Parameter Estimation and Uncertainty Quantification of a Subframe with Mass Loaded Bushings

Gibanica, Mladen; Abrahamsson, Thomas

doi:10.1007/978-3-319-54858-6_7

Cited by 5 publications

(2 citation statements)

References 16 publications

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“…For each of the shaker locations, a total of 2998 different frequencies were excited in the frequency range between 60 and 500 Hz with a frequency spacing derived according to the method described in Vakilzadeh et al (2015). For further details of the experiment, refer to Gibanica and Abrahamsson (2017). Using the frequency domain subspace method described in McKelvey et al (1996), an initial continuous-time model was derived of order 40 with 56 outputs and 2 inputs.…”

Section: Discrete-time Models With Time Domain Datamentioning

confidence: 99%

Improving Linear State-Space Models with Additional Iterations

et al. 2018

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An estimated state-space model can possibly be improved by further iterations with estimation data. This contribution specifically studies if models obtained by subspace estimation can be improved by subsequent re-estimation of the B, C, and D matrices (which involves linear estimation problems). Several tests are performed, which shows that it is generally advisable to do such further re-estimation steps using the maximum likelihood criterion. Stated more succinctly in terms of MATLAB R functions, ssest generally outperforms n4sid.

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Section: Discrete-time Models With Time Domain Datamentioning

confidence: 99%

Improving Linear State-Space Models with Additional Iterations

et al. 2018

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“…Successful results have been obtained in previous studies using this method on various structures, e.g. see [1,2,13,16,21,33]. In the calibration procedure, a parametrised surrogate model of the FE model around the nominal parameter setting is first created.…”

Section: Introductionmentioning

confidence: 99%

Model Updating of Multiple Nominally Identical Car Components

2020

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A method for estimation of rubber bushing stiffness parameters is presented. Four individual rubber bushings, mounted in a car rear subframe are considered. A traditional model of the bushing elements using a generalised spring model, known as a CBUSH element in Nastran, is compared to a geometrically more realistic approach where the bushing is modelled with solid elements and a linear elastic material model. Each bushing is mass loaded to better reveal the bushing's dynamic behaviour in a lower frequency range of interest. In an initial step, the overall subframe model is updated towards test data. In a second step, the bushing parameters are updated. Three nominally identical components are used to investigate the spread between the identified parameters. The model updating procedure is based on frequency responses and equalised damping. The undamped behaviour at frequencies below 300 Hz are considered. To quantify the parameter uncertainty, with respect to measurement noise for each individual, an uncertainty quantification procedure is proposed, using a linear-in-parameters surrogate model with bootstrapping.Experimental Techniques (2020) 44:391-407Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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