| 摘要: |
| 通过所测定的颗粒堆积密度和总比表面积，计算了水泥石灰石粉浆体颗粒水膜厚度，研究了水膜厚度随这两者变化的规律；采用旋转黏度计测定浆体屈服应力，同时基于BP神经网络建立了水泥石灰石粉浆体颗粒水膜厚度与浆体屈服应力之间的关系模型。结果表明：水泥石灰石粉浆体颗粒水膜厚度随颗粒堆积密度与总比表面积比值的增大而增大；水泥石灰石粉浆体颗粒水膜厚度的变化与堆积密度和总比表面积的相对增加速率Δ显著相关，堆积密度增加速率大于颗粒总比表面积增加速率时（Δ>0），水膜厚度增大，反之水膜厚度减小；浆体屈服应力模型计算值与测定值的Peasron相关系数为0955，表明该模型的精确度较高. |
| 关键词: 石灰石粉 水膜厚度 屈服应力 BP神经网络 |
| DOI：103969/j.issn.1007 9629202102001 |
| 分类号: |
| 基金项目:中南大学研究生自主探索创新项目(2019zzts969) |
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| Relationship between Water Film Thickness and Yield Stress of Cement Ground Limestone Powder Paste |
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XIAO Jia1, ZHANG Zedi1, HAN Kaidong1, TIAN Chengyu2, QIU Kai2
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1.School of Civil Engineering, Central South University, Changsha 410075, China;2.Research and Design Institute of China Hydropower Engineering Bureau 8 Co., Ltd., Changsha 410004, China
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| Abstract: |
| The water film thickness of cement ground limestone paste was calculated by the total specific surface area and packing density of the particles. The relationship between the water film thickness and the total specific surface area and packing density of the particles was investigated. The yield stress of the paste was measured and the model of relationship between water film thickness and yield stress was established based on BP neural network. The results show that the water film thickness of cement ground limestone paste depends on the ratio of packing density to total specific surface area and increases with the increase of the ratio. The change of water film thickness is significantly correlated to the relative increase rate of packing density and total specific surface area. When the increase rate of packing density is greater than the increase rate of total specific surface area of particles (Δ>0), the water film thickness increases and vice versa. The Peasron correlation coefficient between calculated values and measured values of the model of yield stress is 0955, which means the model has high accuracy. |
| Key words: ground limestone powder water film thickness yield stress BP neural network |
