自动识别,警告和可视化引振动的自动识别,警告和可视化
Min He1, Peng Liang2,3, Xing-Shun Lu2
1School of Architecture and Civil Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.
Sensors (Basel, Switzerland)
|October 16, 2025
概括
本研究引入了一种自动化方法,用于识别和可视化桥梁中引发的振动 (VIV). 该系统提供实时警告和图形结果,增强桥梁安全和管理.
科学领域:
- 土木工程 土木工程是指土木工程.
- 结构健康监测 结构健康监测
- 振动分析 振动分析
背景情况:
- 引发的振动 (VIV) 对桥梁运行安全构成风险.
- 目前的VIV识别方法缺乏可视化,这阻碍了桥梁管理人员的快速确认.
- 实时识别和预警系统对桥梁至关重要.
研究的目的:
- 开发一种用于VIV识别,警告和可视化的自动方法.
- 为了解决现有的VIV识别技术的局限性.
- 为桥梁州长提供一个工具,以快速确认VIV结果.
主要方法:
- 使用复制图表进行信号分析,以提取时间域振动特征.
- 引入一个"反复循环平滑度"指数来量化振动稳定性.
- 基于振动振幅严重度的自动VIV识别和多层次警告过程的开发.
主要成果:
- 拟议的方法成功地在悬架桥上自动识别VIV,无需人工干预.
- 使用图表可视化识别结果,有助于快速确认.
- 多级预警系统有效地提醒严重的VIV,并为大幅度的VIV提供早期警告.
结论:
- 开发的方法为桥梁中的VIV检测和预警提供了准确和自动化的解决方案.
- 可视化组件显著提高了VIV识别结果的可用性.
- 这种方法通过提供关于VIV事件的及时和明确信息来提高桥梁安全.
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