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混凝土斜拉桥的模态参数识别与模型修正
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摘要
基于结构动力特性变化的大跨桥梁结构损伤诊断研究越来越受到人们的关注,而大跨混凝土斜拉桥结构的模态参数识别与模型修正,是桥梁健康监测中迫切需要解决但又尚未完全解决的一个极为复杂的问题。本文以惠州合生大桥为原型,面向健康诊断设计制作了1:15的大比例混凝土斜拉桥试验模型,对面向健康诊断的斜拉桥模型设计、斜拉桥模态试验与模态参数识别、斜拉桥有限元建模与模型修正等方面进行了研究。主要内容如下:
     (1)对面向健康诊断的混凝土斜拉桥模型设计进行了研究
     以广东惠州合生大桥为原型,面向健康诊断设计制作了1:15的大比例混凝土斜拉桥模型,针对模型设计过程中的困难,提出在满足制作条件的前提下,对模型桥主梁和主塔的设计应主要满足抗弯刚度相似的要求,放松对轴向刚度和扭转刚度等参数的相似要求,并给出了模型桥配重和斜拉索简化方法。采用有限元法对模型桥和原型桥的静动力特性及损伤特性进行了分析,分析结果表明模型桥和原型桥的静动力特性及损伤特性具有良好的相似性,可为混凝土斜拉桥的模型设计提供参考。
     (2)采用锤击法和环境激励法对模型桥进行了模态试验和模态参数识别研究
     采用特征系统实现算法(ERA)对锤击法模态试验数据进行了模态参数识别,得到了模型桥的前21阶模态参数;采用随机减量法结合ERA法对环境激励法模态试验数据进行了模态参数识别,得到了模型桥的前17阶模态参数。分别采用白噪声和实测地脉动非白噪声信号作为激励信号,对梁壳有限元模型进行了时程响应分析,对两种激励下的响应信号进行模态参数识别,将识别结果进行对比可见,非白噪声激励可使模态参数识别定阶过程中产生虚假模态,有限元预分析可为模态参数识别过程中的虚假模态剔除提供一个虚假模态可能出现的范围,另外,非白噪声激励可降低模态频率和模态振型的识别精度。提出了以精细有限元预分析结果为先验知识参考,将稳定图法、实测激励信号及信噪比高的测点信号的频谱分析结果相结合进行定阶和虚假模态剔除的方法,实践表明,该方法能够准确识别模型桥的模态参数并剔除了虚假模态,为环境激励试验模态参数识别中虚假模态的剔除提供一种新思路。
     分别从不同参数识别方法和基于MONTE CARLO法的噪声模拟两个方面对锤击法和环境激励法模态参数识别的不确定性进行了分析。结果表明:由不同参数识别方法引起的模态参数的不确定性明显高于由噪声模拟引起的不确定性,因此,不同参数识别方法引起的不确定问题不能忽略;通过基于MONTE CARLO法的噪声模拟给出了锤击法和环境激励法模态参数的统计不确定区间,为模型修正、损伤识别等研究提供基础数据。
     (3)锤击法和环境激励法模态频率识别结果差异的对比分析
     通过对模型桥张拉预应力前后及张拉预应力后主梁损伤三个工况的锤击法和环境激励法识别的频率差值进行对比,三个工况下锤击法和环境激励法识别的频率差值百分比最大分别为3.64%、1.24%、1.84%,可见,张拉预应力后锤击法和环境激励法识别的模态频率差值比张拉预应力前明显减小,主梁损伤工况锤击法和环境激励法识别的模态频率差值比张拉预应力后增大,由此推测,对于混凝土斜拉桥结构,由于混凝土微裂缝或裂缝的存在,结构的振动幅值大小可能会对主梁和主塔构件的截面刚度产生影响,振动幅值越大结构的刚度越低。
     (4)研究了混凝土斜拉桥有限元建模与模型修正
     提出了基于参数和目标函数分类的改进的模型修正技术,该模型修正技术通过灵敏度分析对修正参数和目标函数进行优选和分类、排序,逐级进行模型修正。结果表明,改进的模型修正技术有效改善了模型修正的病态问题,能够明显的提高模型修正效率并得到更优的模型修正结果。分别采用单主梁模式、三主梁模式、梁壳模式和实体模式建立了模型斜拉桥的初始有限元模型,采用改进的模型修正技术对各种初始有限元模型进行了模型修正,将修正前后的动力特性计算值与实测数据进行了对比,讨论了不同模式建模方法的计算精度和模型修正效果,以及有限元建模误差来源和模型修正的相关问题。结果表明,初始有限元模型计算误差主要是由建模误差和参数误差引起的;梁单元模型在建模方面有其局限性,单主梁模型无法准确模拟Π形主梁斜拉桥的扭转特性,应根据不同的结构特点和分析目标建立相应的有限元模型;提出模型修正过程中应准确区分建模误差和参数误差,才能得到最符合实际的基准有限元模型。为斜拉桥有限元建模与模型修正提供了参考。
It is more and more attention for the research on vibration based damageidentification of long span bridge recent years. Modal parameter identification andmodel updating of long-span concrete cable-stayed bridge structure is a verycomplicated problem which needs to be solved urgently in bridge health monitoring,and it has not been completely solved yet. Taking the Hesheng bridge as theprototype, a health-diagnosis-oriented concrete cable-stayed model bridge wasdesigned and made with a scale of1:15. A series of works were done in thisdissertation, mainly includes model design of health-diagnosis-oriented concretecable-stayed model, modal testing and modal parameter identification ofcable-stayed bridge, finite element modeling and model updating of cable-stayedbridge. The main investigations are summarized as follows:
     (1) Design and fabrication of health-diagnosis-oriented concrete cable-stayedmodel bridge
     Taking the Hesheng bridge as the prototype, a health-diagnosis-oriented concretecable-stayed model bridge was designed and made with a scale of1:15.In view of thedifficulties in the process of model design, on the premise of meet the productioncondition, the design of the model bridge girder and tower should meet therequirements that the flexural rigidity is similar, and the axial and torsional stiffnessparameters similar requirements could be relaxed, and the simplified method ofcounterweight and stay-cables was given. The initial finite element models of theprototype and model bridge were established. The static and dynamic characteristicsimilarity of the model and prototype bridge was analyzed at undamaged and damagestates. The results show that after a variety of simplification and treatment the staticand dynamic characteristic and damage characteristic of the model and prototypebridge still have a good similarity. It can provide a reference for the model design ofconcrete cable-stayed bridge.
     (2) Modal test and modal parameter identification of the model bridge werecarried out using hammer excitation method and ambient excitation method
