东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2005, Vol. 26 ›› Issue (1): 296-298.DOI: -

• 论著 • 上一篇    下一篇

基于BP网络的HSRC节点骨架曲线的预测

徐亚丰;贾连光;王连广;梁力   

  1. 东北大学资源与土木工程学院;沈阳建筑大学土木工程学院;东北大学资源与土木工程学院;东北大学资源与土木工程学院 辽宁沈阳　110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2005-01-15 发布日期:2013-06-24
  • 通讯作者: Xu, Y.-F.
  • 作者简介:-
  • 基金资助:
    辽宁省自然科学基金资助项目(2001101012);;

Forecast based on BP network for P-Δ curves generated from joints of a steel reinforced high-strength concrete frame

Xu, Ya-Feng (1); Jia, Lian-Guang (2); Wang, Lian-Guang (1); Liang, Li (1)   

  1. (1) Sch. of Resources and Civil Eng., Northeastern Univ., Shenyang 110004, China; (2) Sch. of Civil Eng., Shenyang Jianzhu Univ., Shenyang 110068, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2005-01-15 Published:2013-06-24
  • Contact: Xu, Y.-F.
  • About author:-
  • Supported by:
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摘要： 结合5个在低周期反复荷载作用下的钢骨高强混凝土柱/钢筋高强混凝土梁框架节点的试验研究,描绘了节点的骨架曲线·利用神经网络的原理,通过建立神经网络的输入层、隐含层、输出层,确定输入单元、输出单元和隐含层节点数,从而建立了神经网络的模型,并根据已有的一些数据,对网络进行训练,使其具有分析和判断的功能,从而对钢骨高强混凝土框架节点的骨架曲线进行了预测·结果表明,这种方法是可行的·

关键词: 钢骨高强混凝土柱, 钢筋高强混凝土梁, 框架节点, 骨架曲线, BP网络

Abstract: Based on the testing results of 5 joints at a steel reinforced high-strength concrete column/reinforced high-strength concrete girder frame, some P-▵ curves have been generated under the action of low-frequency cyclic load. Based on the principle of BP neural network, a model is developed by way of setting up the input, implicit and output layers with input and output cells and number of nodes or joints of implicit level all determined. Then, the network is trained up according to some given data to enable it to serve the functions of analysis and judgement so as to forecast the P-Δ curves generated from the joints of a steel reinforced high-strength concrete frame. The results show the feasibility of the method proposed.

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