Research on Strain Monitoring Point Optimization of Wing Box Based on Load Inversion

To improve the level of intelligent and information-based design of aircraft structural platform, the key link is to establish a reliable and effective monitoring system. Reasonable selection and optimal arrangement of sensor monitoring points are the key problems to be solved in the establishment of structural health monitoring system. This study is based on a wing box, the research route of monitoring point optimization based on load inversion is given, the correlation coefficient method is used to filter the monitoring points and eliminate a large number of closely related monitoring points, reduction of 996 monitoring points to 13 monitoring points, and the error difference between the actual loading load and the inversion load is obtained by multi-linear regression, the maximum error within 3%, The results show that the method presented in this paper can meet the needs of practical engineering because of its low number of monitoring points and relatively high precision.