     The first21modal parameters of the model bridge were obtained usingEigen-system Realization Algorithm(ERA) from hammer excitation modal test data,and the first17modal parameters of the model bridge were obtained using ERA combined with Random Decrement Technique(RDT) from ambient excitation modaltest data; Using white noise and the measured non-white noise signal as excitationinput, finite element time history response analysis was carried out, and modalparameter identification from simulated response data show that the measurednon-white noise excitation can bring spurious modes, in addition, the non-whitenoise excitation can reduce the identification accuracy of modal frequency and mode.With the finite element analysis results as prior knowledge, combined with thestability diagram method, the spectral characteristics of excitation signal and highsignal to noise ratio measurement point signal, it can give the order and eliminatespurious modes. Practice shows that the method can accurately identify the modalparameters of the model bridge and eliminate false modals effectively. It provides anew way to eliminate the false modals in modal parameter identification of ambientexcitation modal test.
     From different parameter identification method and noise simulation based onstatistical Monte Carlo analysis, uncertainty analysis of the parameters identifiedfrom data that obtained from hammer excitation modal test and ambient excitationmodal test was done. The results show that the uncertainty of modal parameterscaused by different identification methods was obviously higher than that caused bynoise simulation, therefore, uncertainty of modal parameters caused by the differentidentification methods can't be ignored; Uncertainty analysis of noise simulationbased on Monte Carlo method gives statistical uncertainty intervals of parametersidentified from data that obtained from hammer excitation modal test and ambientexcitation modal test. It provides useful information for the research of modelupdating and damage identification.
     (3) Reason analysis of the difference of modal frequencies identified from datathat obtained from hammer excitation and ambient excitation modal test
     Modal test and modal parameter identification of the model bridge was carriedout using hammer excitation method and ambient excitation method at three caseswhich were before and after the prestress reinforcement tensioned and the girderdamage status, the maximum difference of modal frequencies identified from datathat obtained from hammer excitation and ambient excitation modal test at the threecases were3.64%,1.24%,1.84%respectively, it can be seen that the differencereduces after the prestress reinforcement tensioned, and the difference rises at thegirder damage status. It is speculated that for the reason of concrete micro crack orcracks existence, structural vibration amplitude may impact the stiffness of the concrete girder and tower, and the higher vibration amplitude the lower structurestiffness.
     (4) Finite element modeling and model updating of concrete cable-stayed bridge
     A modified model updating technique based on parameters and objectivefunction classification was present, the modified model updating technique caneffectively improve the ill-condition problems, improve the efficiency of modelupdating and get better results. The initial dynamic finite element models of modelbridge were built by single beam pattern, triple-girder pattern, beam-shell patternand solid pattern respectively, and then the initial finite element models wereupdated by the modified model updating technology. Compared the calculateddynamic characteristics before and after model updating with measured data, thecalculation accuracy and the model updating effect of different finite element modelswere discussed, the error sources of finite element modeling and relevant issues ofmodel updating were analyzed. The results show that the calculation errors of initialfinite element models were mainly caused by modeling errors and parameter errors.Beam element models had limitations in modeling. Model updating shoulddistinguish the modeling errors and parameter errors accurately, then the realisticbaseline finite element model can be acquired. It can provide a reference for thefinite element modeling and model updating of concrete cable-stayed bridge.
