摘要
通过正交试验数据,采用SVM非线性智能信息分析方法,研究混凝土的氯离子扩散系数与混凝土配合比6个参数之间的非线性映射关系,建立了混凝土抗渗性能评估的智能信息模型,该研究成果可以减少混凝土试配次数,节约大量的人力、物力和时间,为高性能混凝土的研究发展奠定了基础。结果表明此模型的可靠度很高,可以用于混凝土渗透性的设计及评估。
Concrete permeability have a direct impact on its durability,and the tradition test consume large amount of time surely.According orthogonal test data,the relationship between the chloride diffusion coefficient and six parameters on the impermeable performance was presented.Based on SVM nonlinear analysis method,a intelligent information analysis of nonlinear SVM method,an artificial intelligence information model for predicting impermeability of concrete was established.Result indicates that projection pursuit regression model is reliable enough to concrete＇s virtual design.
出处
《混凝土》
CAS
CSCD
北大核心
2010年第12期35-36,50,共3页
Concrete
关键词
正交试验
氯离子扩散系数
SVM非线性分析
智能信息模型
orthogonal test
chloride ion diffusion coefficient
SVM nonlinear analysis
artificial intelligent information model
