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引用本文:张营,孙国文,张国强,王彩辉,王亚倩.基于因子设计法优化和预测水下不分散混凝土的抗分散性能[J].建筑材料学报,2022,25(5):509-515
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基于因子设计法优化和预测水下不分散混凝土的抗分散性能
张营1,孙国文1,2,张国强3,王彩辉1,2,王亚倩1
1.石家庄铁道大学 材料科学与工程学院,河北 石家庄 050043;2.河北省交通工程与环境 协同发展新材料重点实验室,河北 石家庄 050043;3.石家庄铁道大学四方学院 基础部,河北 石家庄 051132
摘要:
为了对影响水下不分散混凝土施工质量最关键的3个技术指标(絮凝性、流动性和水陆强度比)进行优化设计以及预测,在试验数据的基础上,采用因子设计法对其进行了优化计算和建模.试验设计了3个因子:水胶比(mW/mB)为0.35~0.45,絮凝剂(AWA)用量为0.20%~1.50%,减水剂(PC)用量为1.20%~1.80%.结果表明:水下不分散混凝土最佳水灰比、AWA用量和PC用量分别为0.39、0.86%、1.47%,预测水下不分散混凝土对应的扩展度为184.0 mm,悬浊物含量为113.2 mg/L,水陆强度比为77.4%.
关键词:  水下不分散混凝土  因子设计  絮凝性  水陆强度比  流动性  误差分析
DOI:10.3969/j.issn.1007-9629.2022.05.010
分类号:TU528.01
基金项目:国家自然科学基金资助项目(51778378)
Optimization and Prediction for Anti-washout Ability of Underwater Concrete Based on Factorial Design
ZHANG Ying1, SUN Guowen1,2, ZHANG Guoqiang3, WANG Caihui1,2, WANG Yaqian1
1.School of Materials Science and Engineering, Shijiazhuang Tiedao University, Shijiazhuang 050043, China;2.Hebei Key Laboratory of Advanced Materials for Transportation Engineering and Environment, Shijiazhuang 050043, China;3.Foundational Subjects Department, Shijiazhuang Tiedao University Si Fang College,Shijiazhuang 051132, China
Abstract:
In order to optimize the design and forecast of the three most critical technical indicators that affect the quality of underwater concrete construction: anti-washout, slump and underwater/in-air strength ratio. Based on the experimental data, the factorial design method was used to optimize calculation and modeling. In the experiment, the water-binder ratio(mW/mB) was from 0.35 to 0.45, and the amount of anti-washout admixture(wAWA) was 0.20%~1.50%, the amount of superplasticizer(wPC) was from 1.20% to 1.80%. The results show that underwater concrete has excellent properties. The best values of mW/mBwAWA and wPC are 0.39, 0.86% and 1.47%, respectively. The theoretical prediction is that the corresponding slump of underwater concrete is 184.0 mm and the suspension content is 113.2 mg/L, the underwater/in-air strength ratio is 77.4%.
Key words:  underwater concrete  factorial design  anti-washout  underwater/in-air strength ratio  slump  error analysis
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