Department of Civil and Environmental Engineering, Gachon University, Seongnam-si 13120, Korea.
School of Architecture, Soongsil University, Seoul 06978, Korea.
Sensors (Basel). 2022 Sep 16;22(18):7030. doi: 10.3390/s22187030.
A recently developed contactless ultrasonic testing scheme is applied to define the optimal saw-cutting time for concrete pavement. The ultrasonic system is improved using wireless data transfer for field applications, and the signal processing and data analysis are proposed to evaluate the modulus of elasticity of early-age concrete. Numerical simulation of leaky Rayleigh wave in joint-half space including air and concrete is performed to demonstrate the proposed data analysis procedure. The hardware and algorithms developed for the ultrasonic system are experimentally validated with a comparison of saw-cutting procedures. In addition, conventional methods for the characterization of early-age concrete, including pin penetration and maturity methods, are applied. The results demonstrated that the developed wireless system presents identical results to the wired system, and the initiation time of leaky Rayleigh wave possibly represents 5% of raveling damage compared to the optimal saw cutting. Further data analysis implies that saw-cutting would be optimally performed at approximately 11.5 GPa elastic modulus of concrete obtained by the wireless and contactless ultrasonic system.
最近开发的一种非接触式超声波检测方案被应用于确定混凝土路面的最佳锯切时间。为了进行现场应用,对超声波系统进行了改进,使用了无线数据传输,并且提出了信号处理和数据分析方法来评估早期混凝土的弹性模量。对包括空气和混凝土在内的节一半空间中的泄漏瑞利波进行了数值模拟,以验证所提出的数据分析程序。利用与锯切过程的比较,对超声系统的硬件和算法进行了实验验证。此外,还应用了传统的早期混凝土特性描述方法,包括针入度和成熟度方法。结果表明,所开发的无线系统与有线系统具有相同的结果,并且与最佳锯切相比,泄漏瑞利波的起始时间可能代表了 5%的剥落损伤。进一步的数据分析表明,通过无线和非接触式超声系统获得的混凝土弹性模量约为 11.5 GPa 时,锯切效果最佳。