The invention relates to the technical field of digital twinning, in particular to a hub type transmission device
composite material performance prediction method based on digital twinning, which comprises the following steps: acquiring geometric information of a hub type transmission device, constructing a digital twinning analysis model, acquiring working condition information,
dynamic balance parameters and corresponding
response characteristics of the hub type transmission device in real time by using various sensors, and calculating the performance of the hub type transmission device. And establishing
association mapping of geometric morphology, material characteristics and mechanical parameters, and generating a
model parameter set. According to the method, through dynamic correlation mapping of geometric information, material characteristics and mechanical parameters and in combination with real-time working condition data, accurate
simulation of the running state of the hub device is achieved, the precision of material wear
trend prediction is optimized, the accuracy of crack propagation
trend analysis is improved, and the
fatigue damage rate is analyzed through the crack
stress gradient and the
fatigue damage rate. The reliability of material life prediction is remarkably enhanced, the material performance degradation level under the influence of
multiple factors is quantified, and the accuracy of service performance evaluation of the hub type transmission device
composite material is improved.