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2024 | OriginalPaper | Chapter

Evaluating New Nonlinear System Identification Methods on Curved Beams

Authors : Thomas Breunung, Michael Kwarta, Matthew S. Allen

Published in: Nonlinear Structures & Systems, Vol. 1

Publisher: Springer Nature Switzerland

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Abstract

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.

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Metadata
Title
Evaluating New Nonlinear System Identification Methods on Curved Beams
Authors
Thomas Breunung
Michael Kwarta
Matthew S. Allen
Copyright Year
2024
DOI
https://doi.org/10.1007/978-3-031-69409-7_20