基于环境激励的大跨结构动力特性识别
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摘要
本文以广州国际会展中心一期在环境激励下获得的屋盖5处位置加速度响应时程数据为基础,分别采用随机减量法(RDT)、峰值拾取法(PP)以及频域分解法(FDD)识别结构的前4阶竖向振动模态频率;并采用随机减量法(RDT)获得了前2阶阻尼比。基于有限元分析软件ANSYS,建立结构三维有限元模型,获得了结构前16阶模态频率,并将前4阶整体竖向模态频率与实测结果进行对比。研究表明:(1)RDT法、PP法以及FDD法具有很好的识别结构振动模态频率的功能,且RDT法能有效地识别结构整体阻尼比;(2)有限元数值计算在结构设计初期对识别动力特性上具有较高的精度。
The acceleration responses of five accelerometers located on the roof of the Guangzhou International Convention & Exhibition Center( GICEC) were obtained under the condition of the ambient excitation. Three methods of random decrement technique( RDT),peak picking( PP),frequency domain decomposition( FDD) were adopted for the identification of the first four vertical vibration modal frequencies,and the first two modal damping ratio were identified by means of RDT method. The 3-D finite element model( FEM) was built with the software of ANSYS,then the first sixteen modal frequencies were extracted. Meanwhile,the first four vertical vibration modal frequencies were compared with that from the field measurement. The results revealed that: First,the methods of RDT,PP,and FDD are efficient to identify the structural modal frequency,and the RDT method has high accuracy for estimation of the structural damping ratio. Second,the 3-D FEM has a good accuracy for predicting the structure dynamic characteristics in its prior period design stage.
The acceleration responses of five accelerometers located on the roof of the Guangzhou International Convention & Exhibition Center( GICEC) were obtained under the condition of the ambient excitation. Three methods of random decrement technique( RDT),peak picking( PP),frequency domain decomposition( FDD) were adopted for the identification of the first four vertical vibration modal frequencies,and the first two modal damping ratio were identified by means of RDT method. The 3-D finite element model( FEM) was built with the software of ANSYS,then the first sixteen modal frequencies were extracted. Meanwhile,the first four vertical vibration modal frequencies were compared with that from the field measurement. The results revealed that: First,the methods of RDT,PP,and FDD are efficient to identify the structural modal frequency,and the RDT method has high accuracy for estimation of the structural damping ratio. Second,the 3-D FEM has a good accuracy for predicting the structure dynamic characteristics in its prior period design stage.
引文
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[2]黄明鑫.大型张弦梁结构的设计与施工[M].济南:山东科学技术出版社,2005,4-13.HUANG Mingxin.Design and construction for large-scale beam string structure[M].Jinan:Shandong Science&Technology Press,2005,4-13.(in Chinese)
[3]续秀忠,华宏星,陈兆能.基于环境激励的模态参数辨识方法综述[J].振动与冲击,2002,21(3):1-5.XU Xiuzhong,HUA Hongxing,CHEN Zhaoneng.Review of modal identification method based on ambient excitation[J].Journal of Vibration and Shock,2002,21(3):1-5.(in Chinese)
[4]Ivanovic S S,Trifunac M D,Todorovska M I.Ambient vibration tests of structures-a review[J].Journal of Earthquake Technology,2000,37:165-197.
[5]杨志勇,李创第,李桂青,等.随机阻尼对结构抗风抗震动力响应的影响[J].地震工程与工程振动,2000,20(2):25-28.YANG Zhiyong,LI Chuangdi,LI Guiqing,et al.Effect of wind and earthquake loading on structural response with uncertain damping[J].Earthquake Engineering and Engineering Dynamics,2000,20(2):25-28.(in Chinese)
[6]R.Eyre,G.P.Tilley.Damping measurements on steel and composite bridges[C]∥In:Proc.Symp.Dyn.Behavior Bridges,Transport and Road Research Laboratory,Growthorn,Berkshire,England,1977,22-39.
[7]A.P.Jeary.Establishing non-linear damping characteristics of structures from non-stationary time-histories[J].Struct.Eng,1992,70:61-66.
[8]Q.S.Li,D.K.Liu,J.Q.Fang,et al.Using neural networks to model and predict amplitude dependent damping in buildings[J].Wind and Structures,1999,2:25-40.
[9]Q.S.Li,D.K.Liu,J.Q.Fang,et al.Damping in buildings:its neural network and AR model[J].Engineering Structures,2000,22:1216-1223.
[10]J.Q.Fang,Q.S.Li,A.P.Jeary,et al.Damping in tall buildings:its evaluation and probabilistic characteristics[J].The Structural Design of Tall and Special Buildings,1999,8:145-153.
[11]J.Q.Fang,A.P.Jeary,Q.S.Li,et al.Random damping in buildings and its AR model[J].Journal of Wind Engineering and Industrial Aerodynamics,1999,79:159-167.
[12]J.K.Chiu,E.C.Jack,S.C.Li.Random decrement based method of modal parameter identification of a dynamic system using acceleration response[J].Journal of Wind Engineering&Industrial Aerodynamics,2007,95:389-410.
[13]Q.S.Li,Y.Q.Xiao,J.R.Wu,et al.Typhoon effects on super tall-buildings[J].Journal of Sound and Vibration,2008;13:581-602.
[14]J.S.Bendat,A.G.Piersol.Engineering applications of correlation and spectral analysis[M].New York:Wiley,1980,270-285.
[15]H.Yasui,H.Marukawa,J.Katagiri,et al.Study of wind-induced response of long-span structure[J].Journal of Wind Engineering&Industrial Aerodynamics,1999,83:277-288.
[16]GB50017-2003钢结构设计规范[S].北京:中国建筑工业出版社,2003.GB50017-2003 Code for Design of Steel Structures[S].China Architecture&Building Press,2003.(in Chinese)
[17]陈汉翔.大跨度张弦梁结构受力性能的研究[D].广州:华南理工大学,2003,10-20.CHEN Hanxiang.Investigation on mechanical performance of large-span beam string structure[D].Guangzhou:South China University of Technology,2003,10-20.(in Chinese)
[18]翟红.大直径圆钢管空间KK型节点滞回性能研究[D].上海:同济大学,2002,25-35.ZHAI Hong.Investigation on hysteretic behavior of large-scale unstiffened space tubular KK-joints[D].Shanghai:Tongji University,2002,25-35.(in Chinese)
[19]宋勇,艾宴清,梁波,等.ANSYS7.0有限元分析[M].北京:清华大学出版社,2003,147-284.SONG Yong,AI Yanqing,LIANG Bo,et al.Finite element analysis with ANSYS 7.0[M].Beijing:Tsinghua University Press,2003,147-284.(in Chinese)
[20]克拉夫R W,彭津.结构动力学[M].北京:科学出版社,1981:256-265.KRAFT R W,PENG Jing.Dynamics of Structures[M].Beijing:Science Press,1981:256-265.(in Chinese)
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