基于BP神经网络预测高强钢筋与高强混凝土的粘结锚固强度  

Bond-anchorage Strength of High-strength Bars and High-strength Concrete Based on BP Neural Network

作　　者：王希伟 杨勇新[2] 

机构地区：[1]深圳市建筑科学研究院有限公司,深圳518049 [2]中冶集团建筑研究总院,北京100088

出　　处：《广东土木与建筑》2010年第9期37-39,42,共4页Guangdong Architecture Civil Engineering

摘　　要：应用Matlab语言及其神经网络工具包,通过BP神经网络对高强钢筋与高强混凝土间的粘结锚固强度进行模拟和预测,结果表明该法能较准确地预测高强混凝土间的粘结锚固强度。This paper adopts Matlab language and its ANN toolbox,with BP（Back-Propagation Network） neural network,to simulate and forecast the bond and anchorage ability of high-strength bars and high-strength concrete. As a result,the method can exactly forecast the bond and anchorage ability of high-strength bars and high-strength concrete.

关 键 词：神经网络 高强钢筋 高强混凝土 

分 类 号：TU365[建筑科学—结构工程]