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核心与表面传感器在钢筋混凝土结构中的应用比较:光纤应变传感与传统仪器的比较。

Core versus Surface Sensors for Reinforced Concrete Structures: A Comparison of Fiber-Optic Strain Sensing to Conventional Instrumentation.

机构信息

Institute of Mechanics, Materials and Civil Engineering, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium.

出版信息

Sensors (Basel). 2023 Feb 3;23(3):1745. doi: 10.3390/s23031745.

Abstract

High-resolution distributed reinforcement strain measurements can provide invaluable information for developing and evaluating numerical and analytical models of reinforced concrete structures. A recent testing campaign conducted at UCLouvain in Belgium used fiber-optic sensors embedded along several longitudinal steel rebars of three reinforced concrete U-shaped walls. The resulting experimental dataset provides an opportunity to evaluate and compare, for different types of loading, the strain measurements obtained with the fiber-optic sensors in the confined core of the structural member against more conventional and state-of-the-practice sensors that monitor surface displacements and deformations. This work highlights the need to average strain measurements from digital image correlation techniques in order to obtain coherent results with the strains measured from fiber optics, and investigates proposals to achieve this relevant goal for research and engineering practices. The longitudinal strains measured by the fiber optics also provide additional detailed information on the behavior of these wall units compared to the more conventional instrumentation, such as strain penetration into the foundation and head of the wall units, which are studied in detail.

摘要

高分辨率分布式应变测量可以为开发和评估钢筋混凝土结构的数值和分析模型提供非常有价值的信息。最近在比利时鲁汶大学进行的一项测试活动使用光纤传感器嵌入三个钢筋混凝土 U 型墙的几条纵向钢筋中。由此产生的实验数据集提供了一个机会,可以评估和比较不同类型的荷载下,从结构构件的约束核心中获得的光纤传感器的应变测量值与更传统和实际应用的传感器的应变测量值,后者监测表面位移和变形。这项工作强调了需要从数字图像相关技术中平均应变测量值,以便与从光纤测量的应变获得一致的结果,并研究了为研究和工程实践实现这一相关目标的建议。与更传统的仪器仪表相比,光纤测量的纵向应变还提供了这些墙单元行为的更多详细信息,例如应变渗透到墙单元的基础和头部,这些都进行了详细研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b1d/9919918/604734bf3ebc/sensors-23-01745-g001.jpg

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