引文
[1]张令弥.振动分析二十年:进展与展望.见:全国第七届模态分析与实验学术会议,山东,长岛,1995,148-151
    [2]孙增寿,韩建刚,任伟新.基于小波分析的结构损伤检测研究进展.地震工程与工程振动,2005,25(02):95-101
    [3]任伟新,胡卫华,林友勤.斜拉索模态试验参数研究.实验力学,2005,20(01):101-114
    [4]孙增寿,韩建刚,任伟新.基于曲率模态和小波变换的结构损伤位置识别.地震工程与工程振动,2005,25(4):46-51
    [5]沈松,应怀樵,雷速华等.用锤击法和变时基技术进行黄河铁路桥的模态试验分析.振动工程学报,2000,13(3):492-495
    [6]朱西产,张金换,李一兵等.客车车身试验模态分析及其在车身定型中的应用.汽车技术,1996,23(6):23-26
    [7]王艳辉,伍建国,缪建成.精密机床床身的模态分析与结构优选.机械设计与制造,2005,10(3):76-77
    [8] Peeters B, Weis S.Relationship between pool depth and internal washing on thebeach of a solid bowl decanter centrifuge.Filtration and Separation,2004,41(6):36-40
    [9] Peeters B, Debille J.Multiple input multiple output random vibration control:theory and practice. In:Proceedings of the2002International Conference onNoise and Vibration Engineering, ISMA, Leuven, Belgium: KatholiekeUniversiteit Leuven,Heverlee, Belgium,2002,507-515
    [10] Li J, Chen J. A statistical average algorithm for the dynamic compound inverseproblem. Computational Mechanics,2003,30(2):88-95
    [11] Li J,Chen J B.Probability density evolution method for dynamic responseanalysis of structures with uncertain parameters.Computational Mechanics,2004,34(5):400-409
    [12] Koh C G, Hong B, Liaw C Y.Substructural and progressive structural identi-fication methods. Engineering Structures,2003,25(12):1551-1563
    [13] Huang N E,Shen Z,Long S R.A new view of nonlinear water waves:the hilbertspectrum.Annu Rev Fluid Mech,1999,31(8):417-457
    [14]王彤,张令弥.有理分式正交多项式频响函数模态参数识别.航空学报,2003,24(2):140-143
    [15]刘自明.桥梁结构模型试验研究.桥梁建设,1999,34(4):1-7
    [16]颜东煌,田仲初,陈常松等.岳阳洞庭湖大桥三塔斜拉桥全桥静动力模型设计.长沙交通学院学报,1999,15(1):50-54
    [17]陈常松,颜东煌,田仲初等.岳阳洞庭湖大桥模型动力相似理论分析.桥梁建设,2002,23(1):48-50
    [18]安群慧,刘自明.荆州长江公路桥整体模型试验研究.桥梁建设,2002,2(4):15-22
    [19]王天亮,程宝辉.沈阳市富民桥全桥模型试验研究方法介绍.桥梁建设,2004,(增刊):70-74
    [20]张哲,张宏斌,宋广君等.混合梁弯塔斜拉桥动力模型试验及理论分析.哈尔滨工业大学学报,2005,37(9):1295-1297
    [21]傅卯生.汾河矮塔斜拉桥模型设计与试验.山西交通科技,2006,2(7):35-37
    [22]胡建华,沈锐利等.佛山平胜大桥全桥模型试验研究.土木工程学报,2007,40(5):17-25
    [23]项贻强,吴孙尧等.基于刚度相似原理的斜拉桥模型设计方法.实验力学,2010,25(4):438-444
    [24] Johnson E A, Lam H F,Katafygiotis L S,Beck J. A benchmark problem forstructural health monitoring and damage detection. In:Proceedings of the14stASCE Engineering Mechanics Conference,Austin,Texas,May21-24,2000
    [25]赵翔.拉索损伤对斜拉桥结构性能影响的研究:[博士学位论文].南京:东南大学,2005,45-52
    [26]孙宗光,石健等.面向健康诊断的悬索桥试验模型设计与分析.工程力学,2008,25(1):192-195
    [27]周林仁,欧进萍等.大跨斜拉桥结构健康监测实验室模型试验平台.实验力学,2012,27(6):659-668
    [28]任伟新.环境振动系统识别方法的比较分析.福州大学学报(自然科学版),2001,29(6):80-86
    [29] Cunha A, Caetano E.From Input-output to output-only modal identification ofcivil engineering structures. In:Proceedings of the1st International OperationalModal Analysis Conference(IOMAC), Copenhagen,Denmark,2005,457-468
    [30] Cunha A, Caetano E, Delgado R.Dynamic tests on a large cable-stayed bridge anefficient approach.Journal Bridge Engineering,ASCE,2001,6(1):54-62
    [31] Levy E C. Complex curve fitting. IEEE Transaction on Automatic Control,1959,4(1):37-44
    [32] Richardson M H,Formenti D L.Parameter estimation from frequency responsemeasurements using rational fraction polynomials.In:Proceedings of the1stInternational Modal Analysis Conference,Orlando.1982,167-181
    [33] Richardson M H.Global Frequency&damping estimates from frequency responsemeasurements.In:Proceedings of the4td International Modal AnalysisConference,USA,1986,132-146
    [34] Vander A H,Leuridan J.Multiple input orthogonal polynomial parameterestimation.Mechanical Systems and Signal Processing,1987,1(3):259-27
    [35] Rolain Y,Pintelon R,Xu K Q,et al.On the Use of orthogonal polynomials in highorder frequency domain system identification and its application to modalparameter estimation.In:Proceedings of the33rd IEEE Conference on Decisionand Control,USA,1994,663-674
