基于视频的先进处理,以低成本评估地震负荷下的建筑物在摇摆表测试中的损害
Antonino Cataldo1, Ivan Roselli1, Vincenzo Fioriti1
1ENEA-Italian National Agency for New Technologies, Energy and Sustainable Economic Development, 00196 Rome, Italy.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究介绍了一种低成本的视频分析方法,用于检测地震造成的建筑损坏. 该技术使用运动放大器准确识别结构损伤位置和模态频率,提供简单,非接触的替代方案.
科学领域:
- 结构工程 结构工程
- 地震分析 - - 地震分析
- 非破坏性测试 不破坏性测试
背景情况:
- 评估建筑物的地震损害对于安全和基础设施弹性至关重要.
- 传统的损害评估方法可能昂贵且耗时.
- 需要先进的传感技术,以有效和准确的结构健康监测.
研究的目的:
- 探索一种低成本,先进的基于视频的技术,用于对建筑物的地震损害进行评估.
- 为了评估运动放大处理用于分析结构行为的有效性.
- 验证一种与传统的加速度计和光学标记系统相比的新方法.
主要方法:
- 在摇摆表测试期间,利用高速视频摄像机对钢筋混凝土框架建筑的运动放大.
- 从放大视频中分析了动态行为 (模态参数) 和结构变形.
- 用加速度计传感器,3D运动捕捉和3D激光扫描进行验证,对结果进行比较.
主要成果:
- 运动放大程序准确地估计了模态频率,并通过模态形状分析确定了损伤位置.
- 结果与加速计数据的高级分析一致.
- 该方法显示出用于提取模态参数和分析模态形状曲率的高潜力.
结论:
- 一个简单的,非接触式,低成本的基于视频的程序有效地评估地震结构损坏.
- 该技术提供了准确的模态参数提取,特别是模态形状曲率用于损坏定位.
- 这种方法为地震地区的结构健康监测提供了一个有希望的替代方案.
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