Application of artificial neural network model on back analysis of permeability parameters for unsteady seepage of seawall
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Abstract:
ANSYS was used to perform the finite element analysis of unsteady seepage of seawall. T he osmotic pressure sequence and corresponding permeability parameters were collected to act as the input layer and output layer of the neural network, and the nonlinear mapping relationship between the osmotic pressure and permeability parameters of seawall was developed. Based on the results, the observed osmotic pressure sequence was put into the trained BP neural network to conduct the back analysis of the permeability parameters of seawall. The inversion results were analyzed using the finite element method, which showed that the simulated and measured osmotic pressures at the monitoring points are similar.
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