Evaluating New Nonlinear System Identification Methods on Curved Beams

This chapter explores the application of recent nonlinear identification methods to measurements from structures where traditional methods have failed. Specifically, curved beams that exhibit geometric nonlinearity, softening–hardening, and snap-through behavior and strong modal coupling. System identification is performed using steady-state input–output measurements, using two recently presented methods, the inverse SNRM-based algorithm by Kwarta and Allen, and the sparse identification method by Breunung et al. The latter produces excellent results and new insights regarding what terms are needed to model a structure such as this.