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硅酸盐通报 ›› 2025, Vol. 44 ›› Issue (4): 1408-1419.DOI: 10.16552/j.cnki.issn1001-1625.2024.1519

• 混凝土 • 上一篇    下一篇

基于RSM的玄武岩纤维固废混凝土力学性能优化研究

查文华, 徐源歆, 许涛, 谭雪剑, 张晓丽   

  1. 东华理工大学土木与建筑工程学院,南昌 330013
  • 收稿日期:2024-12-09 修订日期:2025-02-12 出版日期:2025-04-15 发布日期:2025-04-18
  • 通信作者: 徐源歆,硕士研究生。E-mail:xuyuanxin1206@163.com
  • 作者简介:查文华(1975—),男,博士,教授。主要从事矿山固废资源化利用及工程地质灾害防控的研究。E-mail:whzha@126.com
  • 基金资助:
    国家自然科学基金(52264003);江西省2024年度研究生创新专项资金项目(YC2024-S494)

Optimization of Mechanical Properties of Basalt Fiber Solid Waste Concrete Based on RSM

ZHA Wenhua, XU Yuanxin, XU Tao, TAN Xuejian, ZHANG Xiaoli   

  1. School of Civil and Architecture Engineering, East China University of Technology, Nanchang 330013, China
  • Received:2024-12-09 Revised:2025-02-12 Published:2025-04-15 Online:2025-04-18

摘要: 为探明锂渣替代率、玄武岩纤维长度与掺量等因素及其交互作用下对锂渣-煤矸石固废混凝土力学性能影响规律并实现多指标优化,采用单因素试验确定响应面法(RSM)中各因素最佳基准水平,建立了混凝土28 d单轴抗压强度和劈裂抗拉强度的二次多项式回归模型,确定了材料最优参数。结果表明,单因素试验中最优锂渣替代率、玄武岩纤维长度及掺量分别为25%(质量分数)、18 mm及0.16%(体积分数)。响应面试验中锂渣替代率与玄武岩纤维掺量的交互作用、玄武岩纤维长度与掺量的交互作用分别是影响抗压强度和抗拉强度的关键性因素。回归模拟获得最优参数:锂渣替代率22.875%(质量分数)、纤维掺量0.184%(体积分数)、纤维长度18 mm,该模型预测结果与平行试验结果的拟合度较高,表明回归模型可为玄武岩纤维-锂渣-煤矸石混凝土力学性能多目标优化提供有效参考。

关键词: 固废资源化, 玄武岩纤维, 锂渣, 混凝土, 响应面法, 力学性能

Abstract: In order to explore the effects of lithium slag substitution rate, basalt fiber length, basalt fiber dosage and their interaction on the mechanical properties of lithium slag-coal gangue solid waste concrete and realize the optimization of multiple indicators, a single-factor test was conducted to determine the optimal baseline level of each factor in the response surface methodology (RSM).Quadratic polynomial regression models were established for the 28 d uniaxial compressive strength and splitting tensile strength of concrete to determine the optimal material parameters. The results show that the optimal substitution rate of lithium slag, the length and dosage of basalt fiber in the single-factor test are 25% (mass fraction), 18 mm, and 0.16% (volume fraction), respectively. The interaction between lithium slag substitution rate and basalt fiber dosage, and the interaction between basalt fiber length and dosage, in the response surface experiments are the key factors affecting compressive strength and tensile strength, respectively. The optimal parameters obtained by regression simulation as 22.875% (mass fraction) lithium slag substitution rate, 0.184% (volume fraction) fiber dosage, and 18 mm fiber length, and shows a high degree of fit with the results of parallel tests, indicating that the regression model can provide an effective reference for the multi-objective optimization of the mechanical properties of basalt fiber-lithium slag-coal gangue concrete.

Key words: solid waste recycling, basalt fiber, lithium slag, concrete, response surface method, mechanical property

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