基于监测数据的悬索桥关键约束装置状态评估方法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TU122

基金项目:

江苏省自然科学基金面上项目(BK20181278);中交集团院士专项科研经费项目(YSZX-03-2020-01-B,YSZX-03-2021-02-B);江苏省交通运输科技项目(2020Y19-(1))


Status assessment method of key restraint devices for long span suspension bridge based on monitoring data
Author:
Affiliation:

Fund Project:

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

    为更准确地评估大跨径悬索桥的伸缩功能,及时发现病害,在现阶段基于监测数据的伸缩缝、支座状态评估通用方法的基础上,将伸缩缝和支座状态评估相结合,提出了基于监测数据的悬索桥关键约束装置状态评估方法。该方法采用小波分离法对位移数据进行波形分离,通过温度[CD*2]位移一致性分析并根据数据细节变化幅度分析桥梁伸缩异常阻力及其对应的病害,对自然日进行合理分段,以每一连续时段为单位,分别进行温度和位移的相关性及波折分析。以某大型悬索桥为例,采用该评估方法对关键约束装置状态进行评估,并将评估结果与同期专项检查结果进行对比,结果表明,该评估方法合理可行,可辅助悬索桥关键约束装置状态评估。

    Abstract:

    For long-span suspension bridge, in order to evaluate the expansion function of bridge more accurately and discover the disease in time, based on the general evaluation method of expansion joint and bearing status based on monitoring data, the evaluation of expansion joint and bearing are integrated, and a status evaluation method based on the monitoring data for key restraint devices of suspension bridge is proposed. Wavelet separation method is used to separate the displacement data. The consistency of temperature displacement and the variation range of data details of suspension bridge are analyzed. After segmenting the natural day reasonably, the correlation analysis and break analysis of temperature and displacement are carried out in each continuous period. The method is used to evaluate a large suspension bridge, and the evaluation results are compared with the results of special inspection in the same period. The results show that the evaluation method is reasonable and feasible, which can assist the status evaluation of key restraint devices of suspension bridge.

    参考文献
    相似文献
    引证文献
引用本文

黄侨,李维珍,任远,等.基于监测数据的悬索桥关键约束装置状态评估方法[J].河海大学学报(自然科学版),2022,50(2):61-68.(HUANG Qiao, LI Weizhen, REN Yuan, et al. Status assessment method of key restraint devices for long span suspension bridge based on monitoring data[J]. Journal of Hohai University (Natural Sciences),2022,50(2):61-68.(in Chinese))

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:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2022-03-29
  • 出版日期: