Notice of RetractionParameters identification of coupled seepage and stress field based on genetic algorithms

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

For rock mechanics and civil engineering, how to obtain the parameters in seepage field and stress field is very complicated and key for analyzing the coupling problem of seepage field and stress field. Therefore, aim of this paper is to study the parameter inversion method with which the parameters of two fields can be obtained. On the basis of the hydraulic heads and displacements measured, combining with genetic algorithm, the parameter inversion method of coupled seepage and stress field is putting forward. Considering the condition of drawdown of reservoir water level, according to results of coupled seepage and stress analysis assumed to be the measured data, the parameter inversion analysis was made. The results show that the method and calculation program of inverse analysis are valid and feasible in this engineering example.