    [36] Rolain Y,Pintelon R,Xu K Q,et al.Best conditioned parametric identification oftransfer function models in the frequency fomain.IEEE Transactions onAutomatic Control,1995,40(11):1954-1960
    [37]杜永昌,管迪.多输入多输出频域模态识别算法的探讨.清华大学学报,1997,37(11):61-64
    [38]陈怀海,许峰,彭江水.用幂基多项式拟合频响函数的几点技巧.振动工程学报,2001,14(1),122-124
    [39]焦群英,陈奎孚.整体正交多项式法识别模态参数的改进.中国农业大学学报,2003,8(2):1-6
    [40]胡彦超,陈章位.实验模态分析中一种改进的傅氏域离散正交多项式.振动工程学报,2008,21(1):43-47
    [41] Chen K F,Wang J L.Generating complex orthogonal polynomials.IntegralTransforms and Special Functions,2008,19(1):59-64
    [42] Chen K F,Jiao Q Y,Shen Y H.On the frequency mapping of modal parametersidentification. Mechanical Systems and Signal Processing,2007,21(4):1665-1673
    [43] Tang W, Shi Z K, Chen J.Aircraft flutter modal parameter identification using anumerically robust least-squares estimator in frequency domain. ChineseJournal of Aeronautics,2008,21(6):550-558
    [44] Guillaume P, Verboven P, Vanlanduit S.Frequency-domain maximum likelihoodidentification of modal parameters with confidence intervals. In:Proceedings ofISMA23, USA,1998,346-357
    [45] Vander A H, Verboven P.Application of a fast-stabilizing frequency domainparameter estimation method.Journal of Dynamic System,Measurement,andControl,2001,123(4):651-659
    [46] Auweraer H V, Peeters B. Discriminating physical poles from mathematicalpoles in high order systems:use and automation of the stabilization diagram.Instrumentation and Measurement Technology Conference,Italy,2004,2193-2198
    [47] Verboven P,Guillaume P, Cauberghe b,et al.modal parameter estimation andmonitoring for on-line flight flutter analysis.Mechanical Systems and SignalProcessing,2004,18(5):587–610
    [48] Verboven P,Cauberghe B,Parloo E. User-assisting tools for a fastfrequency-domain modal parameter estimation method.Mechanical Systems andSignal Processing,2004,18(4):759–780
    [49] Verboven P, Cauberghe B,Guillaume P. Improved total least squares estimatorsfor modal analysis.Computers and Structures,2005,83(1):2077–2085
    [50] Alessandro F. Modal parameters estimation in the z-domain. MechanicalSystems and Signal Processing,2009,23(1):217-225
    [51] Guillaume P,Verboven P,Vanlanduit S,et al.A poly-reference implementation ofthe least-squares complex frequency domain estimator.In:Proceedings of the21th International Modal Analysis Conference, Kissimmee,2003,467-480
    [52] Cauberghe B. Applied frequency-domain system identification in the field ofexperimental and operational modal analysis:[Dissertation].Belgium: VrijeUniversiteit Brussel,2004,125-143
    [53] Peeters B,Vander A H,Guillaume P,et al.The PolyMAX frequency-domainmethod:a new standard for modal parameter estimation.Shock andVibration,2004,11(2):395-409
    [54] Peeters B, Guillaume P.Automotive and aerospace applictions of the LMSPolyMAX modal parameter estimation method.In:Proceedings of the22thInternational Modal Analysis Conference,Dearborn,2004,453-462
    [55]易伟建,周云.基于高阶局部模态的弹性地基上框架结构物理参数识别研究.地震工程与工程振动,2007,27(1):414-423
    [56]周云,易伟建.用PolyMAX方法进行弹性地基板的实验模态分析.振动与冲击,2007,26(7):139-144
    [57] Pintelon R,Guillaume P,Rolain Y, Schoukens J, Parametric identification oftransfer functions in the frequency domain-a survey.IEEE Transactions onAutomatic Control,1994,39(11):2245-2260
    [58]傅志方,陈旅乐.模态参数的一种统计识别方法一极大似然函数估计法.振动与冲击,1986,2(1):11-21
    [59] Schoukens J,Pintelon R,Renneboog J.A maximum likelihood estimator for linearand nonlinear systems-a practical application of estimation techniques inmeasurement problem.IEEE Transactions on Instrument and Measures,1988,37(1):10-17
