1Introduction TheWürzburgResidenceisalargeGermanBaroqueconstructionbuiltduringthefirsthalfofthe18thCentury,seeFig.1.ItwasdeclaredaWorldHeritageSitebyUNESCOin1981.Thechapelisintegrated into the main building and is located on its south-west corner. This chapel is a very singular construction, mainly due to the configuration of its vaults, with a complex spatial geometry, which includes warped intersectionsbetweenthem,andduetothehighleveloftechnologyrequiredfromaconstructionpointofview.Inthissense,itisoneofthefewexamplesthatcanbefoundinEuropewiththislevelofcomplexity[1]. Structuralsafetyassessmentofgeometricallycomplexmasonryvaultsbynon–-linearanalysis.TheChapeloftheWürzburgResidence(Germany) VíctorCompána
[email protected] PabloPachóna,⁎ ppacho[email protected] MargaritaCámaraa mcama[email protected]s PauloB.Lourençob
[email protected] AndrésSáezc
[email protected] aDep.ofBuildingStructuresandSoilEngineering,UniversityofSeville,Spain bISISE,DepartmentofCivilEngineering,UniversityofMinho,Portugal cDep.ofContinuumMechanicsandStructuralAnalysis,UniversityofSeville,Spain ⁎Correspondingauthor. Abstract ThispaperaddressesthestructuralsafetyassessmentoftheChapeloftheWürzburgResidence(Germany),oneofthemostimportantchurchesoftheCentralEuropeanBaroque.Itwasdeclaredas WorldHeritageSitebyUNESCOin1981,oneofitsmostuniqueanddistinctivecharacteristicsisthegeometryofitscomplexvaults.Intersectionsbetweenvaultsarewarpedandvaultssurfaceswerebuilt usingonlyonelayerofbrickmasonry.Inthiswork,anonlinearfiniteelements(FE)modelhasbeendevelopedandusedtoassessthestructuralsafetyofthebuilding.Inordertoupdatethemodelby identifyingthedynamicresponseofthebuilding,experimentalambientvibrationtestshavebeenpreviouslysubsequentlycarriedout.OperationalmModalaAnalysis(OMA)hasbeenusedtoexperimentally identify both modal displacements and natural frequencies. The numerical FE model is them adjusted using genetic algorithms until its dynamic response resembles that experimentally observed, thus providingavalidmodeltofurtheranalysethestructuralbehaviourofthebuilding.AfterbrieflydescriptingtheChapel,themethodologyfollowedtoupdatethenumericalmodelandtheobtainedresultsfrom anon-linearanalysisonthisover-complexvaultedstructurearethemaingoalsofthepaper. Keywords:Masonryvaults;Ambientvibrationtest;Historicalbuilding;ChapeloftheWürzburgResidence;OperationalModalAnalysis;FEmodelupdating;Non-linearanalysis;Geneticalgorithms
Oneofthemaindifficultiesthatneedtobeaddressedinstructuralanalysisofhistoricalbuildingsisthelevelofuncertaintyassociatedwithmanyfactorsaffectingthebehaviourofthestructure.Aspectslike themechanicalpropertiesofthestructuralmaterials,thebuildingconstructionprocess,theconnectionsbetweenstructuralpartsorthecrackingconditionofthebuildingmaycauseimportantchangesbetweenthe resultsobtainedfromanumericalanalysisandthoseexperimentallyobserved[2].Inthissense,non-destructivetechniquesappearasusefultoolstoprovideinformationaboutthestructuralbehaviourofthebuilding [3,4].Inparticular,dynamicpropertiesprovidedbyambientvibrationtechniqueshaveprovedtobequitewell-suitedtovalidateandupdatenumericalmodels[5]. OperationalModalAnalysis(OMA)hasconsolidatedasoneofthemostadequatemethodstoestimatethemodalparametersofastructure,duetothefactsthat:(i)itisanon-destructiveandnon-invasive techniqueand(ii)itcanbeperformedunderserviceconditions.Forthesereasons,OMAiscurrentlyrecognisedasaquiteconvenienttechniquetodynamicallycharacterisehistoricalbuildings,sincetheuseofthe strongerexternalexcitation(impacthammersorshakers)requiredtoperformthetraditionalExperimentalModalAnalysis(EMA)isnotneeded.TheinterestedreaderisreferredtoReferenceRef.