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Pitch-Catch Guided Waves-Based Concrete Strength Monitoring Using an Embedded Smart Sensor Module

机译:使用嵌入式智能传感器模块监控基于音高引导波的混凝土强度

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摘要

During the construction of concrete structures, real-time monitoring for their strength development is very crucial to determine the structures' readiness for in-service. However, it is very hard to estimate the compressive strength of the concrete nondestructively and in real-time. To provide the solution for this limitation, this study proposes a guided wave-based concrete strength estimation system using an embedded smart sensor module system. Because the guided waves could not propagate clearly inside the concrete, an embedded smart sensor module system was developed by attaching two piezoelectric ceramic sensors on a thin steel plate that could provide a propagating path for the guided waves. Because the boundary condition of the steel plate is changed according to the variation of the concrete strength, the guided wave signal obtained from the piezoelectric sensors might be changed with a certain pattern affected by the boundary condition. Therefore, the strength of the concrete can be estimated by analyzing the pattern-variations of the guided wave signals. To confirm the feasibility of the proposed methodology, an experimental study using a concrete specimen with the aforementioned embedded smart sensor module system is carried out and the optimized strength estimation equation is derived throughout a regression analysis.
机译:在混凝土结构的建造过程中,实时监测其强度发展对于确定结构在使用中的准备情况至关重要。但是,很难无损且实时地估计混凝土的抗压强度。为了提供针对此限制的解决方案,本研究提出了一种使用嵌入式智能传感器模块系统的基于导波的混凝土强度估算系统。由于导波无法在混凝土内部清晰传播,因此通过在薄钢板上安装两个压电陶瓷传感器来开发嵌入式智能传感器模块系统,该系统可以为导波提供传播路径。因为钢板的边界条件根据混凝土强度的变化而变化,所以从压电传感器获得的导波信号可能以受边界条件影响的特定模式变化。因此,可以通过分析导波信号的模式变化来估计混凝土的强度。为了证实所提出方法的可行性,进行了使用带有上述嵌入式智能传感器模块系统的混凝土样本进行的实验研究,并在整个回归分析中得出了优化的强度估算方程。

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