Nonlinear system identification is a vast research field, today attracting a great deal of
attention in the structural dynamics community. Ten years ago, an MSSP paper reviewing …

Backbone curves can offer valuable insight into the behaviour of nonlinear systems along
with significant information about any coupling between the underlying linear modes in their …

Although the identification and analysis of structures with a localized nonlinearity, either
weak or strong, is within reach, identification of multiple nonlinearities coexisting at different …

This paper presents a Bayesian model updating and model class selection approach based
on nonlinear normal modes (NNMs). The performance of the proposed approach is …

Nonlinear system identification is a challenging task in view of the complexity and wide
variety of nonlinear phenomena. The present paper addresses the identification of a real-life …

This work presents a conceptually simple experiment consisting of a cantilever beam with a
nonlinear spring at the tip. The configuration allows manipulation of the relative spacing …

This paper investigates the dynamics of a real-life aerospace structure possessing a strongly
nonlinear component with multiple mechanical stops. A full-scale finite element model is …

Background Various nonlinear system identification methods applicable to distributed
nonlinearities have been developed over the last decade. However, many of them are not …

This paper presents a method for the dynamic identification of structures containing discrete
nonlinear stiffnesses. The approach requires the structure to be excited at a single resonant …

This paper introduces a method for the identification of the parameters of nonlinear
structures using a probabilistic Bayesian framework, employing a Markov chain Monte Carlo …