[6] for a more involveddiscussiononthepracticalandtechnicaldifferencesbetweenOMA and EMAwhen appliedfor testingofmasonryvaults. Subsequently, modalpropertiesprovidedbytheapplicationofOMA allowsthe adjustmentofnumericalmodelsinordertoobtainanaccurateestimationoftheactualbehaviourofthestructure.Inthissense,updatedFEmodelscanbeusedtocarryoutastructuralanalysisunderexisting conditionsorfurtherpredicttheeffectsofdifferentstructuralsituationsthatthestructurecouldundergo.Inthelastdecades,manycasesofapplicationofambientvibrationteststoupdatenumericalmodelscanbe foundinhistoricalbuildings[7–12].However,theapplicationsofOMAtoassessstructuralbehaviourofspecificcomplexpartsofabuilding,suchasdomesorvaults,aremuchmorelimited[6,13,14]. Themainpurposeofthisstudyistoevaluatethecurrentstructuralstateofthevaultsofthechapelinordertogainfurtherknowledgeoversuchcomplexstructureandestimateitscurrentsafetylevel.Abrief descriptionofthechapel,themethodologyfollowedtodynamicallycharacterisethebuilding,theupdatingprocessandtheresultsobtainedfromanonlinearanalysiswillbepresentedinthispaper.Thepaperis organised as follows: Section 2 summarizes the main characteristics of the chapel together with a historical overview and a brief description of its architectural configuration. Section 3 presents the dynamic characterisationofthevaultsofthechapelbyusingtheOperationalModalAnalysismethod.Itfurtherdescribestheinitialfiniteelementmodeldevelopedtoestimatethemodalparametersofthesystem.Section4is devotedtodiscusstheupdatingofthefiniteelementmodelbasedontheexperimentallyobtainedmodalparameters.InSection5,the updatedfiniteelementmodelisthenusedtofurtheranalysethenonlinear behaviourofthevaultswhensubjectedtoverticalloadsuntilreachingcollapse.Finally,Section6drawsthemainconclusionsofthisstudy. 2ChapeloftheWürzburgResidence 2.1HistoricalAspects TheconstructionoftheWürzburgResidence[15]datesfromtheearlyeighteenthcenturywhentheSchönbornfamilydecidedtobuildapalacetorelocatetheEpiscopate.BalthasarNeumann[16,17]wasthemainworkmaster foroverthirtyyears.TheChapelexhibitsanimpressiveBaroquedecoration,seeFig.2. Fig.1FrontoftheWürzburgResidence(Germany).
Duringthebuildingdesignprocess,thechapelwasplacedatdifferentlocationswithinthewholecomplex,untilBalthasarNeumann,finally,locateditatthesouth-westcorneroftheResidence(Fig.3).JohannDientzenhofer wasinvolvedinthedesignofthechapel[18].HewasaGermanarchitectwithawideexperienceonthedesignandconstructionofgeometricallycomplexbrickmasonryvaults. 2.2Architecturalconfigurationandconstruction Thearchitecturalconfigurationofthechapelpresentsaspatialviewwithaclearlongitudinalcharacter,composedbythreemainspatialcellsconnectedbytwoothercells,asillustratesFig.4.Thewallsareparticularlyslender (15.2mhighwithavariablethickness,between1.20and2.00m)andwithahighpercentageofvoids,greaterthan50%ofthefaçadesurface. Therearetwomainreasonswhythechapelvaultsareuniqueintheircomplexity.Afirstfeature,fromageometricalpointofview,isthattheceilingismadebyfivein-planovalvaultswithwarpedintersectionsamongthem (Fig.4).Eachoneoftheseintersectionswasgeometricallydeterminedbytheintersectionbetweentwocylinderswithorthogonalaxisanddifferentdiameters.Thesecylindricalshapewasessentialintheconstructionprocess,because intersectionsweredefinedfirstasedgesofthevaultsboundaries,andthenthesurfaceofthevaultswasbuiltaccordingtotheintersections.Asecondfeatureisthattheconstructiontechniqueusedwasquiterefined.Vaultssurfaces aremadeofonlyonelayerofbrickmasonry(30cmthick),withneitherribsnoranysortoflocalreinforcementatwarpedintersections[15].Forconstructivereasons,vaultsonlyincrease15cmtheirthicknessattheirbaseandat smallradialribslocatedonselectedlocationsofthethreemainvaults(Fig.4andFig.5). Fig.2ChapeloftheWürzburgResidence.Altarviews. Fig.3WürzburgResidence.LocationofthechapelattheSWcorner. Fig.4StudyofthetraceoftheChapeloftheWürzburgResidence.