    [60] Guillaume P,Pintelon R,Schoukens J. Description of parametric maximumlikelihood estimator in the frequency domain for multi-input,multi-outputsystems and its application to flutter analysis. Mechanical Systems and SignalProcessing,1990,4(5):405-416
    [61] Verboven P,Guillaume P,Cauberghe B,et al.Frequency-domain generalized totalleast-squares identification for modal analysis.Journal of Sound and Vibration,2004,278(8):21–38
    [62]唐炜.飞机颤振模态参数识别方法研究:[博士学位论文].西安:西北工业大学,2006,67-75
    [63] Guillaume P,Hermans L,Vander A H. maximum likelihood identification ofmodal parameters from operational data. In:Proceedings of the17thInternational Modal Analysis Conference,Kissimmee,1999,1887-1889
    [64] Parloo E,Guillaume P,Cauberghe B. maximum likelihood identification ofnon-stationary operational data.Journal of Sound and Vibration,2003,268(7):971-991
    [65] Pintelon R,Schoukens J. Frequency domain maximum likelihood estimation oflinear dynamic errors-in-variables models. Automatica,2007,43(5):621-630
    [66]傅志方,华宏星.模态分析理论与应用.上海:上海交通大学出版社,2002,235-246
    [67]沃德·海伦,斯蒂芬·拉门兹,波尔·萨斯著.模态分析理论与实验.白化同,郭继忠,译.北京:北京理工大学出版社,2001,156-179
    [68]曹树谦等.振动结构模态分析理论、实验与应用.天津:天津大学出版社,2001,233-267
    [69] Vold H, Kundrat J, Rocklin G T, et al.A multi-input modal estimation algorithmfor mini-computers,SEA Paper,1982,91:815-821
    [70] Juang J N,Pappa R S. An eigensystem realization algorithm(era) for modalparameter identification and model reduction,Journal of Guidance, Control andDynamics,1985,8(5):620-627
    [71] Zhang L M. On the two-stage time domain modal identification. In:Proceedingsof the21th International Modal Analysis Conference,Orlando,2003,457-471
    [72]李中付,宋汉文,华宏星.基于环境激励的模态参数识别方法综述.振动工程学报,2000,21(3):1-5
    [73] Bendat J S, Piersol A G. Engineering application of correlation and spectralanalysis.Second Edition.New York:John Wiley&Sons,1993,346-359
    [74] Felber A J. Development of a hybrid evaluation system:[Dissertation].Vancouver: University of British Columbia,1993.123-154
    [75] Ren W X, Obata M.Elastic-plastic seismic behavior of long span cable-stayedbridges. Bridge Engineering, ASCE,1999,4(3):194-203.
    [76] Bao Z W, Ko J M. Determination of modal parameters of tall buildings withambient vibration measurements. The International Journal of Analytical andExperimental Modal Analysis,1991,6(1):57-68
    [77] Lin A N, Nikaeen A. Dynamic response of prototype concrete shell-part I.Experimental Techniques,1989,13(1):10-13
    [78] Luz E. Experimental modal analysis of large-scale structures. In:Proceedings ofthe International Conference on Mechanical Dynamics, USA,1987,321-331
    [79]宗周红, Aishi B J,林友勤等.西宁北川河钢筋混凝土搭桥的理论和实验模态分析.铁道学报,2003,25(4):89-95
    [80]任伟新,林友勤,彭雪林.大跨度斜拉桥环境振动与分析.实验力学,2006,21(4):418-426
    [81]宗周红,赖苍林,林友勤等.大跨度预应力混凝土连续刚构桥动力特性分析.地震工程与工程振动,2004,24(3):98-104
    [82]任伟新.环境振动系统识别方法的比较分析.福州大学学报(自然科学版),2001,29(6):80-86
    [83] Prevosto M. Algorithmes d, Identification des caracteristiques vibratoires destructures mecaniques complexes:[Dissertation]. Rennes: INRIA deRennes:Universite de Rennes,1982,79-85
    [84] Brincker R, Zhang L, Andersen P. Modal identification from ambient responsesusing frequency domain decomposition. In:Proceedings of18th IntenationalModal Analysis Conference,(IMAC), San Antonio,2000,662-674
    [85] Brincker R, Ventura C, Andersen P. Damping estimation by frequency domaindecomposition. In:Proceedings of19th International Modal AnalysisConference, Kissimmee, USA,2001,346-372
    [86] Fladung W, Brown D. Multiple reference impact testing. In:Proceedings ofISMA17, Leuven,1992,442-460
    [87]王彤,张令弥.运行模态分析的频域空间域分解法及其应用.航空学报,2006,27(1):62-66
    [88]张坤,段忠东,刘洋.连续刚构桥动力特性参数识别与有限元模型修正.公路交通科技,2008,25(9):67-72
