A model updating study of the GARTEUR aircraft model is conducted using an interval model updating method based on the adaptive Kriging model. Firstly, the modal analysis of the GARTEUR aircraft model is studied, and the material parameters in the model that have a large influence on the response are established by the Spearman correlation analysis combined with engineering experience. The universal grey number theory is introduced to transform the interval model updating problem into an optimization problem about the upper bounds of the interval and the diameter of the interval. The relationship between model inputs and outputs is constructed by an adaptive Kriging model construction method. The particle swarm algorithm is used to solve the objective functions of the upper bound of the interval and the diameter of the interval to complete the model updating. The results show that the errors of the upper and lower bounds of the updated parameter intervals meet the requirements of engineering accuracy, and the model has good prediction accuracy, which verifies the feasibility and accuracy of the adopted interval model updating method.