Qi Baoxin, Kong Qingzhao, Qian Hui, Patil Devendra, Lim Ing, Li Mo, Liu Dong, Song Gangbing
College of Civil Engineering, Shenyang Jianzhu University, Shenyang 110168, China.
Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA.
Sensors (Basel). 2018 Feb 24;18(2):671. doi: 10.3390/s18020671.
Compared to conventional concrete, polyvinyl alcohol fiber reinforced engineering cementitious composite (PVA-ECC) offers high-strength, ductility, formability, and excellent fatigue resistance. However, impact-induced structural damage is a major concern and has not been previously characterized in PVA-ECC structures. We investigate the damage of PVA-ECC beams under low-velocity impact loading. A series of ball-drop impact tests were performed at different drop weights and heights to simulate various impact energies. The impact results of PVA-ECC beams were compared with mortar beams. A combination of polyvinylidene fluoride (PVDF) thin-film sensors and piezoceramic-based smart aggregate were used for impact monitoring, which included impact initiation and crack evolution. Short-time Fourier transform (STFT) of the signal received by PVDF thin-film sensors was performed to identify impact events, while active-sensing approach was utilized to detect impact-induced crack evolution by the attenuation of a propagated guided wave. Wavelet packet-based energy analysis was performed to quantify failure development under repeated impact tests.
与传统混凝土相比,聚乙烯醇纤维增强工程水泥基复合材料(PVA-ECC)具有高强度、延性、可成型性和优异的抗疲劳性。然而,冲击引起的结构损伤是一个主要问题,此前尚未在PVA-ECC结构中进行过表征。我们研究了PVA-ECC梁在低速冲击载荷下的损伤情况。进行了一系列不同落锤重量和高度的落球冲击试验,以模拟各种冲击能量。将PVA-ECC梁的冲击结果与砂浆梁进行了比较。采用聚偏二氟乙烯(PVDF)薄膜传感器和压电陶瓷基智能骨料相结合的方式进行冲击监测,包括冲击起始和裂纹扩展。对PVDF薄膜传感器接收到的信号进行短时傅里叶变换(STFT)以识别冲击事件,同时利用主动传感方法通过传播导波的衰减来检测冲击引起的裂纹扩展。进行基于小波包的能量分析以量化重复冲击试验下的破坏发展情况。