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Dataset . 2022
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Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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System identification on a nonlinear cantilever-type beam

Research datakeyboard_double_arrow_right Dataset 27 Oct 2022Publisher:Zenodo
Authors: M Wasi Ahmadi; Thomas L. Hill; Jason Z Jiang; Simon A. Neild;

doi: 10.5281/zenodo.7257894 , 10.5281/zenodo.8114175 , 10.5281/zenodo.7789644

System identification on a nonlinear cantilever-type beam

Abstract

The zip file includes the algorithm and data used for system identification of a nonlinear cantilever-type beam system. The Abaqus .inp file is also included. The data and the algorithm is written in MATLAB and there are two sets of data one is the full FE model data and the other is a simulated experimental (SE) data. The mode shape matrix 'Phi' and squared natural frequencies 'Om2' matrix are derived from a prior linear modal analysis and included as '.mat' files.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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