With the construction and development of intelligent roads, an increasing number of sensors are being embedded into the road structures. Portland cement concrete (PCC) pavement is one of the main forms of road pavement, but the mechanical behaviors of the PCC pavement with sensor embedding are less studied. In this study, the damage mechanism of PCC pavement is investigated by using the three-point beam bending test, considering the sensor embedding and the coating of the sensor surface. The effect of sensor embedding on the flexural mechanical properties and the damage failure modes of concrete beams are evaluated by using the acoustic emission (AE) technique and the digital image correlation (DIC) technique. Moreover, the concept of degree of coupling () is introduced to reveal the collaborative bearing mechanism between sensor and concrete, and is characterized by an evaluation model considering ultimate bearing capacity, critical instability point, collaborative bearing capacity, AE ring counts, and AE energy. The findings can provide valuable insights in the packaging design of sensor to guarantee the coupling between the sensor and the surrounding concrete for accurately monitoring the long-term performance of road infrastructure.

中文翻译：

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利用声发射和数字图像相关技术对埋置传感器的混凝土梁损伤进行实验研究

随着智能道路的建设和发展，越来越多的传感器被嵌入到道路结构中。波特兰水泥混凝土（PCC）路面是道路路面的主要形式之一，但埋设传感器的PCC路面的力学行为研究较少。本研究采用三点梁弯曲试验，考虑传感器嵌入和传感器表面涂层，研究PCC路面的损伤机理。利用声发射（AE）技术和数字图像相关（DIC）技术评估传感器嵌入对混凝土梁弯曲力学性能和损伤失效模式的影响。此外，引入耦合度（）的概念来揭示传感器与混凝土之间的协同承载机制，并建立了考虑极限承载力、临界失稳点、协同承载力、AE环数和AE能量的评估模型。 。这些发现可以为传感器的封装设计提供有价值的见解，以保证传感器与周围混凝土之间的耦合，从而准确监测道路基础设施的长期性能。