摘要
通过创建BP神经网络模型,对方钢管粉煤灰混凝土轴心受压极限承载力进行了预测。结果表明:预测值与试验值吻合,建立的BP网络模型能够准确预测方钢管粉煤灰混凝土的极限承载力,具有较高的预测精度,为方钢管粉煤灰混凝土极限承载力的获得提供了一种新方法。
By creating a model based on BP neural network,prediction of ultimate bearing capacity of fly ash concrete-filled square steel tube concentrically loaded in compression was carded out.The predictive values dovetailed nicely with the experimental values.The BP neural network model could accurately forecast ultimate bearing capacity of fly ash concrete-filled square steel tube.The BP neural network model was of high precision and provided a new wayto get ultimate bearing capacity of fiy ash concrete-filled square steel tube.
出处
《混凝土》
CAS
CSCD
北大核心
2012年第11期28-29,44,共3页
Concrete
基金
国家自然科学基金(50978162)
关键词
BP神经网络
方钢管粉煤灰混凝土
极限承载力
预测
BP neural network
fly ash concrete-filled square steel tube
ultimate bearing capacity
prediction