基于计算机视觉的结构监测在土耳其长梁桥上的应用
Chuanzhi Dong1, Selcuk Bas1,2, Fikret Necati Catbas1
1Department of Civil, Environmental, and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
计算机视觉使得大型桥梁的非接触式结构位移监测成为可能,克服了实验室研究的局限性. 这项研究验证了该技术在土耳其主要悬浮桥上的有效性,显示了与传统方法相比准确的结果.
科学领域:
- 土木工程 土木工程是指土木工程.
- 计算机视觉 计算机视觉
- 结构健康监测 结构健康监测
背景情况:
- 对于大型民用结构来说,结构性迁移监测至关重要.
- 现有的计算机视觉方法通常仅限于实验室或小规模应用.
- 长跨度桥梁由于其规模和环境暴露而存在独特的监测挑战.
研究的目的:
- 展示计算机视觉的应用,用于长跨度吊桥的非接触式位移监测.
- 在现实世界,远程场景中评估该技术的准确性和可行性.
- 确定基于计算机视觉的桥梁监控的挑战和未来研究方向.
主要方法:
- 使用计算机视觉技术进行非接触式移位监测.
- 在三个主要的土耳其吊桥 (第一波斯波罗河,第二波斯波罗河,奥斯曼加齐) 上的应用.
- 与传统监控方法的验证以及在交通负载下进行有限元分析.
主要成果:
- 从距离高达1350米的距离成功实现了位移监测.
- 对位移和动态频率的计算机视觉结果与传统方法和FEA有很强的一致性.
- 证明了计算机视觉用于监控大规模,长跨度桥梁的可行性.
结论:
- 计算机视觉是长跨度桥梁结构健康监测的一个有希望的工具.
- 应对环境因素和算法选择等挑战是未来发展的关键.
- 这项研究为在桥梁工程中更广泛采用计算机视觉提供了基础.
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