| 应力状态下混凝土受硫酸盐侵蚀深度的神经网络预测分析 |
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| 引用本文： | 潘丽云,武志刚,赵顺波.应力状态下混凝土受硫酸盐侵蚀深度的神经网络预测分析[J].华北水利水电学院学报,2008,29(5). |
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| 作者姓名： | 潘丽云 武志刚 赵顺波 |
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| 作者单位： | 华北水利水电学院,河南,郑州,450011;郑州机械工业第六设计研究院,河南,郑州,450007 |
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| 基金项目： | 河南省杰出青年科学基金
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河南省高校创新人才培养工程培养对象基金
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| 摘 要： | 基于BP神经网络算法,以硫酸盐侵蚀混凝土试验数据为训练样本,建立了考虑硫酸盐侵蚀溶液浓度、混凝土拉压应力水平和侵蚀时间等影响因素的硫酸盐侵蚀混凝土深度的内推与外推预测模型.经验证,该模型具有良好的预测效果,为混凝土受硫酸盐侵蚀的耐久性研究提供了一种有效方法.
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| 关 键 词： | 混凝土 硫酸盐侵蚀 侵蚀深度 BP神经网络 内推预测 外推预测 |
Neural Network Prediction of Sulfate Attack Depth of Concrete under Stress States |
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| PAN Li-yun,WU Zhi-gang,ZHAO Shun-bo.Neural Network Prediction of Sulfate Attack Depth of Concrete under Stress States[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2008,29(5). |
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| Authors: | PAN Li-yun WU Zhi-gang ZHAO Shun-bo |
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| Affiliation: | PAN Li-yun1,WU Zhi-gang2,ZHAO Shun-bo1(1.North China Institute of Water Conservancy , Hydroelectric Power,Zhengzhou 450011,China,2.Zhengzhou Machinery Industry No.6 Design , Research Institute,Zhengzhou 450007,China) |
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| Abstract: | Based on BP neural network algorithm,utilizing the experimental data of concrete under sulfate corrosion as the training samples,the models are proposed for inside and outside predicting the corrosion depth of concrete,which consider the influence factors of the concentration of sulfate radical in solution,the tensile and compressive stress levels of concrete and the corrosion time.It is verified that the proposed model is of well forecasting ability,and is a new method for durability study of concrete unde... |
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| Keywords: | concrete sulfate corrosion corrosion depth BP neural network inside predicting outside predicting |
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