Rock and Soil Mechanics ›› 2024, Vol. 45 ›› Issue (9): 2527-2538.doi: 10.16285/j.rsm.2023.1584

• Fundamental Theory and Experimental Research •     Next Articles

Predictive model for solute transport in a rough rock fracture based on fractal theory

MIAO Ke-han, HUANG Yong, MA Xiao-fan, WANG Chao-qi   

  1. School of Earth Sciences and Engineering, Hohai University, Nanjing, Jiangsu 211100, China
  • Received:2023-10-21 Accepted:2023-11-30 Online:2024-09-06 Published:2024-08-30
  • Supported by:
    This work was supported by the National Natural Science Foundation of China Yangtze River Water Science Research Joint Fund Project (U2240217).

Abstract:

To investigate the effect of fracture surface roughness on solute transport in a rough fracture and the effect on the hydrodynamic dispersion coefficient DL and transport velocity Vt, roughness and hydraulic aperture of various fractures under constant head were calculated using fractal theory. The study discussed the influence of roughness on solute transport in rough fractures, as well as the seepage flow and solute velocity with different fractal dimensions. Breakthrough curves were generated by integrating the Navier-Stokes equation and the advection-diffusion equation (ADE). The breakthrough curves from direct simulation were coupled using the classical ADE approach. Subsequently, DL and Vt were determined. The study explored the control exerted by DL and Vt on solutes and their correlation with roughness. A prediction model based on fractal theory for solute transport in rough fractures was established and compared with direct simulation and geometric feature-based models. Results indicate that fractal dimension D and amplitude parameter Kv effectively characterize surface roughness, with a strong correlation between DL, Vt, and fractal parameter DKv. The established model demonstrates high applicability and accuracy in simulating solute transport in rough fractures.

Key words: rock mechanics, rough single fracture, solute transport, fracture roughness, fractal theory

CLC Number: 

  • TU452
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