| 基于小波神经网络锈蚀钢筋强度预测研究 |
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| 引用本文： | 王磊,张建仁,金鹏飞.基于小波神经网络锈蚀钢筋强度预测研究[J].公路交通科技,2010,27(3). |
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| 作者姓名： | 王磊 张建仁 金鹏飞 |
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| 作者单位： | 1. 长沙理工大学,土木与建筑学院,湖南,长沙,410004
2. 奉化市凯远工程咨询有限公司,浙江,奉化,315500 |
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| 基金项目： | 国家自然科学基金资助项目(50908023);;交通运输部西部交通建设科技项目(200631800019);;湖南省应用基础重点项目(06FJ2008) |
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| 摘 要： | 为研究氯离子侵蚀和混凝土碳化综合作用下既有钢筋混凝土桥梁中锈蚀引起的钢筋屈服强度的退化,基于拆除两座旧桥主要承重构件中钢筋锈蚀影响因素的无损检测以及锈蚀钢筋拉伸试验,考虑混凝土碳化、氯离子侵蚀、保护层厚度以及混凝土强度等因素综合影响,利用小波神经网络在非线性建模中收敛迅速等优越性,提出了基于小波神经网络来预测既有钢筋混凝土桥梁中钢筋屈服强度方法。研究表明:锈蚀率较小情况下,锈蚀引起钢筋屈服强度的下降并不显著。该预测方法可以考虑不同环境对混凝土桥梁中钢筋锈蚀的综合影响,精度满足要求,具有较好的适用性。
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| 关 键 词： | 桥梁工程 钢筋屈服强度 小波神经网络 锈蚀 预测 |
Prediction of Strength of Corroded Reinforcement Based on Wavelet Neutral Network |
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| WANG Lei,ZHANG Jianren,JIN Pengfei.Prediction of Strength of Corroded Reinforcement Based on Wavelet Neutral Network[J].Journal of Highway and Transportation Research and Development,2010,27(3). |
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| Authors: | WANG Lei ZHANG Jianren JIN Pengfei |
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| Institution: | 1.School of Civil Engineering & Architecture;Changsha University of Science & Technology;Changsha Hunan 410004;China;2.Fenghua Kaiyuan Engineering Consultant Co.;Ltd.;Fenghua Zhejiang 315500;China |
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| Abstract: | To investigate the reinforcement yield strength degradation induced by corrosion under the penetration of chlorine ion and the concrete carbonation of existing reinforced concrete bridges,the nondestructive inspection on the influencing factors of reinforcement corrosion and the tension testing of the corroded reinforcement were performed during the experimental investigation of the main members from two decommissioned old bridges.Considering the influences of concrete carbonation,penetration of chlorine io... |
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| Keywords: | bridge engineering reinforcement yield strength wavelet neural network corrosion prediction |
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