3AmbientvibrationtestsandOperationalModalAnalysismethod ThedynamiccharacterizationoftheChapeloftheWürzburgResidencehasbeenperformedbymeansofambientvibrationtests.Thesetestswerecarriedoutbetween14and17ofJuly2014,withtheaimof identifyingthenaturalfrequencies,modeshapesanddampingratiosofthevaults. 3.1Initialfiniteelementmodel The application of the Operational Modal Analysis usually requires the creation of an initial model (Fig. 6) in order to estimate the natural frequencies and mode shapes and thus determine adequate positions of the accelerometers. ThisinitialFEmodelwasbuiltusingAbaqus/CAE6.13Software[19].Themodelconsistsmainlyoftwocomponents,namelywallsandvaults,modelledusingsolidelements.Thefinalmodelcomprises1,606,908 elements,329,472nodesand988,416degreesoffreedom.Materialpropertieswereinitiallyestimatedfrombibliography[17,20].Forbrickmasonryofthevaults,theadoptedpropertieswere:density,1980kg/m3;Young’sModulus, 1100MPa;Poisson’sratio,0.2.Similarly,thefollowingvalueswereconsideredforthestonemasonry:density,2100kg/m3;Young’sModulus,2200MPa;Poisson’sratio,0.2.Furthermore,theweightoftheroofoverthevaultswastaken intoaccountintheFEmodel,aswellastheconnectionsbetweenthechapelandtherestoftheResidenceBuilding,bymeansofspringelements[7,8]. Fig.5ChapeloftheWürzburgResidence.Vaultsextrados. Fig.6InitialFEmodel.
Basedonthelargestmodaldisplacementsobtainedfromthisinitialmodel,theappropriatepositionforthereferenceaccelerometersisset.Fig.7illustratesthefirstthreevibrationmodestogetherwiththeircorresponding naturalfrequencies. 3.2Ambientvibrationtests FollowingtheresultsobtainedfromtheinitialFEmodel,Fig.8showsaschematicrepresentationofthesensorsarrangement.Theset-upconsistsofatotalof51measuringpoints,whichisaratherdensemesh.Itisalsonoted that,duetotheboundaryconditionsimposedbyitsintegrationintoalargecomplex,thestructureisnotsymmetrical.Allofthemeasuringpointsweresetinthethreeprincipaldirections,inordertocapturetheglobalvibrationmodes inthelongitudinal,lateralandverticaldirectionofthevaults.Sinceonlyeightaccelerometerswereavailableforthetestingprocessandtwoofthem(placedatpoints17–19,Fig.8)werekeptfixedforreference,aseriesoftwenty-five set-upswerenecessarytocoverallmeasuringpoints.Ineachoneoftheseset-ups,accelerationswererecordedwithasamplingrateof100Hzandasamplingtimeof12min.Theseassumptionsensurethatnaturalfrequenciesinthe rangefrom1to50Hzcouldbeproperlyrecorded.However,inordertoperformamoreaccurateanalysisandtotakeintoconsiderationthattheexpectednaturalfrequenciesarebelow10Hz,adecimationfactorof5waspreviously applied. Fig.7InitialFEmodel.Modaldisplacementsofthefirstthreevibrationmodes(f1=2.59,f2=3.04andf3=4.15Hz).
Excitationsduringambientvibrationtestswereassociatedwithenvironmentalloads.Theequipmentusedforthesetestswascomposedbyeightuniaxialforcebalanceaccelerometerswithabandwidthrangingfrom0.01to 200Hz,adynamicrangeof140dB,asensitivityof10V/gand0.35kgofweight(modelES-U2).Theseaccelerometerswereconnectedviaeight40mlongcablestoatwelve-channeldataacquisitionsystemwitha24-bitADC,provided with anti -aliasfilters(modelGRANITE).TheequipmentismanufacturedbythecompanyKINEMETRICS(Fig.9). 3.3OperationalModalAnalysis Insituobtaineddatawereprocessedusingtwodifferentidentificationmethods:oneoftheminfrequencydomain,theEnhancedFrequencyDomainDecomposition(EFDD)technique[21];andtheotherinthetimedomain,the StochasticSubspaceIdentification(SSI)method[22].BothmethodsareimplementedinthesoftwareArtemis[23](Fig.10). Fig.8Accelerometerlocationsanddirections(planviewofthechapel).Ref.accelerometersinred. Fig.9Measurementequipment.
