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基于人工神经网络的混凝土抗渗性能研究
引用本文:李君,赵文忠,王立军,闻宝联.基于人工神经网络的混凝土抗渗性能研究[J].浙江交通职业技术学院学报,2008,9(4):5-8.
作者姓名:李君  赵文忠  王立军  闻宝联
作者单位:1. 嘉兴市交通投资集团有限责任公司,浙江,嘉兴,314000
2. 河北省交通建设监理咨询有限公司,石家庄,050000
3. 天津市市政工程研究院,天津,300074
摘    要:混凝土抗渗性直接影响着混凝土的耐久性,为解决传统实验方法耗费大量时间的不足,文中提出用BP人工神经网络对多种配比的混凝土进行渗透性仿真计算。结果表明此模型的可靠度很高,可以用于混凝土渗透性的虚拟化设计。

关 键 词:人工神经网络  混凝土  抗渗性  设计

Research of Concrete Impermeability Resistance Based on Artificial Neural Networks
LI Jun,ZHAO Wen-zhong,WANG Li-jun,WEN Bao-Lian.Research of Concrete Impermeability Resistance Based on Artificial Neural Networks[J].Journal of Zhejiang Vocational and Technical Institute of Transportation,2008,9(4):5-8.
Authors:LI Jun  ZHAO Wen-zhong  WANG Li-jun  WEN Bao-Lian
Institution:LI Jun1,ZHAO Wen-zhong2,WANG Li-jun3,WEN Bao-Lian3 (1.Jiaxing Communication Investment Group Co.,Ltd,Jiaxing 314000,China,2.Hebei HighwayWaterway Engineering Consulting Co.,Shijiazhuang 050000,3.Tianjin Municipal Engineering Research Institude,Tianjin 300074,China)
Abstract:Concrete permeability have a direct impact on its durability,and the tradition test consume large amount of time surely.One kind of bionic model,ANNs(artificial neural networks),can solve this difficult problem very well,by means of BP ANNs,impermeability parameter of several concrete is simulated,result indicates that BP ANNs model is reliable enough to concrete's virtual design.
Keywords:artificial neural networks  concrete  impermeability  design  
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