Skip to main content
SpringerLink
Log in

Substructuring in Engineering Dynamics

Emerging Numerical and Experimental Techniques

  • Book
  • © 2020

Overview

Authors:
  1. Matthew S. Allen

    1. Department of Engineering Physics, University of Wisconsin–Madison, Madison, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Daniel Rixen

    1. Lehrstuhl für Angewandte Mechanik, Technische Universität München, Munich, Germany

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Maarten van der Seijs

    1. Vibes Technology, Delft, The Netherlands

    View author publications

    You can also search for this author in PubMed   Google Scholar

  4. Paolo Tiso

    1. D-MAVT, ETH Zürich, Zürich, Switzerland

    View author publications

    You can also search for this author in PubMed   Google Scholar

  5. Thomas Abrahamsson

    1. Chalmers University of Technology, Göteborg, Sweden

    View author publications

    You can also search for this author in PubMed   Google Scholar

  6. Randall L. Mayes

    1. Sandia National Laboratories, Albuquerque, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

Part of the book series: CISM International Centre for Mechanical Sciences (CISM, volume 594)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 199.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction and Motivation

    • Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes
    Pages 1-4

  3. Preliminaries: Primal and Dual Assembly of Dynamic Models

    • Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes
    Pages 5-24

  4. Model Reduction Concepts and Substructuring Approaches for Linear Systems

    • Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes
    Pages 25-73

  5. Experimental Substructuring

    • Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes
    Pages 75-181

  6. Industrial Applications & Related Concepts

    • Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes
    Pages 183-231

  7. Model Reduction Concepts and Substructuring Approaches for Nonlinear Systems

    • Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes
    Pages 233-267

  8. Weakly Nonlinear Systems: Modeling and Experimental Methods

    • Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes
    Pages 269-277
Back to top

Keywords

About this book

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.

Authors and Affiliations

  • Department of Engineering Physics, University of Wisconsin–Madison, Madison, USA

    Matthew S. Allen

  • Lehrstuhl für Angewandte Mechanik, Technische Universität München, Munich, Germany

    Daniel Rixen

  • Vibes Technology, Delft, The Netherlands

    Maarten van der Seijs

  • D-MAVT, ETH Zürich, Zürich, Switzerland

    Paolo Tiso

  • Chalmers University of Technology, Göteborg, Sweden

    Thomas Abrahamsson

  • Sandia National Laboratories, Albuquerque, USA

    Randall L. Mayes

Bibliographic Information

  • Book Title: Substructuring in Engineering Dynamics

  • Book Subtitle: Emerging Numerical and Experimental Techniques

  • Authors: Matthew S. Allen, Daniel Rixen, Maarten van der Seijs, Paolo Tiso, Thomas Abrahamsson, Randall L. Mayes

  • Series Title: CISM International Centre for Mechanical Sciences

  • DOI: https://doi.org/10.1007/978-3-030-25532-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: CISM International Centre for Mechanical Sciences 2020

  • Hardcover ISBN: 978-3-030-25531-2Published: 24 August 2019

  • Softcover ISBN: 978-3-030-25534-3Published: 25 August 2020

  • eBook ISBN: 978-3-030-25532-9Published: 01 August 2019

  • Series ISSN: 0254-1971

  • Series E-ISSN: 2309-3706

  • Edition Number: 1

  • Number of Pages: X, 277

  • Number of Illustrations: 18 b/w illustrations, 72 illustrations in colour

  • Topics: Vibration, Dynamical Systems, Control, Solid Mechanics, Computational Science and Engineering

Publish with us

Policies and ethics

Back to top

Search

Navigation