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粒化高炉矿渣作细骨料自密实混凝土试验研究

Experimental study on granulated blast furnace slag as fine aggregate self-compacting concrete

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【作者】 石东升李行行张鹏韩平贺培源

【Author】 Shi Dongsheng;Li Hanghang;Zhang Peng;Han Ping;He Peiyuan;Inner Mongolia University of Technology;Key Laboratory of Civil Engineering Structure and Mechanics of Inner Mongolia Autonomous Region;Xingtai Construction Group Co., Ltd.;

【机构】 内蒙古工业大学土木工程学院内蒙古自治区土木与力学重点实验室兴泰建设集团有限公司

【摘要】 基于全计算法配合比设计方法计算了粒化高炉矿渣自密实混凝土的配合比,通过研究其工作性能确定最终配合比并测试其抗压强度,而后利用GM(1,1)灰色预测模型预测其抗压强度。结果表明,通过合理调整砂率和外加剂的用量,可以制备出满足工作性能要求的粒化高炉矿渣作细骨料的自密实混凝土;7天龄期的抗压强度呈现随着代砂率的提高不断降低的趋势,由于粒化高炉矿渣具有一定的水硬性,28~180天龄期粒化高炉矿渣自密实混凝土抗压强度和强度增长率要高于普通自密实混凝土;GM(1,1)灰色预测模型可以较好地预测其抗压强度。

【Abstract】 The mix ratio of granulated blast furnace slag self-compacting concrete was designed based on the full calculation method. By studying its working performance to determine the final mix ratio and test its compressive strength, and then use the GM(1,1) grey prediction model can predict its compressive strength. The results show that self-compacting concrete that meets the requirements of working performance can be prepared by reasonably adjusting the sand ratio and the amount of admixture. The compressive strength of the 7 day age shows a decreasing trend with the increase of the sand replacement rate. The compressive strength and strength growth rate of granulated blast furnace slag self-compacting concrete at 28-180 days are higher than those of ordinary self-compacting concrete. This is because the granulated blast furnace slag has certain hydraulicity, which makes its strength change accordingly.GM(1,1) grey prediction model can better predict the compressive strength.

【基金】 国家自然科学基金(52068058);内蒙古自治区重点研发和成果转化计划项目(2023YFHH0358)
  • 【文献出处】 钢铁钒钛 ,Iron Steel Vanadium Titanium , 编辑部邮箱 ,2024年02期
  • 【分类号】TU528
  • 【下载频次】29
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