根据先进的监测MEMS和数据驱动的结构损伤检测,在预应力混凝土梁中识别肌异常
Giorgio de Alteriis1, Giulio Mariniello2, Tommaso Pastore2
1Department of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy.
Sensors (Basel, Switzerland)
|January 11, 2025
概括
本研究引入了一种新的基于振动的损伤检测方法,使用MEMS传感器进行结构健康监测 (SHM). 该技术可以准确地识别结构损伤,即使有前应力损失,并且可以精确地确定其位置.
科学领域:
- 土木工程 土木工程是指土木工程.
- 结构健康监测 (SHM) 是一种结构健康监测.
- 振动分析 振动分析
背景情况:
- 国家对土木工程的评估需要先进的损害识别方法.
- 模态参数 (自然频率,模态形状) 是不变的,并且对结构损伤具有全球敏感性.
- 微电机系统 (MEMS) 传感器为大型基础设施的长期结构维护提供了潜力.
研究的目的:
- 提出一种异常检测技术,用于识别结构损伤,特别是肌前压力损失.
- 使用带有高性能MEMS传感器的分布式监控系统进行损坏检测.
- 在实验数据上验证方法,并评估其对损害定位的能力.
主要方法:
- 在统计框架内分析原始顺序数据的异常检测技术.
- 部署一个带有六个高性能MEMS传感器的分布式监控系统.
- 第一个模式的自然频率的初步评估和验证使用加速数据从一个240厘米的光束在三个损坏配置下.
主要成果:
- 拟议的系统成功地检测到造成压力损失的损坏.
- 在识别光束上的损坏配置时,实现了高检测精度.
- 该方法证明了评估损害局部化的能力.
结论:
- 开发的异常检测技术有效地使用MEMS传感器和振动数据识别结构损伤.
- 该系统对长期结构健康监测和大规模基础设施的维护充满希望.
- 该方法能够定位损坏的能力提高了其在土木工程中的实际适用性.
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