Research on dynamical strength reliability analysis theory and methodology of flexible mechanism

The aim of the research is to present theory and methodology of flexible mechanism dynamical strength reliability analysis. A general model of dynamical strength reliability was introduced for flexible mechanism analysis. Stochastic variables included driven accelerations, driven time, torques, frictions and damps were considered basically. In the first, Monte Carlo (MC) method was applied to generate stochastic variables and dynamical responds of mechanism. Secondly, the application of artificial neural network (ANN) was motivated by the approximate concepts inherent in reliability analysis and time consuming repeated analyses required for MC. Finally, statistical distribution of dynamical stress was yielded from the outputs of ANN. As an example, one expand mechanism model of space station was employed to test this method. Compared with MC method, the results proved that this method could be used to account for the complicated dynamical strength reliability analysis in higher fidelity at a reasonable computational cost.