Mechanism reliability analysis based on Kriging model and genetic algorithm

The influential factors of the mechanism include dimensional errors, assembling errors, friction coefficients, errors of input driving velocities, external loads, etc. The paper uses Kriging model to build the mechanism model by fitting the Monte Carlo sampling simulation data of the mechanism based on multi-body system dynamics theory which can synthetically include the influence of the above influential factors. Then the genetic algorithms are used to solve the reliability of the mechanism, combined with the fast surrogate Kriging model instead of the mechanism itself. According to the example, the use of the Kriging model and genetic algorithms can help improve computation efficiency and accuracy.