| 基于人工神经网络的大体积混凝土温度场预测 |
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| 引用本文： | 王新刚,王起才,周岩,王立彬. 基于人工神经网络的大体积混凝土温度场预测[J]. 混凝土, 2006, 0(9): 21-24 |
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| 作者姓名： | 王新刚 王起才 周岩 王立彬 |
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| 作者单位： | 兰州交通大学,土木工程学院,甘肃,兰州,730070;甘肃第六建筑工程股份有限公司,甘肃,兰州,730073 |
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| 摘 要： | 大体积混凝土的水化热不容易及时散发，内部温升将会很高，从而产生很大的温度应力，导致出现温度裂缝。预测分析温度场为研究温度裂缝以及进行温控设计、制定合理的防裂措施提供了依据。针对大体积混凝土温度场的非稳态特性，提出了一种基于BP人工神经网络Levenberg—Marquardt算法的温度场预测模型。预测结果表明，该模型收敛速度快，预测精度较高。
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| 关 键 词： | 大体积混凝土 温度场 人工神经网络 水化热 LM算法 |
| 文章编号： | 1002-3550-（2006）09-0021-04 |
| 收稿时间： | 2006-07-11 |
| 修稿时间： | 2006-07-11 |
Forecast on temperature field of massive concrete based on artificial neural network |
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| WANG Xingang,WANG Qicai,ZHOU Yan,WANG Libin. Forecast on temperature field of massive concrete based on artificial neural network[J]. Concrete, 2006, 0(9): 21-24 |
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| Authors: | WANG Xingang WANG Qicai ZHOU Yan WANG Libin |
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| Affiliation: | 1 .The school of civil engineering of LanZhou Jiao Tong University, Lanzhou,730070, China; 2. Gansu sixth architectural engineering limited liability company, Lanzhou,730073, China |
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| Abstract: | The hydration heat of massive concrete does not emanate easily, so the intemal temperature will be very high which will generate high thermal stress, then the temperature crack will appear, The analysis of temperature field offers the bases of the study of temperature crack, design of controlling the temperature change and establishing reasonable measures of controlling the temperature crack, A forecasting model of temperature field which bases on the Levenberg-Marquardt algorithm of BP neural network is put forward according to the transient characteristic of temperature field of massive concrete. The result of prediction shows that this model has a speedy convergence and a prediction of high precision. |
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| Keywords: | massive concrete temperature field artificial neural network hydration reaction LM algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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