| 基于灰色神经网络预测桥梁基桩混凝土自由收缩应变 |
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| 引用本文： | 许红叶,陈振富.基于灰色神经网络预测桥梁基桩混凝土自由收缩应变[J].中国科技信息,2012(10):91. |
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| 作者姓名： | 许红叶 陈振富 |
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| 作者单位： | 1. 南华大学城市建设学院,湖南衡阳421001;湖南高速铁路职业技术学院:湖南衡阳421001
2. 南华大学城市建设学院,湖南衡阳,421001 |
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| 摘 要： | 桥梁基桩混凝土的自由收缩应变是基桩变形研究的一个重要方面,受多种因素影响,建立计算模型比较困难。本文在试验研究的基础上,利用灰色神经网络技术,在考虑多种影响因素的情况下,建立灰色神经网络模型预测基桩混凝土的自由收缩应变,从而降低了工程造价,同时还可以得到较满意的预测结果,为桥梁基桩混凝土自由收缩应变的研究提供了一种新方法和新思路,为工程实际应用提供了简便的预测方法,具有重要意义。
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| 关 键 词： | 基桩 GM(1 1)模型 灰色理论 神经网络 自由收缩应变 预测 |
The Prediction of Free Shrinkage Strain of Reinforcement in Brodge Pile Concrete by Gray Neural Network |
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| XU Hong-ye
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CHEN Zhen-fu.The Prediction of Free Shrinkage Strain of Reinforcement in Brodge Pile Concrete by Gray Neural Network[J].CHINA SCIENCE AND TECHNOLOGY INFORMATION,2012(10):91. |
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| Authors: | XU Hong-ye CHEN Zhen-fu |
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| Institution: | 1.School of Urban Construction,University of South China,Hengyang 421001 2.Hunan Technical College of Railway High-Speed,Hengyang 421001 |
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| Abstract: | The free shrinkage strain of bridge pile concrete is an important aspect.It is influenced by many factors which make it difficult to build any calculation model.Based on the test results,gray neural network was introduced into the prediction of the free shrinkage strain of bridge pile in this paper.Considering multi-factors,gray neural network models were built.It is shown that satisfactory results can be achieved by the given models,whereas need no mathematical model.Therefore,gray neural network will break a new approach for the study on the free shrinkage strain of concrete,which will provide a simple calculation method for engineering in practice as well. |
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| Keywords: | foundation pile GM(1 1)model gray theory neural networks free shrinkage strain prediction |
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