Exploring the Rayleigh wave propagation characteristics in different aggregate concrete models
XIANG Zhu-Bao1,2(), ZHANG Da-Zhou1,3(), ZHU De-Bing1,3, LI Ming-Zhi4, XIONG Zhang-Qiang3
1. National Engineering Research Center of High-speed Railway Construction Technology, Changsha 410075, China 2. China Railway Group Limited, Beijing 100039, China 3. Central South University, School of Geosciences and Info-physics, Changsha 410083, China 4. Guangxi Communications Design Group Co., Ltd. Nanning 530029, China
To avoid aggregate interference on the detection target in concrete quality detection by Rayleigh waves, the abnormal signals from the aggregate and the target should be distinguished for high detection reliability. Hence, this study explored the propagation characteristics of Rayleigh waves in aggregate concrete. By building the mesostructural random aggregate models and employing the high-order staggered-grid finite difference scheme, this study examined the effects of the randomness, shape, size, and content of aggregate on the Rayleigh wave field and dispersion curves, thus obtaining the Rayleigh wave scattering, energy attenuation, distortion, and dispersion curve characteristics under different aggregate parameters. Based on the forward modeling data of different aggregate concrete models, this study quantitatively analyzed the sizes and influence ranges of aggregate-induced anomalies of the Rayleigh wave field and dispersion curves. The results are as follows. The randomness and content of aggregate could affect the energy attenuation of direct Rayleigh waves. The Rayleigh wave field was slightly influenced by the aggregate shape but significantly impacted by the aggregate size. When the aggregate size exceeded half of the dominant wavelength, Rayleigh waves would produce strong scattering, distorting its waveforms. In contrast, these aggregate parameters caused no anomalies in the dispersion curves. Therefore, data analysis using dispersion curves can avoid aggregate interference on the target in concrete quality detection by Rayleigh waves.
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