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1. 新疆大学建筑工程学院新疆建筑结构与抗震重点实验室
2. 乌鲁木齐市政府投资城市基础设施建设中心
Published:2021
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[1]李佳,刘清,邓焙元,等.基于灰色理论掺风积沙自密实混凝土强度分析与预测[J].新疆大学学报(自然科学版)(中英文),2021,38(03):361-376.
[1]李佳,刘清,邓焙元,等.基于灰色理论掺风积沙自密实混凝土强度分析与预测[J].新疆大学学报(自然科学版)(中英文),2021,38(03):361-376. DOI: 10.13568/j.cnki.651094.651316.2020.06.17.0002.
DOI:10.13568/j.cnki.651094.651316.2020.06.17.0002.
在C30掺风积沙自密实混凝土正交试验基础上
分析风积沙取代率、砂率、水胶比、颗粒级配、粉煤灰掺量与其强度之间的联系与规律.在灰色理论的基础上运用正交试验数据建立多变量传统灰色模型、灰色优化模型
将其应用于C30掺风积沙自密实混凝土强度预测中.模型预测结果显示
灰色优化模型具有高预测精度与低预测误差的特性
强度预测趋势图表现出与实验数据更好的接近性.从作用机理上分析了掺风积沙自密实混凝土内部各材料状态随龄期的变化以及抗压强度与劈裂抗拉强度的主要影响因素.灰色理论结合正交试验方法对于使用新疆优势资源风积沙配制自密实混凝土具有指导意义
上述优化模型可为掺风积沙自密实混凝土的现场施工与试验设计提供更多可靠的强度数据借鉴
对于合理高效的利用资源具有一定意义.
Based on the orthogonal test of C30 eolian sand self-compacted concrete
the relationship and law between the strength of eolian sand
sand ratio
water-binder ratio
particle gradation and fly ash content were analyzed. On the basis of the grey theory
the multi-variable traditional grey model and grey optimization model are established by using the orthogonal experimental data. The prediction results of the model show that the grey optimization model has the characteristics of high prediction accuracy and low prediction error
and the trend graph of the intensity prediction is closer to the experimental data. Based on the mechanism of action
the change of material state with age and the main influencing factors of compressive strength and splitting tensile strength of eolian sand self-compacting concrete are analyzed. Grey theory combined with orthogonal test method to explore the use of Xinjiang regional advantage resources for wind-blown sand preparation has guiding significance for selfcompacting concrete
the optimization model for wind-blown sand site construction of self-compacting concrete and the strength of the experimental design to provide more reliable data for reference
which is of great significance for the reasonable and efficient use of resources.
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