| 基于神经网络的混凝土梁斜裂缝宽度预测 |
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| 引用本文： | 李艳艳,戎贤,乔金丽,皮凤梅.基于神经网络的混凝土梁斜裂缝宽度预测[J].河北工业大学学报,2009,38(4). |
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| 作者姓名： | 李艳艳 戎贤 乔金丽 皮凤梅 |
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| 作者单位： | 1. 河北工业大学土木工程学院,天津,300130
2. 廊坊师范学院,建筑工程学院,河北,廊坊065000 |
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| 基金项目： | 河北省自然科学基金资助 |
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| 摘 要： | 对16根高强箍筋混凝土简支梁进行了受剪试验研究,分析了加载方式,混凝土强度、配箍率对斜裂缝宽度的影响,在试验基础上建立了混凝土梁斜裂缝宽度的BP网络模型.研究结果表明,该网络模型的模拟结果与试验结果符合较好,建立了高强钢筋混凝土梁受剪斜裂缝宽度和其影响因素之间的一种函数关系.因此,可以将人工神经网络运用到高强钢筋混凝土梁受剪斜裂缝宽度的研究中,实现斜裂缝宽度的预测.
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| 关 键 词： | 高强箍筋 混凝土梁 斜裂缝 宽度 神经网络 |
Prediction of Diagonal Crack Width of Concrete Beam Based on Artificial Neural Network |
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| LI Yan-yan,RONG Xian,QIAO Jin-li,PI Feng-mei.Prediction of Diagonal Crack Width of Concrete Beam Based on Artificial Neural Network[J].Journal of Hebei University of Technology,2009,38(4). |
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| Authors: | LI Yan-yan RONG Xian QIAO Jin-li PI Feng-mei |
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| Affiliation: | 1. School of Civil Engineering;Hebei University of Technology;Tianjin 300130;China;2. Institute of Architecture Civil Engineering;Langfang Teachers College;Hebei Langfang 065000;China |
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| Abstract: | Experinental research on 16 singly supported reinforced concrete beams with high-strength stirrup was perfomed. The fractors such as loading-form, concrete strength and stirrup ratio were analyzed. On the basis of experinental data, BP Neural Network model was established. From the results it can been seen that the model of artificial neural network in training can exactly imitate the experinental result, which establishes a relationshiop between diagonal crack width and its factors. Therefore, the theory o... |
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| Keywords: | high-strength stirrup concrete beam diagonal crack width width artificial neural network |
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