[1]李清富,邓宇,杜卫兵..碳纤维布加固钢纤维混凝土梁的抗弯性能预测[J].郑州大学学报(工学版),2004,25(04):1-3.[doi:10.3969/j.issn.1671-6833.2004.04.001]
　LI Qingfu,DENG Yu,Du Weibing.Prediction of bending performance of carbon fiber reinforced steel fiber concrete beams with carbon fiber cloth[J].Journal of Zhengzhou University (Engineering Science),2004,25(04):1-3.[doi:10.3969/j.issn.1671-6833.2004.04.001]
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碳纤维布加固钢纤维混凝土梁的抗弯性能预测()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
25卷
期数:
2004年04期
页码:
1-3
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Prediction of bending performance of carbon fiber reinforced steel fiber concrete beams with carbon fiber cloth
作者:
李清富; 邓宇; 杜卫兵.
郑州大学环境与水利学院,河南,郑州,450002, 河南省水利科学研究所,河南,郑州,450003
Author(s):
LI Qingfu; DENG Yu; Du Weibing
关键词:
BP神经网络;  碳纤维布;  钢筋钢纤维混凝土梁;  抗弯承载力;  预测
Keywords:
DOI:
10.3969/j.issn.1671-6833.2004.04.001
文献标志码:
A
摘要:
在碳纤维布加固钢筋钢纤维混凝土梁中,加固效果要受到被加固结构本身性能、加固材料性能以及荷载情况等因素的影响,因此,加固效果具有极高的非线性.针对这一问题, 在试验研究的基础上,运用神经网络方法,以钢纤维混凝土强度、截面尺寸、纵向钢筋配筋率等10个变量作为输入单元,以加固梁的抗弯承载力作为输出单元,建立了预测加固梁抗弯承载力的BP神经网络模型.通过预测值与试验值的对比分析,验证了该模型的科学性和合理性.
Abstract:
In the reinforced steel fiber concrete beam reinforced by carbon fiber cloth, the reinforcement effect is affected by the performance of the reinforced structure itself, the performance of the reinforcement material and the load situation, so the reinforcement effect has a very high nonlinearity. In order to solve this problem, on the basis of experimental research, a BP neural network model for predicting the bending bearing capacity of reinforced beams is established by using the neural network method, taking 10 variables such as steel fiber concrete strength, section size, longitudinal reinforcement ratio as input units, and the bending bearing capacity of reinforced beams as output units. Through the comparative analysis of the predicted value and the experimental value, the scientificity and rationality of the model are verified.

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更新日期/Last Update: 1900-01-01