节点文献

基于环境激励的大跨结构动力特性识别

Identification of dynamic characteristics of large- span structure based on the ambient excitation

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 陈伏彬李秋胜

【Author】 CHEN Fubin;LI Qiusheng;School of Civil Engineering and Architecture,Changsha University of Science & Technology;Key Laboratory of Building Safety and Energy Efficiency of Ministry of Education ,Hunan University;Department of Civil and Architectural Engineering,City University of Hong Kong;

【机构】 长沙理工大学土木与建筑学院湖南大学建筑安全与节能教育部重点实验室香港城市大学土木及建筑工程系

【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。

【Abstract】 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.

【基金】 国家自然科学基金资助项目(51178179,51408062);长沙理工大学桥梁工程安全控制省部共建教育部重点实验室开放基金;国家级大学生创新创业训练计划项目
  • 【文献出处】 地震工程与工程振动 ,Earthquake Engineering and Engineering Dynamics , 编辑部邮箱 ,2015年01期
  • 【分类号】TU311.3
  • 【被引频次】2
  • 【下载频次】175
节点文献中: 

本文链接的文献网络图示:

本文的引文网络