Substructuring in Engineering Dynamics: Emerging Numerical and Experimental Techniques

Author:   Matthew S. Allen ,  Daniel Rixen ,  Maarten van der Seijs ,  Paolo Tiso
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   594
ISBN:  

9783030255343


Pages:   277
Publication Date:   25 August 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Substructuring in Engineering Dynamics: Emerging Numerical and Experimental Techniques


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Overview

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.

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Author:   Matthew S. Allen ,  Daniel Rixen ,  Maarten van der Seijs ,  Paolo Tiso
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   594
Weight:   0.444kg
ISBN:  

9783030255343


ISBN 10:   3030255344
Pages:   277
Publication Date:   25 August 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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