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基于智能钢筋网络的结构健康监测 被引量:1

THE STRUCTURAL HEALTH MONITORING USING THE PZT SMART REBAR NETWORK
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摘要 针对混凝土结构中常见的裂缝损伤,通过以智能钢筋为基础的监测网络,模拟梁柱节点设计制作并分析智能钢筋网络的十字型混凝土试件。实验结果表明,智能钢筋的输出信号受裂缝与通路的相对空间位置有关:穿过裂缝的探测通路信号削弱,靠近裂缝的通路信号反射波段增强;根据输出信号类型结合试件中通路的空间位置可以判断裂缝的位置。 Utilizing the monitoring network of smart rebar, cross-shaped concrete specimens which simulates beam-column joints are designed and analyzed for common cracks in concrete structures. Experimental results show that the output signal is related to spatial positions of the crack and the detection path : the signal that detection paths go through cracks is weakened, while the signal that detection paths not go through cracks is strengthened in reflected wave. According to the type of output signal and spatial location of detection path the location of damage can be determined.
作者 殷栎淮 吴凡
机构地区 上海交通大学
出处 《低温建筑技术》 2017年第3期22-25,共4页 Low Temperature Architecture Technology
基金 国家自然基金项目(NSFC-51278300和NSFC-61227071) 深圳科创委基金项目(CXZZ20140508140740862)
关键词 导向波 智能钢筋网络 混凝土 主动监测 裂缝损伤 guided-wave smart rebar network concrete active monitoring crack damage
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