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Strength Meso-correlation in Cement-modified Luoyang Expansive Soil under Dry-Wet Cycles
by
Zhang, Yugang
2025
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Strength Meso-correlation in Cement-modified Luoyang Expansive Soil under Dry-Wet Cycles
by
Zhang, Yugang
2025
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Strength Meso-correlation in Cement-modified Luoyang Expansive Soil under Dry-Wet Cycles
Journal Article
Strength Meso-correlation in Cement-modified Luoyang Expansive Soil under Dry-Wet Cycles
2025
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Overview
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.
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