简介：Objectivesofthistaskaretoconductresearchonseismichazards,andtoproviderelevantinputontheexpectedlevelsofthesehazardstoothertasks.Othertasksrequiringthisinputincludethosedealingwithinventory,fragilitycurves,rehabilitationstrategiesanddemonstrationprojects.Thecorrespondinginputisprovidedinvariousformatsdependingontheintendeduse:aspeakgroundmotionparametersand/orresponsespectralvaluesforagivenmagnitude,epicentraldistanceandsiteconditions;orastimehistoriesforscenarioearthquakesthatareselectedbasedonthedisaggregatedseismichazardmappedbytheU.S.GeologicalSurveyandareincorporatedinbuildingcodes.Theusercommunityforthisresearchisbothacademicresearchersandpracticingengineerswhomayusetheseismicinputgeneratedbythesynthesistechniquesthataredevelopedunderthistaskforavarietyofapplications.Theseincludegroundmotionsforscenarioearthquakes,fordevelopingfragilitycurvesandinspecifyinggroundmotioninputforcriticalfacilities(suchashospitals)locatedintheeasternU.S.

简介：Utilizingdatafromcontrolledseismicsourcestoimagethesubsurfacestructuresandinvertthephysicalpropertiesofthesubsurfacemediaisamajoreffortinexplorationgeophysics.Denseseismicrecordswithhighsignal-to-noiseratio(SNR)andhighfidelityhelpsinproducinghighqualityimagingresults.Therefore,seismicdatadenoisingandmissingtracesreconstructionaresignificantforseismicdataprocessing.Traditionaldenoisingandinterpolationmethodsrarelyoccasionedrelyonnoiselevelestimations,thusrequiringheavymanualworktodealwithrecordsandtheselectionofoptimalparameters.Weproposeasimultaneousdenoisingandinterpolationmethodbasedondeeplearning.Fornoisyrecordswithmissingtraces,weadoptaniterativealternatingoptimizationstrategyandseparatetheobjectivefunctionofthedatarestoringproblemintotwosub-problems.Theseismicrecordscanbereconstructedbysolvingaleast-squareproblemandapplyingasetofpre-traineddenoisingmodelsalternativelyanditeratively.Wedemonstratethismethodwithsyntheticandfielddata.

简介：Platestructuresareemployedasimportantstructuralcomponentsinmanyengineeringapplications.Hence,assessingthestructuralconditionsofin-serviceplatestructuresiscriticaltomonitoringglobalstructuralhealth.Modalcurvature-baseddamagedetectiontechniqueshaverecentlygarneredconsiderableattentionfromtheresearchcommunity,andhavebecomeapromisingvibration-basedstructuralhealthmonitoringsolution.However,computingerrorsarisewhencalculatingmodalcurvaturesfromlateralmodeshapes,whichresultfromunavoidablemeasurementerrorsinthemodeshapesasidentifiedfromlateralvibrationsignals;thismakescurvature-basedalgorithmsthatusealateralmeasurementonlytheoreticallyfeasible,butpracticallyinfeasible.Therefore,inthisstudy,long-gaugefiberBragggratingstrainsensorsareemployedtoobtainamodalcurvaturewithoutanumericaldifferentiationprocedureinordertocircumventthecomputingerrors.Severaldamageindicesbasedonmodalcurvaturesthatweredevelopedtolocatebeamdamageareemployed.Bothnumericalandexperimentalstudiesareperformedtovalidatetheproposedapproach.However,althoughpreviousstudieshavereportedrelativesuccesswiththeapplicationofthesedamageindicesonasimplebeam,onlyonedamageindexdemonstratedthecapabilitytolocatedamagewhenthestiffnessofthelocalregionchangednearthesensor.

简介：为了在摇晃识别模型结构参数，从地震反应搁置测试，特别从变化时间的反应记录，这份报纸由联合论述新方法论联机与外长的变量(ARX)的通过多重模型(AFMM)和离线的汽车回归的递归的适应忘记模型。首先，AFMM被采用当使遭到了到强壮的运动时，检测模型结构的反应是否时间不变或变化时间。第二，如果反应是时间不变的，形式的参数从全部反应记录被识别，例如用ARX模型的加速时间历史。如果反应是变化时间的，加速记录根据AFMM检测的精确的变化时间的点被划分成三个片断，并且参数被仅仅使用尾巴片断数据识别，它为由ARX模型的分析时间不变、适合。最后，在动态性质的变化用介绍方法论由于各种各样的强壮的运动被获得。方法的可行性和优点被鉴别一个12故事的形式的参数增强了水泥(RC)表明在摇晃的表格测试的框架结构。

简介：有关与不对称的集体分发减轻prototypal框架结构的latero扭力的地震反应的滑稽得多的任务的理论、实际的问题被接近。有对interstory飘移起作用的嵌入的magnetorheologicaldampers的V形臂章背带被用来保证另外的精力驱散。采用经由反馈管理更潮湿的特征的修正的半活跃的控制策略根据一个H2/LQG标准，实际力量被片断最佳的逻辑关于调整基于最佳的力量的选择。一个动态观察员被用来通过加速传感器的非并置的放置估计状态。包括半活跃的保护系统的设计，modelization，和实现阶段在整个复杂过程要探讨的几个方面被讨论。最后，获得减轻运动的试验性的结果在一个大规模实验室原型由地面刺激导致了，模仿一座二故事的大楼的地震反应，被总结。