    [89] Cole H A. On-the-line analysis of random vibrations.AIAA Paper Number68,1968,6(2):288-319
    [90]孟庆丰,何正嘉.随机减量技术中周期激励的影响及消除方法.振动与冲击,2003,22(1):100-102
    [91]张亚林,胡用生.运用相关函数辨识轨道车辆轮对模态参数.同济大学学报(自然科学版),2003,31(02):205-208
    [92]黄方林,何旭辉,陈政清等.随机减量法在斜拉桥拉索模态参数识别中的应用.机械强度,2002,24(03):331-334
    [93]刘齐茂.用随机减量技术及ITD法识别工作模态参数.广西工学院学报,2002,13(04):23-26
    [94]张亚林,胡用生.应用随机减量和模态分析方法辨识机车轮对模态和物理参数.内燃机车,2002,(08):9-12
    [95] Ibrahim S R, Brincker R, Asmussen J.C.Modal parameter identification fromresponses of general unknown random inputs. In:Proceedings of the14thInternational Modal Analysis Conference(IMAC), Dearborn,1996,446-452
    [96] Juang J N, Pappa R S. An Eigensystem realixation algorithm for modalparameter identification and model reduction. Journal of Guidance, Control,and Dynamics,1985,8(5):620-627
    [97] Juang J N, Pappa R S. Effects of noise on modal parameters identified by theeigensystem realixation algorithm. Journal of Guidance, Control, and Dynamics,1986,9(3):294-303
    [98] Ho B L, Kalman R E. Effective construction of linear state variable models frominput/output data. In:Proceedings of the3rd Annual Allerton Conference onCircuit and System Theory,USA,1965,442-453
    [99] Kung S. A new identification and model reduction algorithm via singular valuedecomposition. In:Proceedings of the12th Asilomar Conference on Circuits,Systems and Computers,USA,1978,542-551
    [100] Pappa R S, Juang J N. Galileo spacecraft modal identification using aneigensystem realization algorithm. Journal of the Astronautical Sciences,1985,33(1):15-23
    [101] Peterson L D, Alvin K F. Time and frequency domain procedure foridentification of structure dynamic models. Journal of Sound and Vibration,1997,201(1):137-144
    [102] Lus H, Betti R, Longman R W. Identification of linear structural system usingearthquake induced vibration data. Earthquake Engineering and StructuralDynamics,1999,28(11):1449-1467
    [103] Darby J L, Brownjohn M W J, Sohn H, et al. Modal parameter extraction of Z24bridge data. In:Proceedings of the19th identification modal analysis conference,Orlando,2001,121-134
    [104]李惠彬,秦权,钱良中.青马悬索桥的时域模态识别.土木工程学报,2001,34(5):52-61
    [105]李蕾红,陆秋海,任革学.特征系统实现算法的识别特性研究及推广.工程力学,2002,19(1):109-114
    [106]杨和振,李华军,土国兴.海洋平台结构模态参数识别的仿真研究.海洋工程,2003,21(4):75-80
    [107] Wang S Q, Li H J, Takayama T. Modal identification of offshore platformsusing statisrical method based on ERA. China Ocean Engineering,2005,19(2):175-184
    [108] Siringoringo D M, Fujino Y. System identification of suspension bridge fromambient vibration response. Engineering Structures,2008,30(2):462-477
    [109] Van O P, De M B.Subspace Algorithms for the stochastic identificationproblem.In:Proceedings of the30th IEEE Conference on Decision andControl,Brighton,1991,1321-1326
    [110] Van O P, De M B.Subspace identification for linear systems:theory,implementation, applications. Dordrecht, the Netherlands: Kluwer AcademicPublishers,1996,345-367
    [111] Peeters B,De R G.Stochastic subspace system identification of a steeltransmitter mast. In:Proceedings of the International Modal AnalysisConference-IMAC, Santa Barbara,1998,130-136
    [112] Chen A L, Zhang L M.Study of stochastic subspace system identificationmethod. Chinese Journal of Aeronautics,2001,14(4):222-228
    [113] De C K,Peeters B,Vecchio A,et al.Subspace system identification formechanical engineering.In:Proceedings of ISMA2002:International ConferenceOn Noise And Vibration Engineering,USA,2002,1333-1352
    [114] De R G,Peeters B,Ren W X.Benchmark study on system identification throughambient vibration measurements.In:Proceedings of SPIE:The InternationalSociety for Optical Engineering, San Antonio,2000,1106-1123
