Substructuring in Engineering Dynamics: Emerging Numerical and Experimental Techniques - Daniel Rixen,Randall L. Mayes,Paolo Tiso,Matthew S. Allen,Maarten van der Seijs,Thomas Abrahamsson
Daniel Rixen, Randall L. Mayes, Paolo Tiso, Matthew S. Allen, Maarten van der Seijs, Thomas Abrahamsson
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Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
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 ... Täydellinen kuvaus
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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Daniel Rixen, Randall L. Mayes, Paolo Tiso, Matthew S. Allen, Maarten van der Seijs, Thomas Abrahamsson |
|---|---|
| Julkaisija | Springer Nature Switzerland |
| Series | CISM International Centre for Mechanical Sciences |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783030255343 |