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Computer vision‐based monitoring of the 3‐D structural deformation of an ancient structure induced by shield tunneling construction
Structural Control and Health Monitoring ( IF 4.6 ) Pub Date : 2021-01-13 , DOI: 10.1002/stc.2702
Xiao‐Wei Ye 1, 2 , Tao Jin 2 , Peng‐Peng Ang 2 , Xue‐Cheng Bian 1, 2 , Yun‐Min Chen 1, 2
Affiliation  

Shield tunneling is an efficient method of the tunnel construction for the system of underground transportation, but it will disturb the surrounding soil and affect the security of nearby structures. The monitoring for deformation of the structures influenced by the tunneling construction is crucial for structural safety evaluation, especially for the ancient structures. The computer vision‐based structural deformation monitoring approach is a newly developed method that has advantages such as, long‐distance, noncontact, and so on, which provides a promising tool for deformation monitoring of ancient structures. This study applied a computer vision‐based method for field monitoring of three‐dimensional (3‐D) deformation of an ancient tower under the influence of shield tunneling. The target‐free strategy was adopted to eliminate the need for installation of artificial makers on the surface of the tower. The environmental factors during the long‐term monitoring were discussed, especially the influence of temperature variation. Background modification was employed to reduce the error induced by the microchange of camera position. The long‐term 3‐D deformations of the ancient tower including vertical settlement and horizontal deformation in two directions during the shield tunneling construction were obtained. The results indicate that the proposed computer vision‐based method offers an efficient and cost‐effective approach to monitor the 3‐D deformation of the ancient structure and further for structural safety evaluation.

中文翻译:

基于计算机视觉的盾构施工引起的古建筑3D结构变形的监测

盾构隧道是地下运输系统中隧道施工的一种有效方法,但它会干扰周围的土壤并影响附近建筑物的安全性。监测受隧道施工影响的结构变形对于结构安全性评估至关重要,特别是对于古老的结构而言。基于计算机视觉的结构变形监测方法是一种新开发的方法,具有远距离,非接触等优点,为古代结构的变形监测提供了有希望的工具。这项研究采用基于计算机视觉的方法对盾构隧道影响下的古塔的三维(3D)变形进行现场监测。采取了无目标策略,从而消除了在塔架表面安装人造设备的需求。讨论了长期监测过程中的环境因素,尤其是温度变化的影响。采用背景修改以减少由相机位置的微变化引起的误差。获得了盾构施工期间古塔的长期3D变形,包括垂直沉降和两个方向的水平变形。结果表明,所提出的基于计算机视觉的方法为监测古代结构的3D变形并进一步进行结构安全性评估提供了一种有效且具有成本效益的方法。讨论了长期监测过程中的环境因素,尤其是温度变化的影响。采用背景修改以减少由相机位置的微变化引起的误差。获得了盾构施工期间古塔的长期3D变形,包括垂直沉降和两个方向的水平变形。结果表明,所提出的基于计算机视觉的方法为监测古代结构的3D变形并进一步进行结构安全性评估提供了一种有效且具有成本效益的方法。讨论了长期监测过程中的环境因素,尤其是温度变化的影响。采用背景修改以减少由相机位置的微变化引起的误差。获得了盾构施工期间古塔的长期3D变形,包括垂直沉降和两个方向的水平变形。结果表明,所提出的基于计算机视觉的方法为监测古代结构的3D变形并进一步进行结构安全性评估提供了一种有效且具有成本效益的方法。获得了盾构施工期间古塔的长期3D变形,包括垂直沉降和两个方向的水平变形。结果表明,所提出的基于计算机视觉的方法为监测古代结构的3D变形并进一步进行结构安全性评估提供了一种有效且具有成本效益的方法。获得了盾构施工期间古塔的长期3D变形,包括垂直沉降和两个方向的水平变形。结果表明,所提出的基于计算机视觉的方法为监测古代结构的3D变形并进一步进行结构安全性评估提供了一种有效且具有成本效益的方法。
更新日期:2021-03-11
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