(1. School of Civil Engineering，Suzhou University of Science and Technology，Suzhou，Jiangsu 215000，China；2. School of Mining Engineering，Anhui University of Science and Technology，Huainan，Anhui 232000，China；3. Faculty of Engineering，
National University of Singapore，Singapore 119077，Singapore；4. School of Civil Engineering，Anhui University
of Science and Technology，Huainan，Anhui 232000，China；5. Institute of Rock and Soil Mechanics，Chinese
Academy of Sciences，Wuhan，Hubei 430071，China)
Abstract：In order to accurately predict the penetration grouting radius in coarse-grained soil，a method for identificating geometrical characteristics of microscale particle and resconstructing mesosceale grouting channels based on the geometrical characteristic of stacked particles was put forward. And combining these two methods and the largescale grouting diffusion model，a multiscale penetration grouting radius prediction model was established. First，based on the mesoscale CT sectional images of geomaterials and employing the geometric characteristics identification method(GIM)，the ellipticity，roughness，long-axis inclination and size of the stacked particles were identified. Then，employing the grouting channel reconstruction method(GRM)，the penetration channel model was reconstructed according to the obtained parameters，porosity and gradation. According to the reconstructed model，the mesoscale penetration diffusion model with statistical significance was obtained using the multi-field coupled finite element method(FEM) and Monte Carlo method(MC). Coupling the mesoscale penetration diffusion model and the largescale grouting diffusion model according to the seepage field results in the multiscale prediction model of penetration diffusion radius. Compared to the existing experimental results，the rationality of the prediction model is verified(the error is less than 10%). Finally，based on the proposed method，this paper systematically studied the influences of ellipticity，roughness，particle size，porosity，long-axis inclination，time-varying factor and average slurry viscosity on grouting diffusion radius. The affecting relationship in reducing order is：particle size，average slurry viscosity，long axis inclination，time-varying factor，porosity，ellipticity and roughness，and the Pearson coefficient is 0.5，－0.374，－0.238，－0.188，0.161，－0.036，－0.019，respectively. Through the analysis of the grouting diffusion process，it is found that the influence mechanism of the geometric characteristics of the stacked particles on grouting diffusion mainly includes the“pore-throat constraint”，“inertia resistance”，“channel width”and“fluid-solid interface”effect.
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2023, Vol. 42 
