预测姓名：李孝兵申请学位级别：硕士专业：桥梁与隧道工程指导教师：连岳泉20060401武汉理工大学硕士学位论文AbstractHighwaytransportationisanationallypublicfoundationfacilitywhichprovidesserviceforoursociety,andrepresentsthemodemizationlevelofthewholesocialdevelopmentandtherealnationaleconomystrength．Alo

2、ngwiththesocialeconomicdevelopment，astheincreaseofvolumetrafficandheavyload，highwayhaswidelyappeareddamagedphenomenon．Therefore，inordertoprolongitsservicelife，weshouldtakesomemeasuressuchasmaintainandimproveitsqualitybasedontechniquetoimproveitsgrade．Thepavementperformanceisdefined

3、asallabilitytoguaranteeallvehiclestotransportnormallyandsafely．Thedrivingcomfortandvehicles’engineperformanceareaffecteddirectlybyitscapabiHty,andtheroadtransportationqualityisalsodeterminedbyitsquality．Atthesametime，wecouldfindouttheinsideshortageexistedinthemanagementoftheroadeng

4、ineering，italsobenefitstotakeintoimprovementorcontrolinengineeringconstructandperfectthetheoryofroadconstructionininitialorusingstage．Thistextintroducedvariousbreaksanddamagesthatmayappearinhighwayandthenanalyzedtheresultsofthediseases，studiedtheindexofthepavementanddiscussedthemea

5、surementofvariousindexanditsratingstandard．Basedonthecomplementationofadvantagesofneuralnetworkandgeneticalgorithm，weestablishedtheGANN(geneticalgorithmandneuralnetwork)modelandthenusedthemodeltoevaluateandforecastthepavementperformanceoftheroad．Throu曲thestatehighwayroad，provincial

6、highwayandthecountyroad(excludingtownshiproadanddedicatedroad)inShanghai，weanalyzedthefactorsthatimpactthepavementperformanceoftheroadandchosetheappropriateindicatorstoestablishageneticneuralnetworkmodels．Accordingtotherelationshipofthepavementconditionindex口cD，roadqualityindexOlQI

7、)，surfacestrengthindex(ssl)，sideway—forcecoefficient(SFC)andthepavementqualityindex(PQI)from2002to2004，weusedthismodeltoevaluatethepavementperformanceoftheroadin2005，thetestresultsandtheactualresultsareveryconsistent．ThismodelshowsverygOodsimulationbetweenthefourindicatorsandthequa

8、lityofroad；武汉理工大学硕士学位论文lll