Fatigue Reliability Analysis on Connecting Rod of Automobile Engine Using Artificial Neural Network Method

The artificial neural network method is adopted to solve the reliability analysis of the automobile engine. When the limit state function of structure is highly complex or with non-linearity, it is time-consuming to calculate the reliability with traditional reliability methods. The artificial neural network method is used to analyze the fatigue reliability of connecting rod of automobile engine. The working process of the connecting rod is simulated with UG software, the dynamics analysis on crank-connecting rod-piston mechanism is performed with ANSYS and ADAMS software, with the finite element analysis results, the stress information of the critical point of the connecting rod can be obtained, so the performance function of the structure can be established. The artificial neural network method is used to fit the performance function as well as its derivatives, so as to calculate the reliability of the structure.