Experimental Research on Monitoring Technology of Incisive Network

doi:10.3969/j.issn.1674-0696.2013.01.05

Journal of Chongqing Jiaotong University(Natural Science) ›› 2013, Vol. 32 ›› Issue (1): 18-22.DOI: 10.3969/j.issn.1674-0696.2013.01.05

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Experimental Research on Monitoring Technology of Incisive Network

Zhang Xu¹,Zhang Benniu²

1.School of Civil Engineering ＆ Architecture,Chongqing Jiaotong University,Chongqing 400074,China; 2.School of Information Science ＆ Engineering,Chongqing Jiaotong University,Chongqing 400074,China

Received:2012-02-28 Revised:2012-05-03 Online:2013-02-15 Published:2015-03-12

基于机敏网裂缝监测技术的实验研究

张旭¹，张奔牛²

1.重庆交通大学土木建筑学院，重庆400074;2.重庆交通大学信息科学与工程学院，重庆400074

作者简介:张旭(1984—)，男，湖北荆门人，硕士研究生，主要从事桥梁健康监测和工程力学方面的研究。E-mail:wayne8406@tom.com。
基金资助:
国家自然科学基金项目( 50808188) ; 重庆交通大学研究生教育创新基金项目〔2010( 上) 第6 号〕

Abstract

Abstract: A study on the monitoring mechanism of incisive network for bridge crack monitoring was conducted. First,the experiment for simulating the situation of the actual monitoring on crack width was carried out to get the experiment data on the relationship between crack width and residual elongation,and to get comparative result of shear-lag model to verify their validity and. Then,the effect of the monitoring system with result of crack monitoring for the actual bridge was verified,thus to establish a new monitoring indicators of cracks monitoring system on incisive network.

Key words: crack monitoring, incisive network, crack width, residual elongation

摘要： 对机敏网桥梁裂缝监测系统的监测机理展开研究。首先,模拟实际监测情况进行裂缝宽度监测实验研究,以获得监测到的裂缝宽度与残余伸长率对应关系的实验数据；然后,把实验结果与理论模型进行对比研究,验证其有效性；最后,结合实际桥梁工程的裂缝监测来验证系统的监测效果,从而建立一套机敏网裂缝监测系统的新型监测指标。

关键词: 裂缝监测, 机敏网, 裂缝宽度, 残余伸长率

CLC Number:

U446.2

Zhang Xu,Zhang Benniu. Experimental Research on Monitoring Technology of Incisive Network[J]. Journal of Chongqing Jiaotong University(Natural Science), 2013, 32(1): 18-22.

张旭，张奔牛. 基于机敏网裂缝监测技术的实验研究[J]. 重庆交通大学学报（自然科学版）, 2013, 32(1): 18-22.

References

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Zhou Zhixiang，Zhang Benniu.Structural to Crack the Bionic Monitoring System and it’s Monitoring Methods: China，ZL20081006 9808.X ［P］.2008-11-05．
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Zhang Benniu，Zhou Zhixiang，Mao Chenglin，et al.Neural Network Bionic Crack Sensor: China，ZL200620111072.4［P］.2007- 08-15．
[5]谭华，张开洪，张奔牛，等.桥梁裂缝监测系统研究与应用［J］．重庆建筑，2009，63( 1) : 9-12．
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GB 50010—2002 Code for Design of Concrete Structures［S］.Beijing: China Standard Press， 2002．
[8]张奔牛，张俊乾，黄尚廉.压电传感材料与结构的变形传递模型［J］.重庆大学学报: 自然科学版，2 000，23( 4) : 38-43．
Zhang Benniu，Zhang Junqian，Huang Shanglian.Deformation transfer in smart structures with integrated piezoceramic sensors［J］． Journal of Chongqing University: Natural Science，2000，23 ( 4) : 38-43．

Experimental Research on Monitoring Technology of Incisive Network

基于机敏网裂缝监测技术的实验研究

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