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2021 | OriginalPaper | Buchkapitel

27. Nonlinear System Identification of a Jointed Structure Using Full-Field Data: Part II Analysis

verfasst von : Giancarlo Kosova, Mengshi Jin, Mattia Cenedese, Wei Chen, Aryan Singh, Debasish Jana, Matthew R. W. Brake, Christoph W. Schwingshackl, Satish Nagarajaiah, Keegan J. Moore, Jean-Philippe Noël

Erschienen in: Nonlinear Structures & Systems, Volume 1

Verlag: Springer International Publishing

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Abstract

Mechanical joints have a significant influence on the dynamic response of assembled structures. Due to friction, wear, and non-idealized boundary conditions, joints introduce significant nonlinearity into the dynamics of assembled structures. To better understand and, in the future, tailor the nonlinearities, accurate methods are needed to characterize the dynamic properties of jointed structures. In this research, the response analysis for a beam with a bolted lap joint is studied with the help of several available identification techniques. The experimental setup and data capture are described in Part I of this work, providing high spatial resolution data for a variety of excitation methods. The nonlinear identification of the data is the focus of this paper, aiming to perform nonlinear modal analysis and to localize the nonlinear characteristics of the structure with a series of different approaches.

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Metadaten
Titel
Nonlinear System Identification of a Jointed Structure Using Full-Field Data: Part II Analysis
verfasst von
Giancarlo Kosova
Mengshi Jin
Mattia Cenedese
Wei Chen
Aryan Singh
Debasish Jana
Matthew R. W. Brake
Christoph W. Schwingshackl
Satish Nagarajaiah
Keegan J. Moore
Jean-Philippe Noël
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-47626-7_27