混凝土2024,Issue(6) :193-197.DOI:10.3969/j.issn.1002-3550.2024.06.037

CFB炉渣细骨料纤维砂浆干燥收缩特性研究

Drying shrinkage characteristics of CFB slag fine aggregate fiber mortar

李姗姗 赵亚娣 金宝宏
混凝土2024,Issue(6) :193-197.DOI:10.3969/j.issn.1002-3550.2024.06.037

CFB炉渣细骨料纤维砂浆干燥收缩特性研究

Drying shrinkage characteristics of CFB slag fine aggregate fiber mortar

李姗姗 1赵亚娣 2金宝宏2
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作者信息

  • 1. 宁夏大学新华学院,宁夏银川 750021
  • 2. 宁夏大学土木与水利工程学院,宁夏银川 750021
  • 折叠

摘要

为了实现CFB炉渣的高效利用,提高预拌砂浆的抗裂性,以粉煤灰取代量(体积分数)、CFB炉渣细骨料取代量(体积分数)和PVA纤维掺量(体积分数)为因素,设计正交试验方案L16(45),试验研究CFB炉渣细骨料纤维砂浆的干燥收缩特性,分析作用规律,建立回归模型.结果表明:增加粉煤灰取代量可以提高CFB炉渣砂浆稠度,增加CFB炉渣取代量和PVA纤维掺量不利于砂浆稠度的提升;粉煤灰取代量、CFB炉渣取代量为CFB炉渣纤维砂浆的干燥收缩特别显著性影响因素,PVA纤维掺量为显著性影响因素;粉煤灰取代量、PVA纤维掺量对CFB炉渣纤维砂浆的干燥收缩起明显的抑制作用,CFB炉渣使砂浆的干燥收缩呈先降低后增大的变化趋势;砂浆干燥收缩的模型预测相对残差在±5%以内,模型预测结果准确可信.

Abstract

In order to realize the efficient use of CFB slag and improve the crack resistance of ready mixed mortar,the orthogonal table L16(45)is designed based on the replacement amount of fly ash(volume fraction),the replacement amount of CFB slag fine aggregate(volume fraction)and the amount of PVA fiber(volume fraction).The drying shrinkage characteristics of CFB slag fine aggregate fiber mortar are experimentally studied,and the regression model is established through the analysis of the action rules.The results show that in-creasing the replacement amount of fly ash can improve the consistency of CFB slag mortar,while increasing the replacement amount of CFB slag and the content of PVA fiber is not conducive to the improvement of mortar consistency.The replacement amount of fly ash and CFB slag are the most significant factors affecting the drying shrinkage of CFB slag fiber mortar,and the content of PVA fiber is the signif-icant factor.The replacement amount of fly ash and the amount of PVA fiber have an obvious inhibiting effect on the drying shrinkage of CFB slag fiber mortar,and the drying shrinkage of CFB slag fiber mortar shows a trend of decreasing first and then increasing.The relative residual of the model prediction of mortar drying shrinkage is within±5%,and the model prediction results are accurate and reliable.

关键词

CFB炉渣/预拌砂浆/稠度/干燥收缩/回归模型

Key words

CFB slag/ready mixed mortar/consistency/drying shrinkage/regression model

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基金项目

宁夏大学新华学院科学研究基金(22XHKY10)

宁夏大学新华学院重点学科建设项目(ZDXK-2019-01)

国家自然科学基金(51968060)

出版年

2024
混凝土
中国建筑东北设计研究院有限公司

混凝土

CSTPCD北大核心
影响因子:0.844
ISSN:1002-3550
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