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| 摘要: |
| 在给出水泥胶砂名义水灰比和标准砂平均浆体厚度计算方法的基础上，采用人工神经网络方法，建立了水泥胶砂流动度与水泥胶砂名义水灰比、标准砂平均浆体厚度、粉煤灰与胶凝材料用量比之间的非线性映射关系．该关系可用于高效减水剂减水率的测定，同时也可为混凝土坍落度的预测及高体积稳定性混凝土配合比设计方法的研究奠定基础． |
| 关键词: 水泥胶砂 标准砂 流动度 水灰比 减水率 体积稳定性 基础 浆体 量比 研究 |
| DOI： |
| 分类号:TU528 TU525 |
| 基金项目:福建省自然科学基金项目(E0210017)，福建省青年科技人才创新基金项目(2002J026) |
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| Study for the Fluidity Prediction Method of Mortar |
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JI Tao LIN Ting-wei ZHENG Zhong-shuang LIN Xu-jian
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| Abstract: |
| Based on the calculation methods of nominal water-cement ratio of mortar and average paste thickness of standard sand provided by authors, the nonlinear relation between fluidity of mortar and nominal water-cement ratio of mortar, average paste thickness of standard sand, fly ash-binder ratio was established by using artificial neural network(ANN). The outcome of this paper can be used in determining the effect of water reducer, and lays the foundation for the prediction of concrete slump and the mix proportion design of higher volume-stability concrete. |
| Key words: mortar,fluidity,artificial neural network,nominal water-cement ratio,average paste thickness |
