The Application of Improved Genetic Algorithm in the Reverse Calculation of Mechanical Parameters of Sluice Foundation

摘要

The global optimization algorithm is the ideal approach to solve the typical complex nonlinear function optimization problem such as engineering inversion analysis. With the efficient ABAQUS kernel solver, the finite element inversion model is established based on quantum genetic algorithm, then use MATLAB programming to realize ABAQUS interface command and establish fitness function with inversion calculation value and measured value of the typical measuring point, thus realizing inversion analysis of physical and mechanical engineering parameters through the intelligent optimization function, which solves the phenomenon of the poor iterations number or convergence speed and being prone to local extremum caused by the improper selection, crossover or mutation operation of traditional genetic algorithm. A sluice foundation mechanical parameters inversion calculation is taken as an example and the inversion results are compared with the traditional GA method, thus illustrating accuracy of this method.