Journal of Jilin University(Engineering and Technology Edition) ›› 2026, Vol. 56 ›› Issue (7): 1860-1869.doi: 10.13229/j.cnki.jdxbgxb.20241345

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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

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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

CLC Number: 

  • TU441

Fig.1

Pisha sandstone particle gradation map"

Table 1

Physical property table of feldspathic sandstone"

性能指标数 值
天然含水率/%5.23
密度/（g?cm-3）1.65
风干含水率/%1.9
最大干密度/（g?cm-3）1.77
最优含水率/%14.5
塑限18.29
液限/%27.61
塑性指数9.3

Table 2

Physical properties table of BF"

性能指标数值
直径/μm13
长度/mm1.65
拉伸强度/MPa1.90
密度/（g?cm-3）1.77
弹性模量/GPa14.50
断裂伸长率/%18.29

Fig.2

Plot of UCS versus peak strain versus BF dosage"

Fig.3

Schematic diagram of BF distribution"

Fig.4

Relationship between E50 and UCS of BF-PSC"

Fig.5

T2 spectra of BF-PSC at different curing age"

Fig.6

Variation of T2 spectral area with curing age"

Fig.7

Porosity and bound fluid saturation change with BF dosage"

Fig.8

Distribution of different pore sizes"

Fig.9

Gray correlation coefficients for various pore structures"

Table 3

Relative error between predicted and test values table"

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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