污水反应池的混凝土耐久性分析预测 |
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引用本文: | 赵建昌,刘廷滨,张洪杰.污水反应池的混凝土耐久性分析预测[J].路基工程,2011,0(1):8-11. |
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作者姓名: | 赵建昌 刘廷滨 张洪杰 |
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作者单位: | 1.兰州交通大学土木工程学院, 兰州 730070 |
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基金项目: | 甘肃省建设厅科技攻关项目(JK2007-35) |
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摘 要: | 根据现场工程检测及理论分析,确认了影响城市污水环境下混凝土耐久性的主要因素。提出用污水指标来定量预测城市污水环境下混凝土耐久性的方法。利用BP神经网络建立了在多因素影响下混凝土劣化程度的预测模型,用实际检测到的初沉池数据对二沉池混凝土的劣化程度进行预测。在污水指标与混凝土耐久性指标之间建立了较为准确的定量关系。
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关 键 词: | 污水环境 混凝土耐久性 BP神经网络 预测 |
收稿时间: | 2019-11-10 |
Analysis and Prediction of Concrete Durability in Sewage Reaction Tank |
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Authors: | ZHAO Jian-chang LIU Ting-bin ZHANG Hong-jie |
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Institution: | ZHAO Jian-chang1,2,LIU Ting-bin1,ZHANG Hong-jie3(1.School of Civil Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China,2.Gansu Engineering Technology Research Center for Building Durability Diagnosis and Treatment,Lanzhou 730020,3.School of Environment and Life,Dalian University of Technology,Dalian 116024,Liaoning,China) |
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Abstract: | According to site engineering detection and theoretical analysis,the main factors influencing concrete durability in urban sewage environment are confirmed.This paper puts forward the method to quantitatively predict concrete durability in urban sewage environment with sewage indicators.The prediction model of concrete deterioration under the influence of multiple factors is established using BP neural networks to predict the degree of concrete deterioration in secondary sedimentation tank with the detected... |
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Keywords: | sewage environment concrete durability BP neural network prediction |
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