Transforming a Simple Structure Model to Represent a Complex Dynamic System with Unknown Boundary Restraints

Woodall, James; Hossain, Maimuna; Maji, Arup; Moreu, Fernando

doi:10.1007/s40799-021-00494-w

Exp Tech

2021

DOI: 10.1007/s40799-021-00494-w

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Transforming a Simple Structure Model to Represent a Complex Dynamic System with Unknown Boundary Restraints

James Woodall

Maimuna Hossain

Arup Maji

et al.

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2023

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Cited by 1 publication

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Quantification and prediction of error in MIMO tests

Yousef,

Moreu,

Maji

2023

Journal of Vibration and Control

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Dynamic testing of systems is most realistic of real-world conditions when multiple input and multiple output (MIMO) techniques are used. To replicate measured environmental conditions, a series of desired outputs (responses) on the system must be realized by inverting the frequency response functions (FRF) matrix for input estimation. System identification is dependent on the number of inputs and outputs, which affect the type of solutions. In input estimation, the auto spectra of the determined inputs are affected by both the auto spectra and cross spectra of the desired outputs. This research evaluates errors and investigates two sources in an experimental setting. The first significant error source is test-to-test variability in FRFs from system identification tests, quantified by magnitude variability from long-duration tests. The second significant error source is the realization of time histories from frequency domain inputs. The spectral content of the realized random process deviates from the desired content and is also quantified. The structure is a linear three-story frame fixed at the base; two inputs are provided uniaxially with the use of suspended electrodynamic shakers. The proposed model for error sources was found to be effective in predicting errors in a SISO (single-input single-output) and a square (2-input 2-output) MIMO test.

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Quantification and prediction of error in MIMO tests

Yousef,

Moreu,

Maji

2023

Journal of Vibration and Control

View full text Add to dashboard Cite

show abstract

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Transforming a Simple Structure Model to Represent a Complex Dynamic System with Unknown Boundary Restraints

Cited by 1 publication

References 23 publications

Quantification and prediction of error in MIMO tests

Quantification and prediction of error in MIMO tests

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