| 氯盐侵蚀钢筋混凝土锈胀开裂监测及预测方法 |
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| 引用本文： | 毛江鸿,陈佳芸,崔磊,何勇,金伟良,夏晋,许晨.氯盐侵蚀钢筋混凝土锈胀开裂监测及预测方法[J].建筑材料学报,2016,19(1):59-64. |
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| 作者姓名： | 毛江鸿 陈佳芸 崔磊 何勇 金伟良 夏晋 许晨 |
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| 作者单位： | 浙江大学宁波理工学院土木工程研究所,浙江宁波315100,浙江大学结构工程研究所,浙江杭州310058,浙江大学宁波理工学院土木工程研究所,浙江宁波315100,浙江大学结构工程研究所,浙江杭州310058,浙江大学宁波理工学院土木工程研究所,浙江宁波315100,浙江大学结构工程研究所,浙江杭州310058,浙江大学结构工程研究所,浙江杭州310058 |
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| 基金项目： | 国家自然科学基金资助项目（51408544，51208459）；浙江省自然科学基金资助项目（LQ14E080007）；宁波市自然科学基金资助项目（2013A610191）；宁波市科技创新团队项目（2011B81005）；宁波市科技服务业示范项目（2014F10016） |
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| 摘 要： | 采用分布式光纤传感技术(BOTDA)和时间序列分析相结合的方法,对钢筋混凝土锈胀开裂程度进行监测和预测,并通过通电加速锈蚀试验对该方法进行有效性验证.结果表明:分布式光纤传感技术可稳定、准确地获取混凝土的锈胀信息,同时结合时间序列分析方法可有效预测混凝土锈裂时间和位置.
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| 关 键 词： | 钢筋混凝土 锈蚀 光纤传感 时间序列 预测 |
| 收稿时间： | 2014/8/22 0:00:00 |
| 修稿时间： | 2014/9/22 0:00:00 |
Monitoring and Predicting Method for Reinforced Concrete Expansion and Cracking Induced by Chloride Erosion |
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| MAO Jianghong,CHEN Jiayun,CUI Lei,HE Yong,JIN Weiliang,XIA Jin and XU Chen.Monitoring and Predicting Method for Reinforced Concrete Expansion and Cracking Induced by Chloride Erosion[J].Journal of Building Materials,2016,19(1):59-64. |
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| Authors: | MAO Jianghong CHEN Jiayun CUI Lei HE Yong JIN Weiliang XIA Jin and XU Chen |
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| Affiliation: | Institute of Civil Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China,Institute of Structural Engineering, Zhejiang University, Hangzhou 310058, China,Institute of Civil Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China,Institute of Structural Engineering, Zhejiang University, Hangzhou 310058, China,Institute of Civil Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo 315100, China,Institute of Structural Engineering, Zhejiang University, Hangzhou 310058, China and Institute of Structural Engineering, Zhejiang University, Hangzhou 310058, China |
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| Abstract: | Based on distributed optical fiber sensing technology and time series analysis, a method for predicting reinforced concrete expansion and cracking was proposed. The availability of this method was approved by electrical accelerated corrosion experiment. The results show that the distributed optical fiber sensing technology could acquire the concrete expansion and cracking information steadily and effectively. Moreover, the exact cracking moment and position could also be predicted precisely by using time series analysis. |
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| Keywords: | reinforced concrete corrosion optical fiber sensor time series prediction |
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