关键词: 随机森林模型, 电石渣混凝土, 限制膨胀率, 抗压强度, 协调性能

Abstract: To address the inconsistency where the incorporation of carbide slag microcapsules(CSM)coated with high-temperature wax into concrete results in increased expansion rate yet decreased strength, this study takes carbide slag concrete as the research object and use a random forest regression model with carbide slag content, curing temperature, curing humidity, and age as input features to simultaneously and accurately predict the compressive strength and restricted expansion rate of concrete. The optimized model achieves a coefficient of determination(R²)exceeding 0.99 for both synchronous predictions of compressive strength and restricted expansion rate, demonstrating high predictive reliability and effectiveness.- 引用格式:冯忠居,于明威,张聪,等.冲刷场地地震波形对大直径变截面单桩时程响应的影响［J］.河北大学学报(自然科学版),2026,46(4):337-348.引用格式:张菊,王凤林,闫长旺,等.基于随机森林模型的电石渣混凝土微膨胀与强度发展协调性研究［J］.河北大学学报(自然科学版),2026,46(4):349-358.DOI:10.3969/j.issn.1000-1565.2026.04.002基于随机森林模型的电石渣混凝土微膨胀与强度发展协调性研究张菊¹,王凤林¹,闫长旺²,王淑倩²,李彦辉³(1.内蒙古工业大学 土木工程学院,内蒙古 呼和浩特 010051;2.内蒙古工业大学 资源与环境工程学院,内蒙古 呼和浩特 010051;3. 呼伦贝尔市交通运输局综合保障中心,内蒙古 呼伦贝尔 021008)摘 要:针对高温蜡包裹的电石渣微胶囊(carbide slag microcapsules,CSM)掺入混凝土引起膨胀率上升而强度下降的不协调现象,以电石渣混凝土为研究对象,采用电石渣掺量、养护温度、养护湿度、龄期作为输入特征构建随机森林回归模型,对混凝土抗压强度与限制膨胀率进行同步精准预测. 优化后的模型对混凝土抗压强度与限制膨胀率的决定系数(R²)均超过0.99,具有较高的预测可靠性与有效性. 研究结果表明:混凝土强度与微膨胀的协调性受电石渣掺量、养护温度、养护湿度共同调控,中高电石渣掺量在养护中期协调效果显著,40 ℃养护条件协调性最优,60 ℃则因微胶囊失稳导致抗压强度损失加剧,自然养护条件严重抑制水化与膨胀反应,标准养护条件为最佳养护湿度条件.因此,可依据不同养护环境中的预测结果,通过控制电石渣掺量实现对混凝土强度与微膨胀性能的精准调控.关键词:随机森林模型;电石渣混凝土;限制膨胀率;抗压强度;协调性能中图分类号:TU528.55 文献标志码:A 文章编号:1000-1565(2026)04-0349-10DOI:10.3969/j.issn.1000-1565.2026.04.002Coordination between micro-expansion and strength development of carbide slag concrete based on random forest modelZHANG Ju¹, WANG Fenglin¹, YAN Changwang², WANG Shuqian², LI Yanhui³(1. School of Civil Engineering, Inner Mongolia University of Technology, Hohhot 010051, China;2. School of Resources and Environmental Engineering, Inner Mongolia University of Technology, Hohhot 010051, China;3. Comprehensive Support Center of Hulunbuir Transportation Bureau, Hulunbuir 021008, China)Abstract: To address the inconsistency where the incorporation of carbide slag microcapsules(CSM)coated with high-temperature wax into concrete results in increased expansion rate yet decreased strength, this study takes carbide slag concrete as the research object and use a random forest regression model with carbide slag content, curing temperature, curing humidity, and age as input features to simultaneously and accurately predict the compressive strength and restricted expansion rate of concrete. The optimized model achieves a coefficient of determination(R²)exceeding 0.99 for both synchronous predictions of compressive strength and restricted expansion rate, demonstrating high predictive reliability and effectiveness.- 收稿日期:2025-11-09;修回日期:2026-04-09 基金项目:国家自然科学基金项目(52368036);内蒙古科技计划项目(2025YFHH0016;2025YFHH0023);内蒙古自然科学基金项目(2025LHMS05008) 第一作者:张菊(1977—),女,内蒙古工业大学教授,主要从事固废资源化利用方向研究. E-mail: zj970741@126.com 第4期张菊等:基于随机森林模型的电石渣混凝土微膨胀与强度发展协调性研究河北大学学报(自然科学版) 第46卷The research findings indicate that the coordination between concrete strength and micro-expansion is jointly regulated by carbide slag content, curing temperature, and humidity. Medium to high carbide slag contents exhibit significant coordination effects in the middle curing stage, with the optimal coordination achieved under 40 ℃ curing conditions. At 60 ℃, the instability of microcapsules intensifies strength loss, while the natural curing environment severely inhibits hydration and expansion reactions, making standard curing the optimal humidity condition. Based on the above findings, precise regulation of concrete strength and micro-expansion performance can be realized by controlling the carbide slag content according to the prediction results under different curing environments.

Key words: random forest model, carbide slag concrete, restrained expansion rate, compressive strength, coordination performance