摘要
机敏网裂缝监测传感技术模拟人类神经系统的感知机理,可对混凝土结构表面裂缝进行有效监测。针对斜拉桥索塔结构不同宽度裂缝的监测需要,基于机敏网传感器,提出了一种对初始裂缝发生发展及宽度监测的方法。大量实验证明改进后的机敏网传感器能够监测到混凝土结构表面不同开裂程度的裂缝及其扩展情况,根据不同型号漆包线的断裂对初始裂缝宽度进行判断。应用改进后的机敏网传感器,在桥梁索塔监测中及时发现了裂缝的发生发展情况和开裂程度,保障了桥梁安全。
Smart film crack monitoring technology, which simulates the perceptual mechanism of human nervous system, is able to detect cracks of concrete structures. Based on smart film sensor, a crack monitoring method is proposed for detecting the developing trend and width of initial cracks appearing on the towers of cable-stayed bridges. Experiments verify the ability of the improved smart film sensor for monitoring different width cracks in the surface of concrete structure and their developing trend. The width of initial cracks is judged according to the breakage of enameled copper wires with different diameters. The improved smart film sensors were applied to a real bridge, and the crack occurrence, developing trend and crack extent of some cracks in the concrete structure of the bridze were found in time.
出处
《现代电子技术》
2013年第6期145-149,共5页
Modern Electronics Technique
基金
重庆高校优秀成果转化项目资助(KJ-ZH11203)
山区桥梁与隧道工程国家重点实验室培育基地(重庆交通大学)开放基金资助项目
桥梁结构工程交通行业重点实验室(重庆)开放基金资助项目(CQSLBF-Y12-6)
