基于强震动观测记录的结构扭转振型识别
DOI:
作者:
作者单位:

中国地震局地震研究所(地震大地测量重点实验室),云南省地震局,中国地震局地震研究所(地震大地测量重点实验室),中国地震局地震研究所(地震大地测量重点实验室)

作者简介:

通讯作者:

中图分类号:

TU 311.3

基金项目:

国家自然科学基金面上项目(41572354)、中国地震局社会公益研究项目(1521401800062)


Based on Strong Motion Observation to Identify Structural Torsional Vibration Mode
Author:
Affiliation:

Institute of Seismology, CEA,Earthquake Administration of Yunnan Province,,

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    结构强震动观测是分析结构动力参数的重要途径,对于扭转振型的识别,往往需要同一楼层平面内的多台强震动观测设备,而平面内单台设备能否有效识别结构的扭转振型,有待分析讨论。选取云南省一强震动观测台阵的观测记录,通过傅里叶谱分析、几何推导,识别了该大楼的振型模态。结果显示,大楼长、短轴向各存在明显的峰值点,对应频率分别为:地震动的卓越频率(短轴1.1 Hz、长轴1.3 Hz)、结构第一平动振型(1.7 Hz)、结构第二扭转振型(2.1 Hz)。最后,在考虑填充墙质量、刚度的情况下,建立了符合实际工程情况的三维有限元模型并进行模态分析。结果显示,有限元模拟值与强震动观测结果相近,说明利用强震观测记录傅里叶谱,可有效识别结构的振型模态,同时也说明平面内单台强震动观测设备能识别结构的扭转振型。

    Abstract:

    Structural seismic response observation is an important method to get structural dynamic parameter. It usually needs more than three strong motion observation equipment to identify structural torsional vibration mode. However, single equipment is most commonly and it’s unclearly whether it can identify torsional vibration mode. So, we used strong motion observation record in Ludian M6.5 earthquake to analyze the mode shapes of a comprehensive building in Yunnan province. Fourier spectrum analysis results showed that the peak value correspond to structural natural frequency. Among these, the 1.1 Hz is the predominant frequency of the ground motion, the 1.7 Hz is the natural frequency of the first vibration mode and the 2.1 Hz is the natural frequency of the second vibration mode. In addition, the second vibration mode is the torsional vibration mode of structure. At last, we established the 3D finite element model using SAP2000, and the quality and stiffness of infilled wall was considered in this model. Simulation results show that the characteristics of the vibration modes are consistent with the strong motion observation. So, we can conclude that: single equipment can identify torsional vibration mode by use of fourier spectrum analysis.

    参考文献
    相似文献
    引证文献
引用本文

魏勇,崔建文,王秋良,等. 基于强震动观测记录的结构扭转振型识别[J]. 科学技术与工程, 2018, 18(3): .
weiyong, cuijianwen,王秋良,et al. Based on Strong Motion Observation to Identify Structural Torsional Vibration Mode[J]. Science Technology and Engineering,2018,18(3).

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2017-06-15
  • 最后修改日期:2017-09-14
  • 录用日期:2017-09-20
  • 在线发布日期: 2018-02-27
  • 出版日期:
×
律回春渐,新元肇启|《科学技术与工程》编辑部恭祝新岁!
亟待确认版面费归属稿件,敬请作者关注