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Substructuring in Engineering Dynamics = Emerging Numerical and Experimental Techniques /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Substructuring in Engineering Dynamics/ by Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes.
其他題名:	Emerging Numerical and Experimental Techniques /
作者:	Allen, Matthew S.
其他作者:	Mayes, Randall L.
面頁冊數:	X, 277 p. 90 illus., 72 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational Science and Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-25532-9
ISBN:	9783030255329

Substructuring in Engineering Dynamics = Emerging Numerical and Experimental Techniques /
Allen, Matthew S.

Substructuring in Engineering DynamicsEmerging Numerical and Experimental Techniques /[electronic resource] :by Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes. - 1st ed. 2020. - X, 277 p. 90 illus., 72 illus. in color.online resource. - CISM International Centre for Mechanical Sciences, Courses and Lectures,5940254-1971 ;. - CISM International Centre for Mechanical Sciences, Courses and Lectures,559.

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.

Dynamic Substructuring is a method that combines models for the various parts of a structure to estimate the dynamic response or other properties of the assembled structure. The substructure models may be analytical models such as finite element models, or they may be derived from measurements. 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.

ISBN: 9783030255329

Standard No.: 10.1007/978-3-030-25532-9doiSubjects--Topical Terms:

670319
Computational Science and Engineering.

LC Class. No.: TA355

Dewey Class. No.: 620

Substructuring in Engineering Dynamics = Emerging Numerical and Experimental Techniques /
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