    [115] Ren W X,Harik I E,Blandford G E.Roebling suspension bridge:I.FE model andfree vibration response. Bridge Engineering, ASCE.2004,9(2):110-118
    [116] Ren W X, Harik I E,Blandford G.E.Roebling suspension bridge: II. ambienttesting and live load response. Bridge Engineering, ASCE,2004,9(2):119-126
    [117] Huang N E,Shen Z,Long S R,et al.The empirical mode decomposition andHilbert spectrum for nonlinear and nonstationary time series analysis.In:Proceedings of Royal Society of London-Series,London,1998,903-995
    [118]汪璇,曹万强.Hilbert变换及其基本性质分析.湖北大学学报(自然科学版),2008,30(1):53-55
    [119] Yang J,Lei Y,Pan S,et al.System identification of linear structures based onHilbert-Huang spectral analysis.part I: normal modes.Earthquake engineering&structural dynamics,2003,32(9):1443-1467
    [120] Yang J N,Lei Y,Pan S,et al.System identification of linear structures based onHilbert-Huang spectral analysis.Part II:Complex modes.Earthquake Engineeringand Structural Dynamics,2003,32(10):1533-1554
    [121] Yang J N,Lei Y,Lin S,et al.Identification of natural frequencies and dampings ofin situ tall buildings using ambient wind vibration data.Journal of EngineeringMechanics,2004,130(5):570-577
    [122]李中付,华宏星,宋汉文,等.模态分解法辨识线性结构在环境激励下的模态参数.上海交通大学学报,2001,35(12):1761-1765
    [123]李中付,华宏星,宋汉文,等.非稳态环境激励下线性结构的模态参数辨识.振动工程学报,2002,15(2):139-143
    [124]韩海明,沈涛虹,宋汉文.工况模态分析的EMD方法.振动与冲击,2002,21(4):69-73
    [125]陈隽,徐幼麟.HHT方法在结构模态参数识别中的应用.振动工程学报,2003,16(03):383-388
    [126]陈隽,徐幼麟,李杰.Hilbert-Huang变换在密频结构阻尼识别中的应用.地震工程与工程振动,2003,23(4):34-42
    [127] Xu Y L,Chen S W,Zhang R C.Modal identification of Di Wang Building undertyphoon york using the Hilbert-Huang transform method.Structural Design ofTall Buildings,2003,12(1):21-47
    [128] Peng Z,Tse P,Chu F.An improved Hilbert-Huang transform and its applicationin vibration signal analysis.Journal of Sound and Vibration,2005,286(1-2):187-205
    [129]韩建平,李达文,王飞行.基于Hilbert-Huang变换和随机子空间识别的模态参数识别.地震工程与工程振动,2010,30(1):53-59
    [130]张永利.HHT结合NExT法识别结构参数.工程抗震与加固改造,2009,31(5):8-13.
    [131] Yang J N,Lei Y,Lin S,et al.Hilbert-Huang based approach for structural damagedetection. Journal of Engineering Mechanics,2004,130(1):85-95
    [132]陈文新.基于希尔伯特—黄变换的结构模态参数识别研究:[硕士学位论文].湘潭:湖南科技大学,2009,32-41
    [133] Piombo B A D, Fasana A, Marchesiello S, et al. Modelling and identification ofthe dynamic response of a supported bridge. Mechanical Systems and SignalProcessing,2000,14(1):75-89
    [134] Kijewdki T, Kareem A. Wavelet transforms for system identification in civilengineering. Computer-Aided Civil and Infrastructure Engineering,2003,18(5):339-355
    [135] Chang C C, Sun Z, Li N. Identification of structural dynamical properties usingwavelet transform. In:Proceedings of the15th international Conference onStructural Health Monitoring and Intelligent Infrastructure, Tokyo,2003,696-705
    [136]范立础.桥梁抗震.上海:同济大学出版社,1997,125-146
    [137] Wilson J C, Gravelle W. Modelling of a cable-stayed bridge for dynamic analy-sis. Earthquake Engineering and Structural Dynamics,1991,20(8):707-721
    [138]苏成,韩大建,等.大跨度斜拉桥三维有限元动力模型的建立.华南理工大学学报(自然科学版),1999,27(11):51-56
    [139] Zhu L D, Xiang H F, Xu Y L. Triple-girder model for modal analysis ofcable-stayed bridges with warping effect. Engineering Structures,2000,22(10):1313-1323
    [140]宋雨,陈东霞.斜拉桥动力特性分析.厦门大学学报(自然科学版),2006,45(1):56-59
    [141]胡晓伦,陈艾荣.用BEAM18X单元替代三主梁力学模型.交通与计算机,2006,3(24):52-56
    [142] Ren W X, Peng X L. Baseline finite element modeling of a large spancable-stayed bridge through field ambient vibration tests. Computers&Structures,2005,83(8-9):536-550
    [143]李兆霞,李爱群,陈鸿天等.大跨桥梁结构以健康监测和状态评估为目标的有限元模拟.东南大学学报(自然科学版),2003,33(5):562-572
