Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks
Performance assessment of prestressed concrete bridge girders using fiber optic sensors and artificial neural networks
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DOI：
10.1080/15732479.2020.1759658
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发表时间：
2020-05-16
影响因子：
3.7
通讯作者：
Murray, Cameron D.
中科院分区：
文献类型：
--
作者：
Khandel, Omid;Soliman, Mohamed;Murray, Cameron D.
结构健康监测（SHM）活动是必不可少的，以实现一个现实的表征桥梁结构的性能水平在整个使用寿命。这些活动可以帮助在可能发生组件或系统级结构故障之前检测结构损坏。除了在离散时间的应用外，SHM系统还可以在桥梁的整个使用寿命期间连续提供长期准确可靠的数据。与传统应变计相比，光纤传感器具有上级精度和长期耐用性，因此非常适合提取桥梁构件的精确实时应变和温度数据。本文提出了一种统计损伤检测和定位的方法来评估预应力混凝土桥梁的性能，使用光纤光栅传感器。所提出的方法采用人工神经网络建立在不同的传感器位置记录的应变分布之间的关系，在整个调查梁。该方法能够检测和定位传感器位置处的损坏的存在，而不需要详细的负载信息;因此，它可以适用于正常交通负载下的长期监测活动。从一个大型预应力混凝土桥梁的结构测试实验室数据被用来说明的方法。
Structural health monitoring (SHM) activities are essential for achieving a realistic characterisation of bridge structural performance levels throughout the service life. These activities can help detect structural damage before the potential occurrence of component- or system-level structural failures. In addition to their application at discrete times, SHM systems can also be installed to provide long-term accurate and reliable data continuously throughout the entire service life of a bridge. Owing to their superior accuracy and long-term durability compared to traditional strain gages, fiber optic sensors are ideal in extracting accurate real-time strain and temperature data of bridge components. This paper presents a statistical damage detection and localisation approach to evaluate the performance of prestressed concrete bridge girders using fiber Bragg grating sensors. The presented approach employs Artificial Neural Networks to establish a relationship between the strain profiles recorded at different sensor locations across the investigated girder. The approach is capable of detecting and localising the presence of damage at the sensor location without requiring detailed loading information; accordingly, it can be suitable for long-term monitoring activities under normal traffic loads. Experimental laboratory data obtained from the structural testing of a large-scale prestressed concrete bridge girder is used to illustrate the approach.