Einführung in Theorie und Praxis der Zeitreihen- und Modalanalyse

Natke, H. G.

doi:10.1007/978-3-322-94266-1

Cited by 99 publications

(41 citation statements)

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“…They were found to be 2W270 Hz and 2 W 550 Hz, respectively. A reverse similarity transformation ∑ø∑ T [Natke, 1992] gives the values of the desired modified stiffness matrix. These values were compared to the set of test values mentioned before.…”

Section: Modal Analysis Of An Elastically Supported Rodmentioning

confidence: 99%

Measurements of Ossicular Vibrations in the Middle Ear

Schön

Müller²

1999

Audiol Neurotol

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The vibrations of the ossicles were measured with a laser Doppler vibrometer in temporal bone specimens. The data contradicted the generally accepted view that the malleus and incus rotate about a fixed axis. The vibrations of the ossicles show a more complex pattern and, consequently, a more sophisticated model is needed to portray the behaviour of the middle ear in a satisfactory manner. But in turn models with many degrees of freedom make the identification process a very difficult task. This dilemma can be resolved if the system is divided into subsystems of less complexity where each subsystem can be studied in an appropriate manner. The excitation by electrostatic forces, as applied in this study, seems to be a powerful tool to make possible a study of parts of the ossicular chain.

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Section: Modal Analysis Of An Elastically Supported Rodmentioning

confidence: 99%

Measurements of Ossicular Vibrations in the Middle Ear

Schön

Müller²

1999

Audiol Neurotol

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“…The sensitivity method [2][3][4][5] in its deterministic form has already been very successful in numerous updating exercises carried out on large-scale industrial structures (e.g. [22,23]), including updating of FE models with nonlinear stiffness and damping terms [33].…”

Section: The Sensitivity Methodsmentioning

confidence: 99%

“…The statistical approach of Collins et al in 1974 [1] is the source of two streams of research on (i) sensitivity-based [2][3][4][5] and (ii) Bayesian methods [6][7][8] that have developed largely independently. The purpose of this paper is to make a comparison of these two approaches in terms of the claims made for them, the assumptions upon which the methods are based and an assessment of the performance of the techniques when applied to the same experimental data from the DLR AIRcraft MODel (AIRMOD) [9,10].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data

et al. 2017

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Deterministic model updating is now a mature technology widely applied to large-scale industrial structures. It is concerned with the calibration of the parameters of a single model based on one set of test data. It is, of course, well known that different analysts produce different finite element models, make different physicsbased assumptions, and parameterize their models differently. Also, tests carried out on the same structure, by different operatives, at different times, under different ambient conditions produce different results. There is no unique model and no unique data. Therefore, model updating needs to take account of modeling and test-data variability. Much emphasis is now placed on what has become known as stochastic model updating where data are available from multiple nominally identical test structures. In this paper two currently prominent stochastic model updating techniques (sensitivity-based updating and Bayesian model updating) are described and applied to the DLR AIRMOD structure.

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“…It should be noted that, in addition to making the calibration process more signi"cant, the use of a physical model related to the geometric data actually measured also reduces the risk of dealing with a ill-conditioned problem [9].…”

Section: Construction Of a Model To Aid The Identificationmentioning

confidence: 99%