Fig.10showsthatalmostallidentifiedmodalfrequencies–usingtheSSItechnique–exhibitslightchangesbetweenthedifferenttestset-ups.Thisfactmaybeexplainedprovidedthatthemeasurementswereperformed duringthreeconsecutivesummerdays,withsimilarbutnotequalenvironmentalconditions.Severalresearchstudieshaverecentlyprovedthatdifferenttemperatureorhumidityconditionscanslightlymodifythedynamicproperties ofamasonrystructure[23–26].Bearinginmindthisconsideration,themodalfrequencies,dampingratiosandmodeshapesweredeterminedbyapplyingbothmethods–EFDDandSSI–andwerelatercorrelatedusingtheModal AssuranceCriterion(MAC)[27]betweenbothsetsofresults,inordertoassesstheaccuracyoftheobtainedmodeshapes: where and arethetwomodestobecomparedand T denotesthetranspose. Dataprocessingresults,includingthestandarddeviationofmodalfrequenciesanddampingratios,arepresentedinTable1. Table1ResultsOMA:naturalfrequencies(f),dampingratios(ξ)andstandarddeviation(Std). SSI EFDD MAC f(Hz) Std.f ξ(%) Std.ξf(Hz) Std.f ξ(%) Std.ξ Mode1 2.77 0.01 1.12 0.40 2.77(0,0%) 0.01 0.89(26%) 0.28 0.99 Mode2 3.28 0.05 1.50 0.68 3.30(0,6%) 0.37 0.92(63%) 1.24 0.87 Mode3 4.52 0.05 2.36 0.66 4.46(1,4%) 0.20 1.79(32%) 0.91 0.88 Mode4 5.26 0.03 1.24 0.48 5.25(0,2%) 0.02 0.88(61%) 0.28 0.90 Mode5 6.48 0.04 2.04 0.95 6.48(0,0%) 0.03 1.11(84%) 0.46 0.82 ThepercentagewithinparenthesisindicatestherelativedifferencebetweenSSIandEFDDresults(SSIresultsasreference). AsTable1shows,theambientvibrationtestsallowedtoaccuratelyidentifythefirstfivevibrationmodesinafrequencyrangeupto10Hz.Thefrequencieswereidentifiedwithrelativedifferenceslowerthan1.5%,takingthe Fig.10Ambienttestssetup(EFDDandSSI). (1)
resultsoftheSSImethodasreference.Theresultsforthedampingratioshowashighervariability(upto84%),withaveragemodaldampingratiosofthebuildingbeing1.65%and1.18%forSSIandEFDDtechniques,respectively. Thisresultisnotsurprisingandhigherexcitationseemstoberequiredinordertoobtainreliablemeasuresofdamping,whichisnotneededforstaticstructuralanalyses,asdonelaterinthispaper.Withrespecttomodeshapes,MAC valueswerealwayshigherthan0.80,whichindicateagoodcorrelationbetweenbothmethods.Thesecondmodeshowsalongitudinaltranslationmode,whiletheothermodescorrespondtobendingmodesofthevaults(Fig.11). 4Modelupdating StandardFEmodelsofhistoricalbuildingsusuallyincludeuncertaintiesbecauseofparameterssuchasunknownmaterialproperties,poorlyknownboundaryconditions,existingdamage,complexinternal compositionofstructuralelementsandmodellingapproximations.Therefore,calibratingthemodelwiththeaidofexperimentalinformationbecomesnecessaryinordertoappropriatelymodeltheactualstructural behaviour.Forourpurposes,resultsobtainedfromambientvibrationtestswillbeusedtoupdateandimprovetheinitialFEmodel. Inthiscase,theFEmodelupdatingbasedontheobtainedexperimentaldynamicpropertiesofTheChapelwasperformedbymeansofiterativemethods[28];thatis,modelupdatingarisesfromchanges appliedonsomewell-definedstructuralphysicalparametersselectedbytheusers.Forthispurpose,asensitivestudywascarriedoutinordertoidentifythephysicalparametersofthestructurethathaveastronger influenceonitsdynamicbehaviour.TheseparametersweretheYoung’smodulusofthemasonrybrick(Eb)andthestone(Es),thespringsstiffnessthatsimulatetheconnectionwiththepalace(Sp)andtheinertial massassociatedtotherestofthebuilding(Ip)(Fig.12).Theselectionoftheselasttwoparameterswasessentialtoperformthecalibrationprocess.ItisimportanttorememberthattheChapelmodelledisincluded Fig.11Modeshapesassociatedwiththeexperimentalresults(SSI).
