Dispersion of ultrasonic surface waves in a steel–epoxy–concrete bonding layered medium based on analytical, experimental, and numerical study

Yang Shen , Sohichi Hirose , Yuya Yamaguchi
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引用次数: 21

Abstract

The epoxy-bonded steel plate strengthening method has been widely applied in retrofitting reinforced concrete structures. However, using epoxy as the adhesive will bring deterioration due to its aging and delamination. Ultrasonic Nondestructive Evaluation (NDE) is an advantaged approach to detect the delamination or the bonding quality of the layered medium. The elastic property of the adhesive material can also be estimated properly by obtaining the phase velocity of surface wave through NDE test. This research proposes an approach to estimate the elastic property of epoxy layer in a steel–epoxy–concrete bonding layered medium. By solving dispersion equations, the analytical dispersion curves are plotted. Then the influence factors to the modes and shapes of those dispersion curves are discussed. An ultrasonic NDE test on a specimen is conducted, by which the relation between phase velocity and frequency is obtained. Through inversion process, the elastic property of epoxy layer is estimated. Based on the estimated elastic constants, a numerical study of steel–epoxy–concrete layered medium is also conducted using Explicit Finite Element Method, from which the numerical dispersion curves are obtained. Through analytical, experimental, and numerical studies, the dispersion property of surface waves in the layered medium is well understood.

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基于分析、实验和数值研究的超声表面波在钢-环氧树脂-混凝土粘结层状介质中的弥散
环氧结合钢板加固法在钢筋混凝土结构加固中得到了广泛的应用。然而,使用环氧树脂作为粘合剂会因其老化和分层而导致劣化。超声无损检测(NDE)是检测层状介质分层或粘合质量的一种有利方法。通过无损检测获得表面波相速度,也可以较好地估计粘接材料的弹性性能。本研究提出了一种估算钢-环氧-混凝土层状粘结介质中环氧层弹性性能的方法。通过求解色散方程,绘制了解析色散曲线。然后讨论了色散曲线模式和形状的影响因素。对试样进行了超声无损检测,得到了相速度与频率的关系。通过反演工艺,估计了环氧树脂层的弹性性能。在估计弹性常数的基础上,采用显式有限元法对钢-环氧树脂-混凝土层状介质进行了数值研究,得到了数值色散曲线。通过分析、实验和数值研究,对层状介质中表面波的频散特性有了较好的认识。
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Contents Editorial Board Editorial Board Contents Comparison of surface-based and image-based quality metrics for the analysis of dimensional computed tomography data
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