| 自密实混凝土工作性能和强度的BP神经网络预测 |
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| 引用本文： | 郭奇,李悦. 自密实混凝土工作性能和强度的BP神经网络预测[J]. 国外建材科技, 2007, 28(6): 30-33 |
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| 作者姓名： | 郭奇 李悦 |
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| 作者单位： | 北京工业大学建工学院,北京,100022 |
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| 基金项目： | 北京市科技新星计划项目 , 国家自然科学基金 |
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| 摘 要： | 如何在进行自密实混凝土配合比设计前对其工作性能和强度进行有效预测,为配合比设计提供指导,是一大难点。利用BP神经网络,对自密实混凝土的工作性能(坍落度和扩展度)和28 d强度进行预测。结果表明,利用大量试验数据样本训练的BP网络可以预测不同情况下的自密实混凝土的坍落度、扩展度和28 d强度,预测精度高。
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| 关 键 词： | BP神经网络 自密实混凝土 配合比 工作性能 强度 |
| 收稿时间： | 2007-08-20 |
| 修稿时间： | 2007-08-20 |
Workability and Strength Prediction of Self-compacting Concrete Based on BP Neural Network |
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| GUO Qi,LI Yue. Workability and Strength Prediction of Self-compacting Concrete Based on BP Neural Network[J]. Science and Technology of Overseas Building Materials, 2007, 28(6): 30-33 |
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| Authors: | GUO Qi LI Yue |
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| Abstract: | In this paper the parameters of self-compacting concrete(short for SCC) mix proportion are taken as the input of BP neural network,and its corresponding workability and 28 d strength as the output of the network to express the nonlinear relation between them.The results of the actual example indicate that predicting the properties of SCC through the pre-trained BP neural network is effective and precise. |
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| Keywords: | BP network self-compacting concrete mix proportion workability strength |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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