withinalargercomplex,whoseinfluenceonthemodalbehaviourofthechapelhastobeconsidered.Theselectionofmoreparameterswouldunnecessarilycomplicatethephysicalinterpretationoftheupdating process. Giventhehighqualityoftheexperimentallydetectedfirstfourvibrationmodes,theyhavebeenchosentocarryouttheupdatingprocess.Onlynaturalfrequenciesvalueswereselected,duetothelower reliabilityoftheidentifiedmodeshapesincomparisonwiththemeasurednaturalfrequencies.Therefore,consideringfouridentifiednaturalfrequencies,fourresidualcomponentswereadjustedandminimisedduring modelupdating.Theupdatingprocesshasbeenperformedviaanoptimizationalgorithm,namelygeneticalgorithms[29],asimplementedinMatlabsoftware[30],accordingtothefollowingfitnessvalue l (θ): where are the frequencies obtained from the numerical model, which are related to the physical parameters of the model, (elastic moduli of masonry brick and stone, springs stiffness and inertial mass),whicharetheobjectoftheadjustment.Thevariables representthesamefrequenciesobtainedfromexperimentaldata,specifically,thevaluesobtainedfromtheEFDDmethod.Thedifferencesbetween theexperimentalandnumericalparametersaredenotedasresidues, .Aweightvariable couldbeestablishedforeachresiduetotakeintoaccountthedifferentreliabilityoftheidentifiedmodalparameters. Inourcase, =1( j =1−4)isadopted. SeveraliterativemethodshavebeenproposedintheliteraturetoupdateFEmodelsinstructuraldynamics.Foramoreinvolveddiscussionondifferentalternatives,theinterestedreaderisreferredtothe bookbyMarwala[31].Forourpurposes,geneticalgorithmsareselectedtoconducttheoptimization,astheyexhibitahigherprobabilitytoconvergetoaglobaloptimalsolutionthangradient-basedmethods.Genetic algorithms[29]aimatfindingsuchoptimalsolutionamongapopulationofpossiblesolutionsbyapplyingtheprinciplesofevolutionarybiology(crossover,mutation,selectionandreproduction)tocomputerscience. Geneticalgorithmshaveprovensuccessfulwhenappliedtocomplexoptimizationproblemsand,inparticular,whenappliedtoFEupdating(see,e.g.,Marwala[31]andreferencestherein). Fig.13illustratesthesummaryoftheupdatingprocessandshowsitsimportanceforobtainingreliablemodelsthatreplicatetheactualresponseofthestructures.Basedonthepropertiesoftheinitialfinite elementmodel,andestablishingarangeofvaluesforeachupdatingparameter(Table2)andtheupdatingobjective,thecalibrationprocessstarted.Ineachiteration,apopulationof1000vectorswascreatedthat, usingthegeneticalgorithmrules(asimplementedinMatlabsoftware),minimizedtheobjectivefunction(2).Suchcalibrationprocessterminatedwhenthedifferencebetweenthemeanvalue(bluepoints,Fig.13)and thebestvalue(blackpoints,Fig.13)ofthepopulationwaslessthan1×10−4.Table2showstheconsideredlowerandupperboundsfortheupdatingparametersandtheircorrespondinginitialandupdatedvalues.As itcanbeseen,updatedvaluesdifferupto30%withrespecttovaluesdefinedintheinitialmodel. Fig.12Finiteelementmodelandgroupofmaterial/elementtypesconsidered. (2)
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QueriesandAnswers Query:Yourarticleisregisteredasaregularitemandisbeingprocessedforinclusioninaregularissueofthejournal.IfthisisNOTcorrectandyourarticlebelongstoaSpecialIssue/Collectionplease contact
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