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| 基于神经网络方法的碳纤维布加固混凝土梁承载力计算 | |
| 引用本文： | 杨勇新,王敬,岳清瑞,张宁,阳涛.基于神经网络方法的碳纤维布加固混凝土梁承载力计算[J].工业建筑,2002,32(4):1-5. |
| 作者姓名： | 杨勇新 王敬 岳清瑞 张宁 阳涛 |
| 作者单位： | 1. 清华大学,北京,100084 2. 郑州大学,郑州,450002 3. 国家工业建筑诊断与改造工程技术研究中心,北京,100088 |
| 基金项目： | 国家“九五”重点科技攻关项目 (项目号 :96 A14 0 4 0 3 ) |
| 摘 要： | 通过试验资料分析 ,建立了基于神经网络方法的碳纤维布加固混凝土梁受弯承载力预测的BP算法结构模型 ,通过模型预测值与试验结果的比较 ,证明了该模型的有效性和精度可以用于预测碳纤维布加固混凝土梁的受弯承载力。最后 ,对其影响因素进行了初步分析 |
| 关 键 词： | 碳纤维布 混凝土梁 神经网络 承载力 |
| 修稿时间： | 2001年10月20 |
BEARING CAPACITY OF RC BEAMS STRENGTHENED WITH CARBON FIBER SHEETS BASED ON NEURAL NETWORK ALGORITHMS |
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| Yang Yongxin.BEARING CAPACITY OF RC BEAMS STRENGTHENED WITH CARBON FIBER SHEETS BASED ON NEURAL NETWORK ALGORITHMS[J].Industrial Construction,2002,32(4):1-5. | |
| Authors: | Yang Yongxin |
| Affiliation: | Yang Yongxin(Tsinghua University\ Beijing\ 100084)\ \ Wang Jing(Zhengzhou University\ Zhengzhou\ 450002) Yue Qingrui\ Zhang Ning\ Yang Tao(National Engineering Technology Research Center of Industrial Building Diagnosis and Rehabilitation\ Beijing\ 10008 |
| Abstract: | A forecasting model of bearing capacity in bending of RC beams with carbon fiber sheets by BP algorithms of Neural Network(NN) has been established and trained based on example patterns from published experimental data in this paper.The validity and forecasting precision of the model has been proved by contrasting predictions and test results.Finally,an initial analysis of the influencing factors has also been done. |
| Keywords: | carbon fiber sheets\ RC beams\ neural network\ bearing capacity |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |