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盐溶液冻融循环作用下钢渣细骨料混凝土的耐久性能及寿命预测

Durability andservice life prediction of steel slag fine aggregate concrete under salt solution freeze-thaw cycles

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【作者】 邱永康薛刚董伟刘江森许胜

【Author】 QIU Yongkang;XUE Gang;DONG Wei;LIU Jiangsen;XU Sheng;School of Civil Engineering,Inner Mongolia University of Science and Technology;Key Laboratory of Civil Engineering Safety and Durability,Inner Mongolia Autonomous Region;

【通讯作者】 薛刚;

【机构】 内蒙古科技大学土木工程学院内蒙古自治区土木工程安全与耐久重点实验室

【摘要】 为研究钢渣细骨料混凝土(steel slag fine aggregate concrete, SSC)在盐溶液冻融循环(salt solution and freeze-thaw cycles, S-FTC)作用下的耐久性能,首先通过力学性能试验确定钢渣细骨料(steel slag fine aggregate, SSA)和粉煤灰(fly ash, FA)最佳掺量;随后对混凝土试样进行S-FTC试验,系统分析SSA掺量、FA掺量对混凝土的质量、动弹性模量及抗压强度的影响;进而引入灰色理论均值GM(1,1)模型,利用相对动弹性模量实测结果建立SSC抗S-FTC性能预测模型,并开展误差分析,预测其耐久寿命。结果表明:30%SSA掺量能够有效提高S-FTC下混凝土的耐久性能,复掺10%FA后,延缓了SSC质量及动弹性模量劣化,但对抗压强度改善有限;GM(1,1)模型的预测值与实测值较符合,平均相对误差均小于2.6%;S-FTC作用下,30%SSA掺量的SSC寿命较普通混凝土(natural concrete, NC)提高10%~30%,复掺10%FA后,SSC寿命进一步提高5%~20%;基于GM(1,1)的预测模型可对SSC抗S-FTC性能进行较为精确的定量评估。

【Abstract】 To investigate the durability of steel slag fine aggregate concrete(SSC) under salt solution and freeze-thaw cycles(S-FTC), mechanical tests were first conducted to determine the optimal dosages of steel slag fine aggregate(SSA) and fly ash(FA). Subsequently, S-FTC tests were carried out on concrete specimens to systematically analyze the effects of SSA and FA contents on mass, relative dynamic modulus of elasticity, and compressive strength. Furthermore, the GM(1,1) model based on grey theory was introduced to establish a predictive model for the S-FTC resistance of SSC using the measured relative dynamic modulus, followed by error analysis and service life prediction. The results indicate that a 30% SSA replacement effectively improves the durability of SSC under S-FTC. The combined incorporation of 10% FA further delays the degradation of mass and dynamic modulus, though it has limited effect on compressive strength enhancement. The predicted values obtained from the GM(1,1) model show good agreement with experimental results, with an average relative error below 2.6%. Under S-FTC exposure, the service life of SSC with 30% SSA is extended by approximately 10%-30% compared to natural concrete(NC), and a further 5%-20% increase in service life is achieved with the additional incorporation of 10% FA. Therefore, the GM(1,1)-based predictive model enables relatively accurate quantitative evaluation of the S-FTC resistance of SSC.

【基金】 国家自然科学基金项目(52468040);中央引导地方科技发展资金项目(2025ZY0119);内蒙古自治区自然科学基金项目(2025FX037);内蒙古自治区直属高校基本科研业务费项目(2024QNJS107)
  • 【文献出处】 功能材料 ,Journal of Functional Materials , 编辑部邮箱 ,2026年02期
  • 【分类号】TU528
  • 【下载频次】96
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