Study on regression model of shear strength of root-soil composite under freeze-thaw action
Year: 2026
Type: article
Abstract: Currently, the deterioration mechanism of root containing soil performance under freeze-thaw cycles remains poorly understood, and existing prediction models seldom systematically account for the influence of freeze-thaw cycles. In this study, the reed root-sandy silt in the Inner Mongolia section of the Yellow River was taken as the research object. The effects of initial water content w , initial dry density ρ d , confining pressure σ , root section ratio RAR and freeze-thaw cycles n on the shear strength τ , cohesion c and internal friction angle φ of reed root-sandy silt were investigated. The sensitivity of each factor was analyzed. Based on the above parameters, the regression model of reed root-sandy silt τ , c and φ in the Inner Mongolia section of the Yellow River was constructed. The results show that τ , c and φ are positively correlated with ρ d and negatively correlated with w , and τ is positively correlated with σ . τ and c are greatly affected by n and decay exponentially, while φ is less affected by n and increases slightly linearly. There is a quadratic function relationship between soil τ , φ and RAR , and a Gaussian function relationship between c and RAR . The influencing factors for τ rank in the order: σ > ρ d and RAR > n > w , c is: n > ρ d and RAR > w , φ is: ρ d and RAR > n > w . The interaction between w and n is not significant for τ , c and φ of bare soil and root-soil composite, while the interaction between w and ρ d , n and ρ d , w and RAR , n and RAR is significant for τ , c and φ of bare soil and root-soil composite. Based on the interactions among factors such as w , ρ d , σ , RAR and n ,the general regression model for τ , c , φ , the Coulomb regression model of shear strength, and the Wu regression model for shear strength all perform well. They can be used to estimate the strength of reed root-silty sand in the Inner Mongolia section of the Yellow River, providing technical guidance for riverbank protection engineering.
Source: Scientific Reports
Authors: Penghui Li, Hao Li, Honglan Ji, Hongze Song
Institution: Inner Mongolia Agricultural University
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W7156715693
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