| 基于神经网络方法的钢筋混凝土双筋植筋的锚固性能研究 |
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| 引用本文： | 张明,禹永哲,张伟斌.基于神经网络方法的钢筋混凝土双筋植筋的锚固性能研究[J].江苏建筑,2004(Z1):7-9. |
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| 作者姓名： | 张明 禹永哲 张伟斌 |
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| 作者单位： | 南京固强建筑技术有限公司,南京,210005 |
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| 摘 要： | 通过试验资料分析,建立了基于神经网络方法的钢筋混凝土双筋植筋的锚固性能预测的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钢筋混凝土双筋植筋的锚固性能,最后,对其影响因素进行了初步分析.
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| 关 键 词： | 钢筋混凝土 神经网络 植筋 锚固性能 |
| 文章编号： | 1005-6270(2004)SO-0007-03 |
| 修稿时间： | 2004年10月10 |
Research on Embedding Performance of Double Adhesive Anchors For RC Structures Based on Neural Network Algorithms |
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| ZHANG Ming YU Yong-zhe,ZHANG Wei-bin.Research on Embedding Performance of Double Adhesive Anchors For RC Structures Based on Neural Network Algorithms[J].Jiangsu Construction,2004(Z1):7-9. |
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| Authors: | ZHANG Ming YU Yong-zhe ZHANG Wei-bin |
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| Affiliation: | ZHANG Ming YU Yong-zhe ZHANG Wei-bin |
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| Abstract: | A forecasting model of embedding performance of double adhesive anchors for RC structres by BP algorithms of Neural Network has been established and trained based on example patterns fromexperimental data in another paper.The validity and forecasting precision of the model has beenproved by contrasting predictions and test results.Finally,an initial analysis of the influencing factors has also been done. |
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| Keywords: | RC neural network post-embedded bars anchorage behavior |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
