Abstract:The reliability analysis performance of civil aircraft structures directly affects whether the corresponding functions can be realized normally. To improve the accuracy and efficiency of reliability analysis of nose wheel steering gear, an improved Kriging based on classification enhancement strategy (IK-CES) is proposed. The classification enhancement strategy aims to achieve global optimization of the design point for the failure domain through population classification and individual incentives. Improving Kriging by incorporating the indicative impact of samples on the overall functional function into the Kriging modeling mechanism, which adaptively simulates the functional relationship between input variables and output response. Taking the bending stress of the nose wheel steering gear of civil aircraft as a case study, the effectiveness of the proposed method in functional function modeling and failure probability estimation is verified by combining finite element analysis data. The case results show that the proposed IK-CES method can capture the optimal design point and minimize the indication error, improve the reliability analysis performance of the bending stress of the nose wheel steering gear of civil aircraft, and ensure the functional realization of the nose wheel steering gear of civil aircraft.