Correlation of finite element models of multi-physics systems

Sairajan, Kolasseri Kuttapan; Aglietti, Guglielmo S.; Walker, Scott J.I.

doi:10.1016/j.jsv.2014.04.010

Cited by 8 publications

(2 citation statements)

References 20 publications

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“…Moreover this is coherent with the classical approach in structural dynamics where only the physical-state version (17) is commonly used. Suitable correlation criteria for multiphysics systems are very little discussed in the literature [38]. The use of a coherent weighting matrix is of first importance for multiphysics applications, in particular when the orders of magnitude of the chosen physical variables are different, which is typically the case in most of practical problems in vibroacoustics.…”

Section: Correlation Criterionmentioning

confidence: 99%

Model correlation and identification of experimental reduced models in vibroacoustical modal analysis

Ouisse

Foltête

2015

Journal of Sound and Vibration

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a b s t r a c tAn important issue in vibroacoustics is the topic of verification and validation of models for design. This paper addresses several points in this context: model correlation, optimal test design and identification of reduced models. Model correlation criteria like modal assurance criteria (MAC) are widely used in structural dynamics in order to check the spatial coincidence between two sets of vectors. This concept is extended here to vibroacoustic couplings, together with optimal test design strategies: on the basis of a given model, they allow finding of the best sensors and actuator placements for the modal analysis. Finally, the last part of the paper proposes a methodology allowing identification of experimental reduced models from the knowledge of the complex modes issued from the vibroacoustical modal analysis. Both numerical and experimental results are used to check the efficiency of the procedure.

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Section: Correlation Criterionmentioning

confidence: 99%

Model correlation and identification of experimental reduced models in vibroacoustical modal analysis

Ouisse

Foltête

2015

Journal of Sound and Vibration

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“…The BFAC can also be used to analyze the sensitivity of a particular change incorporated on a complex FEM in the prediction of the forced response characteristics [15]. In addition, the BFAC can be used for the prediction of the loss factor of highly damped systems [16]. Moreover, the parameters obtained from the dynamic test or analysis can be used for many applications, such as the experimentally determined base forces are used to estimate the effective mass of the modes during the sine excitation [17]; Steenackers et al [18] used the transmissibility function to update the mathematical model.…”

mentioning

confidence: 99%

Use of Base Force Assurance Criterion for Spacecraft Structure Model Correlation

Sairajan

Patnaik

Deshpande

et al. 2015

Journal of Spacecraft and Rockets

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Base excitation analysis is widely used to predict the dynamic behavior of the structure, such as a spacecraft, and these results are generally verified by the dynamic testing. The standard correlation criteria, such as the modal assurance criterion and normalized cross-orthogonality check, are found to be insufficient for assuring the quality of the finite element model of the structure under base excitation. Here, to overcome these difficulties, the recently introduced base force assurance criterion is used to assess the correlation between the analytical and the experimental dynamic characteristics. The procedure is demonstrated using the experiment performed on a cantilever and two real spacecraft structures. The force transmitted to the base during the base excitation test and those calculated using the Craig-Bampton method are used to determine the base force assurance criterion for all three structures in different directions of excitation. It is demonstrated that the criterion can reasonably well predict the error in the absolute acceleration and the error in the natural frequencies of the fundamental modes, and it avoids the expensive modal testing for correlation. Nomenclature a Exp = measured peak acceleration, g a FEM = analytical peak acceleration, g F = force transmitted to the base, N g = acceleration due to gravity, ms −2 i = imaginary unit, −1 p M BB = mass matrix reduced to the boundary M mB = reduced couple mass matrix M SEREP = reduced mass matrix using system equivalent reduction expansion process P = experimentally measured base force, N p iB = modal participation factor, kg q m = modal acceleration x R = acceleration at the base, g ζ = modal damping ϕ = analytical mode shape ψ = experimentally measured mode shape Ω = forcing frequency, rad∕s ω = circular natural frequency, rad∕s Subscripts B = boundary degrees of freedom j, k = direction of force m = number of modes used in the Craig-Bampton reduction r, s = number of target modes Superscript T = matrix transpose

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Computational Modelling and Analysis of Effect of Viscoelastic Materials on Damping and Vibrational Behaviors of Composite Structures—An Extensive Review

Elmoghazy,

Safaei,

Asmael

et al. 2024

Arch Computat Methods Eng

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Correlation of finite element models of multi-physics systems

Cited by 8 publications

References 20 publications

Model correlation and identification of experimental reduced models in vibroacoustical modal analysis

Model correlation and identification of experimental reduced models in vibroacoustical modal analysis

Use of Base Force Assurance Criterion for Spacecraft Structure Model Correlation

Computational Modelling and Analysis of Effect of Viscoelastic Materials on Damping and Vibrational Behaviors of Composite Structures—An Extensive Review

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