Code for: Exact and Numerically Stable Expressions for Euler-Bernoulli and Timoshenko Beam Modes

Published: 9 Nov 2018 | Version 1 | DOI: 10.17632/r275tx2yp8.1

Description of this data

This data contains the Matlab files needed to obtain the exact and numerically stable eigenvalues and the eigenmodes for both the Timoshenko and the Euler-Bernoulli beam models. The corresponding Finite element code is also included for comparing and verifying the resulting eigenvalues and eigenfunctions. The numerical stabilization of the eigenvalue problem allows the computation of arbitrarily large modes; which up until now was very limited especially for Timoshenko beams.

If you use this code in your work, please cite the corresponding article which is linked to this repository (see the related links section).

Experiment data files

Steps to reproduce

The code uses and requires downloading Matlab's chebfun package. The location of the that package must be added to Matlab's path before the code in the repo can be used.

Related links

Latest version

  • Version 1

    2018-11-09

    Published: 2018-11-09

    DOI: 10.17632/r275tx2yp8.1

    Cite this dataset

    Khasawneh, Firas; Segalman, Daniel (2018), “Code for: Exact and Numerically Stable Expressions for Euler-Bernoulli and Timoshenko Beam Modes”, Mendeley Data, v1 http://dx.doi.org/10.17632/r275tx2yp8.1

Institutions

Michigan State University

Categories

Numerical Algorithm, Vibration, Euler-Bernoulli Beam Theory, Beam Theory, Eigenvalue Problems

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Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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