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An exploratory experimental and 3D numerical investigation on the effect of porosity on wave propagation in cement paste

机译:孔隙率对水泥膏中波传播影响的探索性实验和三维数值研究

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摘要

Piezoelectric transducers have been widely employed in the field of structural health monitoring (SHM). Currently, most piezoelectric transducers based non-destructive monitoring method lays basis on wave-based method. The change of wave after propagating in the target medium can reflect the internal state of the structure, such as damage and porosity. Owing to that concrete is a severely heterogeneous material at micro scale, the relationship between stress wave parameters and microstructure of concrete such as pores and preexisting cracks in concrete is still unclear, which limits the generalization of monitoring system in different concrete structures. This paper presents an experimental study by setting up a kind of monitoring platform with piezoelectric transducers to investigate the relationship between porosity in cement paste and stress wave parameters. Meanwhile, 3D models of cement paste specimens were built with X-ray computed tomography (CT) scanning method, and the actual pore structure and distribution inside the specimens were obtained. The test and numerical results share similar decreasing trend of amplitude and velocity with an increment of porosity. It indicates that the proposed 3D model building method provides a vivid way to investigate the influence of microstructure on stress wave transferring in cement based materials. Additionally, it also provides a promising approach to assess the porosity in cementitious materials using smart aggregate (SA)-based non-destructive monitoring method.
机译:压电换能器已广泛用于结构健康监测(SHM)领域。目前,大多数基于压电传感器的非破坏性监测方法奠定了基于波的方法。在目标介质中传播之后波的变化可以反映结构的内部状态,例如损坏和孔隙率。由于该混凝土是微量规模的严重异质材料,因此诸如混凝土中的孔和预先存在的裂缝的应力波参数和混凝土微观结构之间的关系仍然不明确,这限制了不同混凝土结构中监测系统的概括。本文通过建立一种具有压电传感器的监控平台来展示一种实验研究,以研究水泥浆料中孔隙率与应力波参数之间的关系。同时,采用X射线计算断层扫描(CT)扫描方法构建了三维水泥浆料标本的模型,并获得了试样内部的实际孔结构和分布。测试和数值结果份额较为类似的振幅和速度呈孔隙率的趋势。它表明,所提出的3D模型建筑方法提供了一种生动的方式来研究微观结构对水泥基材料应力波转移的影响。另外,它还提供了一种希望使用智能聚集体(SA)的无损监测方法评估水泥材料中的孔隙率。

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