| CFRP筋夹板式锚具极限抗拔力的神经网络预测 |
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| 引用本文： | 叶勇,郭子雄,刘阳.CFRP筋夹板式锚具极限抗拔力的神经网络预测[J].华中科技大学学报(城市科学版),2011,28(3). |
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| 作者姓名： | 叶勇 郭子雄 刘阳 |
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| 作者单位： | 华侨大学土木工程学院.福建泉州362021 |
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| 基金项目： | 国家自然科学基金(51006133); 厦门市科技计划项目(3502Z20093029) |
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| 摘 要： | 基于人工神经网络原理,对20个CFRP筋夹板式锚具拉拔试验数据建立BP神经网络模型,分析锚固长度、螺栓总预紧力、螺栓数量、CFRP筋直径等参数对锚具极限抗拔力的影响.分析结果显示,训练好的神经网络模型可以较好地预测CFRP筋夹板式锚具的极限抗拔力.利用神经网络模型进行参数分析,表明锚具极限抗拔力在样本空间内随锚固长度、螺栓总预紧力、螺栓数量的增加而增加,与试验研究结果相符.本文可为CFRP筋夹板式锚具的应用及改进提供参考.
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| 关 键 词： | 碳纤维筋 夹板式锚具 神经网络 极限抗拔力 预测 |
Prediction of Bearing Capacity of Clamping Anchors for CFRP Rods Based on Neural Network |
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| YE Yong,GUO Zi-xiong,LIU Yang.Prediction of Bearing Capacity of Clamping Anchors for CFRP Rods Based on Neural Network[J].Journal of Huazhong University of Science and Technology,2011,28(3). |
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| Authors: | YE Yong GUO Zi-xiong LIU Yang |
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| Affiliation: | YE Yong,GUO Zi-xiong,LIU Yang(School of Civil Engineering,Huaqiao University,Quanzhou 362021,Chin a) |
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| Abstract: | Based on experimental results of 20 pull-out tests on clamping anchors for CFRP rods,a prediction model using artificial neural network is established to anal yze the influence of various parameters on bearing capacity of the clamping anch or.The parameters include the bonded length,the total pre-tightening forces a pplied to the bolts,the bolt number,and the diameter of CFRP rods.The predict ed values by the trained neural network agree well with the experimental values. Parametric study is performed and t... |
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| Keywords: | CFRP rod clamping anchor neural network b earing capacity prediction |
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