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矿渣微粉-水泥复合胶凝体系早期强度演化规律及其预测模型改进

Early strength evolution law and prediction model improvement of GGBS-Cement composite cementitious system
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摘要 研究矿渣微粉-水泥复合胶凝体系中矿渣微粉掺量对胶砂试件早期抗压强度发展的影响,并寻求准确的强度预测方法。制备40 mm×40 mm×160 mm矿渣微粉-水泥复合材料胶砂试件,检测其不同龄期下的抗折与抗压强度,并以此为基础展开分析。基于fib model code 2010模型对比分析强度预测影响因子s的改进公式,提出一个以矿渣微粉掺量为主要变量的经验函数,描述影响因子s随矿渣微粉掺量占胶凝体系比例大小的变化。通过新的修正强度预测模型将胶砂抗压强度预测结果与试验结果及以往研究试验数据进行对比并分析误差情况。研究结果表明,矿渣微粉掺量与强度呈负相关,且随着掺量增加,CaO含量降低,水化硫铝酸钙生成受抑,火山灰效应减弱,导致早期力学强度逐渐下降;此外,还发现以矿渣微粉掺量为主要变量的经验函数可以准确评估矿渣微粉-水泥复合胶凝体系的早期强度发展情况。 The purpose of this paper is to explore the influence of GGBS content on the development of early compressive strength of mortar specimens in GGBS-cement composite cementitious system,and to seek an accurate strength prediction method.By preparing 40 mm×40 mm×160 mm GGBS-cement composite mortar specimens,and testing their flexural and compressive strength at different ages,the analysis is carried out.Based on the fib model code 2010,the improved formula of strength prediction influence factor s is compared and analyzed.An empirical function based on GGBS content as the main variable is proposed to describe the change of influence factor s with the proportion of GGBS content in the cementitious system.Through the new modified strength prediction model,the prediction results of the compressive strength of the mortar are compared with the test results and the previous research test data to analyze the error.The results show that the content of GGBS is negatively correlated with the strength.With the increase of GGBS content,the content of CaO decreases,the formation of hydrated calcium sulphoaluminate is inhibited,and the pozzolanic effect is weakened,resulting in the gradual decrease of early mechanical strength.In addition,it is further found that the empirical function based on GGBS content as the main variable can accurately evaluate the early strength development of GGBS-cement composite cementitious system and has good scalability.
作者 刘龙基 刘尊青 谢海巍 瓦依提·力提甫 LIU Longji;LIU Zunqing;XIE Haiwei;Wayiti·Litifu(School of Transportation and Logistics Engineering,Xinjiang Agricultural University,Urumqi 830052,China;School of Water Conservancy and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Transportation Planning Surveying and Design Institute Co.,Ltd.,Urumqi 830099,China)
出处 《甘肃科学学报》 2025年第6期39-46,共8页 Journal of Gansu Sciences
基金 国家自然科学基金(52268072) 新疆维吾尔自治区研究生创新项目(XJ2024G119)。
关键词 预测模型 矿渣微粉 早期抗压强度 曲线拟合 Prediction model GGBS Early compressive strength Curve fitting
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