    [144] Mottershead J E, Friswell M I. Model updating in structural dynamics: a survey.Journal of Sound and Vibration,1993,167(2):347-375
    [145]张德文,魏阜旋.模型修正与破损诊断.北京:科学出版社,1999,75-89
    [146] Zhang Q W, Chang T Y P, Chang C C. Finite-element model updating for theKap Shui Mun Cable-Stayed bridge. Journal of Bridge Engineering,2001,6(4):285-293
    [147]夏品奇, Browjhon J M W.斜拉桥有限元建模与模型修正.振动工程学报,2003,16(2):219-223
    [148] Zapico J L, Gonzalez M P, Friswell M I, Taylar C A, Crewe A J. Finite elementmodel updating of a small scale bridge. Journal of Sound and Vibration,2003,268:993-1012
    [149] Bijaya J, Kim H J, Kim M K, Ren W X, Lee S H. Finite element model updatingof concrete-filled steel tubular arch bridge under operational condition usingmodal flexibility. Mechanical Systems and Signal Processing,2007,21(9):2406-2426
    [150] Daniell W, Macdonald J H G. Improved finite element modelling of acable-stayed bridge through systematic manual tuning. Engineering Structures,2007,29(3):358-371
    [151]方志,唐盛华,张国刚等.基于多状态下静动态测试数据的斜拉桥模型修正.中国公路学报,2011,24(1):34-41
    [152] Benedettini F, Gentile C. Operational modal testing and FE model tuning of acable-stayed bridge.Engineering Structures,2011,33(6):2063-2073
    [153]杨俊杰.相似理论与结构模型试验.武汉:武汉理工大学出版社,2005,23-47
    [154] Pandey A K,Biswas M. Damage detection in structures using changes inflexibility. Journal of Sound and Vibration,1994,169(1):3-17
    [155]应怀樵,刘进明.火箭激振钱塘江大桥模态试验.实验力学,1999,14(4):528-532
    [156]张宏斌,宋广君.模态分离法在拱桥动载试验中的应用.公路交通科技,2005,22(1):66-68
    [157] Metropolis W, Ulam S. Monte Carlo method. Journal of the American StatisticalAssociation,1949,44(1):335-341
    [158]杨耀臣.蒙特卡罗方法与人口仿真学.合肥:中国科学技术大学出版社,1999,45-59.
    [159] Bendat J S. Piersol A G, Engineering applications of correlation and spectralanalysis,John Wiley and Sons, New York,1980,753-767
    [160] Allemang R J, Brown D L.A unified matrix polynomial approach to modalidentification.Journal of Sound and Vibration,1998,211(3):301-322
    [161] Sehwarz G.Estimation of the dimension of a model.Annals of Statisties,1978,6(4):461-464
    [162] Rissanen J. A universal prior for integers and estimation by minimumdescription length.Annals of Statisties,1983,11(1):416-431
    [163] Soderstrom M, Stoica P.System identification, Hemel Hempstead, UK: Pren-tice Hall,1989,253-289
    [164] Li Y Y, Yaw L H.Study on model order determination of thin plate systems withparameter uncertainties. Mechanical Systems and Signal Processing,1999,13(4):667-680
    [165] Bauner D.Order estimation for subspace methods. Automatica,2001,37(1):1561-1573
    [166]丁韬,丁锋,刘泉,王治祥.状态空间模型方程阶次的辨识.清华大学学报(自然科学版),2002,42(1):108-110
    [167] James G H, Carne T G, Lauffer J P, Sandia National Laboratories, The naturalexcitation technique (NExT) for modal parameter extraction from operatingstructures. Journal of Analytical and Experimental Modal Analysis,1995,10(4):260–277
    [168]王卓,闫维明,叶列平.网壳结构运行模态分析的模型试验.清华大学学报(自然科学版),2011,51(6):755-759
    [169] Moaveni B, He X, Conte J P, et al. System identification study of a7-storyfull-scale building slice tested on the UCSD-NEES shake table. Journal ofStructural Engineering,2010,137(6):705-717
    [170]孙建民,梁迎春.机械优化设计.哈尔滨:哈尔滨工业大学出版社,2009,1-56
    [171]王振杰.大地测量中不适定问题的正则化解法研究:[博士学位论文].北京:中国科学院测量与地球物理研究所,2003,1-32
    [172]卢秀山.病态系统分析理论及其在测量中的应用:[博士学位论文].武汉:中国科学院测量与地球物理研究所,1999,1-25
    [173]王俊荣.海洋平台结构物损伤检测与模型修正方法研究:[博士学位论文].青岛:中国海洋大学,2009,21-56
    [174] Friswell M I, Mottershead J E. Finite Element Model Updating in StructuralDynamics. Kluwer Academic Publishers,1995,34-112
    [175]郭彤,李爱群,韩大伟.基于灵敏度分析与优化设计原理的大跨桥梁动力模型修正.桥梁建设,2004,6(1):20-23

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