基于BP神经网络的方钢管粉煤灰混凝土极限承载力预测  

Prediction of ultimate bearing capacity of fly ash concrete-filled square steel tube based on BP neural network

作　　者：张扬[1,2] 李四平[1] 赵社戌[1] 

机构地区：[1]上海交通大学船舶海洋与建筑工程学院,上海200240 [2]南阳理工学院土木工程系,河南南阳473004

出　　处：《混凝土》2012年第11期28-29,44,共3页Concrete

基　　金：国家自然科学基金(50978162)

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.

关 键 词：BP神经网络 方钢管粉煤灰混凝土 极限承载力 预测 

分 类 号：U528.01[交通运输工程]