Strength Meso-correlation in Cement-modified Luoyang Expansive Soil under Dry-Wet Cycles

Shear strength and crack characteristics are crucial factors in determining the engineering properties of expansive soils. In this study, direct shear tests, triaxial shear tests, and crack development tests were implemented to assess the impacts of cement content and dry-wet cycles on the mechanical behavior of expansive soil. The fullsurface fracture indices of the triaxial specimens were extracted, and a comprehensive fracture index was calculated. Subsequently, a Support Vector Machine (SVM) model was established to analyze the development of cohesion. The findings indicated that the shear strength and its parameters decrease as the frequency of dry-wet cycles increases, and they initially rise and then fall with the increase in cement content. The maximum shear strength occurs at a cement content of 6%-8%. The correlation between comprehensive fracture index and strength index is better than that of single fracture index, and the correlation between average crack width is the strongest. The support vector machine model is established by replacing the average width of cracks with dry-wet cycle frequency. The model has a small prediction accuracy error, strong adaptability, and high potential. The findings of this study indicate that crack index analysis can effectively simulate the cohesion of expansive soils, demonstrating significant practical potential for engineering construction in expansive soil regions. This approach provides important theoretical support and technical guidance for construction practices in areas characterized by expansive soils. Keywords: Improved Luoyang expansive soil, Shear strength, Dry-wet cycles, Macro-tomesoscopic correlation analysis, Support vector machine.

Authors

Publication Details

Journal
Jordan Journal of Civil Engineering
Published
2025-01-01
DOI
https://doi.org/10.14525/jjce.v19i3.04
Primary Topic
Geotechnical Engineering and Soil Stabilization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strength Meso-correlation in Cement-modified Luoyang Expansive Soil under Dry-Wet Cycles

Yugang Zhang
Jordan Journal of Civil Engineering
Geotechnical Engineering and Soil Stabilization
article

Strength Meso-correlation in Cement-modified Luoyang Expansive Soil under Dry-Wet Cycles

Yugang Zhang
article en

Abstract

Shear strength and crack characteristics are crucial factors in determining the engineering properties of expansive soils. In this study, direct shear tests, triaxial shear tests, and crack development tests were implemented to assess the impacts of cement content and dry-wet cycles on the mechanical behavior of expansive soil. The fullsurface fracture indices of the triaxial specimens were extracted, and a comprehensive fracture index was calculated. Subsequently, a Support Vector Machine (SVM) model was established to analyze the development of cohesion. The findings indicated that the shear strength and its parameters decrease as the frequency of dry-wet cycles increases, and they initially rise and then fall with the increase in cement content. The maximum shear strength occurs at a cement content of 6%-8%. The correlation between comprehensive fracture index and strength index is better than that of single fracture index, and the correlation between average crack width is the strongest. The support vector machine model is established by replacing the average width of cracks with dry-wet cycle frequency. The model has a small prediction accuracy error, strong adaptability, and high potential. The findings of this study indicate that crack index analysis can effectively simulate the cohesion of expansive soils, demonstrating significant practical potential for engineering construction in expansive soil regions. This approach provides important theoretical support and technical guidance for construction practices in areas characterized by expansive soils. Keywords: Improved Luoyang expansive soil, Shear strength, Dry-wet cycles, Macro-tomesoscopic correlation analysis, Support vector machine.

Jordan Journal of Civil EngineeringVol. 19(3)
National Natural Science Foundation of China
Openalex Percentile: Top 88%
Geotechnical Engineering and Soil Stabilization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.