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钢渣细骨料混凝土软化曲线断裂参数分析

Fracture parameter analysis of the softening curve for steel slag fine aggregate concrete

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【作者】 薛刚陈希张一帆许胜

【Author】 XUE Gang;CHEN Xi;ZHANG Yifan;XU Sheng;School of Civil Engineering, Inner Mongolia University of Science & Technology;

【通讯作者】 陈希;

【机构】 内蒙古科技大学土木工程学院

【摘要】 为系统探究钢渣细骨料对混凝土断裂性能的影响,基于楔入劈拉试验与有限元反演技术,研究了含不同钢渣掺量(0%、10%、20%、30%)的混凝土开裂后的软化行为演化规律,并结合三线性本构模型获得起断裂韧度、断裂能及特征长度等关键断裂参数。研究结果表明,掺入钢渣细骨料可优化裂缝扩展路径,增强裂后阶段的能量耗散能力与混凝土整体的断裂韧性,断裂能随钢渣掺量增加呈上升趋势。与试验曲线对比,三线性模型计算断裂能误差控制在±10%以内,精度优于传统双线性模型。特征长度的试验与模拟结果呈一定差异性,但均可验证适量钢渣(约20%)可显著提升混凝土的抗裂性能和韧性。研究成果可为钢渣混凝土在工程结构中的推广应用提供科学依据。

【Abstract】 To systematically investigate the influence of steel slag fine aggregate on the fracture performance of concrete, this study conducted wedge splitting tests combined with finite element-based inverse analysis. The post-cracking softening behavior of concrete incorporating different steel slag replacement ratios(0%, 10%, 20%, and 30%) was analyzed, and key fracture parameters including crack initiation toughness, fracture energy, and characteristic length were obtained using a tri-linear constitutive model. The results show that the inclusion of steel slag fine aggregate can optimize crack propagation paths, enhance post-peak energy dissipation capacity, and improve the overall fracture toughness of concrete. Fracture energy exhibited an increasing trend with higher slag content. Compared with experimental curves, the fracture energy calculated by the tri-linear model maintained an error within ±10%, demonstrating higher accuracy than the traditional bi-linear model. Although discrepancies were observed between experimental and simulated characteristic lengths, both results confirmed that an appropriate slag content(approximately 20%) significantly improves the crack resistance and toughness of concrete. These findings provide a scientific basis for the practical application of steel slag concrete in structural engineering.

【基金】 国家自然科学基金项目(52468040);2023年度内蒙古自治区直属高校基本科研业务费项目(2023RCTD025);内蒙古自治区直属高校基本科研业务费项目(2024QNJS107);内蒙古自治区自然科学基金项目(2025FX037)
  • 【文献出处】 功能材料 ,Journal of Functional Materials , 编辑部邮箱 ,2026年03期
  • 【分类号】TU528
  • 【下载频次】35
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