A probabilistic model of uncertainties in the substructures and interfaces of a dynamical system: application to the torsional vibration of a drill-string

Abstract

In this paper a new strategy for modeling uncertainties in the substructures and interfaces of a dynamical system is presented. This strategy is based on (1) the reduction of the dynamical model of each substructure using the Craig-Bampton method and (2) the use of the nonparametric probabilistic approach for the global modeling of uncertainties in each substructure. As an improvement with respect to existing nonparametric methods, the methodology proposed here constructs separated models of uncertainties for the inner and interface degrees of freedom, which allows to control separately the levels of fluctuation induced by these two sources of uncertainties. This methodology is applied for the analysis of the random vibration of a drill-string. Three strategies are compared: (1) a full nonparametric probabilistic approach on all the system, (2) the existing nonparametric probabilistic approach together with the Craig-Bampton substructuring method, and (3) the new nonparametric probabilistic approach proposed here with the separation of the inner and interface degrees of freedom uncertainties. It turns out that, for the same level of uncertainty, the three approaches give similar results but the new approach gives more flexibility for the control of the probabilistic model.

Perturbation based stochastic isogeometric analysis for bending of functionally graded plates with the randomness of elastic modulus

“…Cavdar et al Cavdar et al (2008) applied the perturbation based stochastic finite element method for predicting the response of three-dimension composite frames under earthquake forces. Real et al (2017) proposed the new approach using Craig-Bampton method to model the uncertain dynamic systems.…”