吉林大学学报(工学版) ›› 2026, Vol. 56 ›› Issue (7): 1860-1869.doi: 10.13229/j.cnki.jdxbgxb.20241345

• 交通运输工程·土木工程 • 上一篇    

玄武岩纤维砒砂岩水泥土抗压强度预测模型

董伟1,2(),李佳轩1,刘鑫3(),薛刚1   

  1. 1.内蒙古科技大学 土木工程学院,内蒙古 包头 014010
    2.内蒙古自治区土木工程安全与耐久性重点实验室,内蒙古 包头 014010
    3.鄂尔多斯应用技术学院 土木工程系,内蒙古 鄂尔多斯 017010
  • 收稿日期:2024-12-23 出版日期:2026-07-01 发布日期:2026-08-12
  • 通讯作者: 刘鑫 E-mail:dw617@126.com;490225291@qq.com
  • 作者简介:董伟(1987-),男,副教授,博士. 研究方向:固体废弃物建材资源化利用. E-mail: dw617@126.com
  • 基金资助:
    内蒙古自治区自然科学基金项目(2024QN05066);内蒙古自治区高等学校科学研究项目(NJZY22205);鄂尔多斯应用技术学院重点科研项目(KYZD2020003);鄂尔多斯应用技术学院学生科研一般项目(KYYB2023030);大学生创新创业训练计划项目(202314532021);大学生创新创业训练计划项目(202414532005);中央支持地方高校改革发展项目-土木工程提质培育学科建设项目(0404052507)

Prediction model for compressive strength of basalt fiber pisha sandstone cement-soil

Wei DONG1,2(),Jia-xuan LI1,Xin LIU3(),Gang XUE1   

  1. 1.College of Civil Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,China
    2.Inner Mongolia Autonomous Region Key Laboratory of Civil Engineering Safety and Durability,Baotou 014010,China
    3.Department of Civil Engineering,Ordos Institute of Technology,Ordos 017010,China
  • Received:2024-12-23 Online:2026-07-01 Published:2026-08-12
  • Contact: Xin LIU E-mail:dw617@126.com;490225291@qq.com

摘要:

为预测不同龄期、不同玄武岩纤维掺量下砒砂岩水泥土的无侧限抗压强度,制备了掺有不同质量分数(0%~0.6%)玄武岩纤维的玄武岩纤维砒砂岩水泥土,并进行了无侧限抗压强度试验和核磁共振试验。研究表明,纤维掺量0.15%~0.3%可显著提高无侧限抗压强度,最优掺量为0.15%,且无侧限抗压强度与割线模量呈线性关系。随养护龄期增加,无侧限抗压强度增加,孔隙率降低;随纤维掺量增加,无侧限抗压强度先增后降,孔隙率先降后升。灰色关联分析表明,束缚流体饱和度和小孔占比与无侧限抗压强度相关性较高。基于此,建立了GM(1,N)灰色模型预测无侧限抗压强度,估算值平均相对误差小于9.27%。研究结果可为砒砂岩在路基工程中的应用提供参考。

关键词: 玄武岩纤维砒砂岩水泥土, 无侧限抗压强度, 孔隙结构, 灰色关联分析法, 预测模型

Abstract:

In order to predict the unconfined compressive strength of Pisha Sandstone Cement-soil at different curing ages and different basalt fiber dosage, Basalt Fiber Pisha Sandstone Cement-soil mixed with basalt fiber of different mass fractions(0%~0.6%) was prepared, and the unconfined compressive strength test and nuclear magnetic resonance test were carried out. The results show that the fiber dosage of 0.15%~0.3% can significantly increase the unconfined compressive strength, and the optimal dosage is 0.15%, and the unconfined compressive strength has a linear relationship with the secant modulus. With the increase of curing age, unconfined compressive strength increased and porosity decreased. With the increase of fiber dosage, unconfined compressive strength increased first and then decreased, and the porosity decreased first and then increased. Grey correlation analysis showed that the bound fluid saturation and the proportion of small pores were highly correlated with unconfined compressive strength. Based on this, a GM(1,N) grey model was established to predict unconfined compressive strength, and the average relative error of the estimated value was less than 9.27%. The research results provide a reference for the application of Pisha Sandstone in subgrade engineering.

Key words: basalt fiber pisha sandstone cement-soil, unconfined compressive strength, pore structure, grey correlation analysis method, prediction model

中图分类号: 

  • TU441

图1

砒砂岩颗粒级配图"

表1

砒砂岩物理性质表"

性能指标数 值
天然含水率/%5.23
密度/(g?cm-31.65
风干含水率/%1.9
最大干密度/(g?cm-31.77
最优含水率/%14.5
塑限18.29
液限/%27.61
塑性指数9.3

表2

玄武岩纤维物理性质表"

性能指标数值
直径/μm13
长度/mm1.65
拉伸强度/MPa1.90
密度/(g?cm-31.77
弹性模量/GPa14.50
断裂伸长率/%18.29

图2

UCS与峰值应变随BF掺量变化图"

图3

BF分布示意图"

图4

BF-PSC割线模量与UCS关系"

图5

BF-PSC不同养护龄期下T2谱图"

图6

T2谱峰面积随养护龄期变化图"

图7

孔隙率和束缚流体度随BF掺量变化图"

图8

不同孔径占比分布图"

图9

各种孔隙结构的灰色关联度"

表3

预测值和试验值之间的相对误差 (%)"

龄期

/d

BF掺量/%平均相对误差/%
0.150.30.450.6
7-9.756.1912.25-2.177.58
14-16.47-0.435.1610.258.07
28-17.128.75-2.558.689.27
60-15.056.565.24-1.016.96
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