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。
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 data about primary sedimentation tank. Thus, the exact quantitative relation between sewage indicators and concrete durability indicators is established.
出处
《路基工程》
2011年第1期8-11,共4页
Subgrade Engineering
基金
甘肃省建设厅科技攻关项目(JK2007-35)
关键词
污水环境
混凝土耐久性
BP神经网络
预测
sewage environment
concrete durability
BP neural network
prediction