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Nonlinear system identification in structural dynamics: 10 more years of progress
Ist Teil von
Mechanical systems and signal processing, 2017-01, Vol.83, p.2-35
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2017
Link zum Volltext
Quelle
Elsevier ScienceDirect Journals Complete
Beschreibungen/Notizen
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 the progress achieved until then [1] concluded that the identification of simple continuous structures with localised nonlinearities was within reach. The past decade witnessed a shift in emphasis, accommodating the growing industrial need for a first generation of tools capable of addressing complex nonlinearities in larger-scale structures. The objective of the present paper is to survey the key developments which arose in the field since 2006, and to illustrate state-of-the-art techniques using a real-world satellite structure. Finally, a broader perspective to nonlinear system identification is provided by discussing the central role played by experimental models in the design cycle of engineering structures.
•Nonlinear system identification attracts a great deal of attention in structural dynamics.•The key developments which arose in the field since 2006 are surveyed.•State-of-the-art techniques are illustrated using a real-world satellite structure.•A broader perspective to nonlinear system identification is provided.