Prediction of Hydraulic Conductivity Characteristics of Slurries Using Inverse Analysis
Prediction of Hydraulic Conductivity Characteristics of Slurries Using Inverse Analysis
The finite strain consolidation theory governs the self-weight consolidation of slurries such as mine tailings and dredged clays. It is crucial to understand the consolidation behavior of slurries to design safe and efficient slurry storage facilities. The theory considers compressibility and permeability as functions of void ratio. Experiments for determining the hydraulic conductivity function are time-consuming and require complicated setups. This work explores an inverse analysis approach for predicting the hydraulic conductivity parameters of slurries when the compressibility function is known. The finite difference method is used to solve the governing equation in the forward analysis and the Artificial Bee Colony (ABC) algorithm is used for the backward analysis. Excess pore pressure versus time data for the base of the consolidating slurry sample is the major input for inverse analysis. The method is tested using synthetic input data for two slurries. Predicted functions show good agreement with results obtained from the literature. This method offers a robust and relatively faster approach for the estimation of hydraulic conductivity function parameters of slurries.
A. K. Vasudevan; T. Venkata Bharat
10th European Conference on Numerical Methods in Geotechnical Engineering (NUMGE2023)
5. Probabilistic and inverse analysis
https://doi.org/10.53243/NUMGE2023-414
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