Substructuring in Engineering Dynamics

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Sprache: Englisch

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Beschreibung

This book reviews the most common state-of-the art methods for substructuring and model reduction and presents a framework that encompasses most method, highlighting their similarities and differences. For example, popular methods such as Component Mode Synthesis, Hurty/Craig-Bampton, and the Rubin methods, which are popular within finite element software, are reviewed. Similarly, experimental-to-analytical substructuring methods such as impedance/frequency response based substructuring, modal substructuring and the transmission simulator method are presented. The overarching mathematical concepts are reviewed, as well as practical details needed to implement the methods. Various examples are presented to elucidate the methods, ranging from academic examples such as spring-mass systems, which serve to clarify the concepts, to real industrial case studies involving automotive and aerospace structures. The wealth of examples presented reveal both the potential and limitations of the methods.

Zusammenfassung

First book to focus on dynamic substructuring, including both experimental and numerical techniques; there is increasing interest in these methods both in industry and the research community

Introduces concepts using a common framework to explain the fundamental ideas for experimental and numerical approaches

Addresses experimental methods, covering some of the practical aspects that need to be taken into account when applying experimental substructuring to real structures

Inhaltsverzeichnis

Introduction and motivation.- Preliminaries: primal and dual assembly of dynamic models.- Model reduction concepts and subsctructuring approaches for linear systems.- Experimental substructuring.- Industrial applications related concepts.- Model reduction concepts and substructuring approaches for non-linear systems.- Weakly nonlinear systems: modeling and experimental methods.- References

Details

Erscheinungsjahr:	2020
Fachbereich:	Fertigungstechnik
Genre:	Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	x 277 S. 18 s/w Illustr. 72 farbige Illustr. 277 p. 90 illus. 72 illus. in color.
ISBN-13:	9783030255343
ISBN-10:	3030255344
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Allen, Matthew S. Rixen, Daniel Mayes, Randall L. Tiso, Paolo Abrahamsson, Thomas Seijs, Maarten van der
Auflage:	1st edition 2020
Hersteller:	Springer International Publishing
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 16 mm
Von/Mit:	Matthew S. Allen (u. a.)
Erscheinungsdatum:	25.08.2020
Gewicht:	0,441 kg