Abstract
The Craig-Bampton method in micro-vibration analysis is a widely applied tool to reduce computational effort when dealing with complex assemblies. However, structural uncertainties tend to arise and undermine the reliability of deterministic tools such as finite element method. Hence, the aim of this paper is to investigate a stochastic version of the classic Craig-Bampton approach by estimating perturbation parameters directly linked to structural uncertainties. It is shown that the proposed approach can be ultimately configured as an optimisation black box tool to update the finite element model by improving the model correlation with test data. In addition it provides useful insight on the distribution of perturbation parameters to account for structural uncertainties in the analysis. Applications to real satellite platforms are shown to validate the approach with different optimisation functions based on the modal dynamics requirements.
•A set of stochastic distributions for Craig-Bampton perturbation parameters is provided.•Eigenvalues and mass related terms are quantified.•Model correlation between test and numerical data is enhanced.•Easily applicable to several scenarios by tailoring the optimisation cost function.