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A comparison of two stochastic model updating methods using the DLR AIRMOD test structure

Govers, Yves and Khodaparast, H.H. and Link, M. and Mottershead, J.E. (2014) A comparison of two stochastic model updating methods using the DLR AIRMOD test structure. Mechanical Systems and Signal Processing, pp. 105-114. Elsevier. doi: 10.1016/j.ymssp.2014.06.003. ISSN 0888-3270.

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The problem of stochastic model updating is addressed by means of the application of two methods (covariance and interval model updating) to the DLR AIRMOD structure which is repeatedly disassembled and reassembled to provide a database of modal variability due to uncertainty in joint and support stiffnesses and masses of cables and screws. The covariance method is based on an assumption of small uncertainty and implemented at each step of an iterative approach by forward propagation of uncertain parameters using a multivariate normal distribution. The interval approach is based on a Kriging meta-model, thereby providing a very efficient surrogate to replace the expensive full finite element model. This allows a mapping from multiple output measurements to define a hypercube bounded by intervals of parameter uncertainty. It is shown that the measured data is fully enclosed by the hyper-ellipses and hypercubes of the covariance and interval methods respectively. As expected, the interval method is found to be more conservative than the covariance approach but still provides useful estimates without restriction by any assumption of probability distribution.

Item URL in elib:https://elib.dlr.de/91518/
Document Type:Article
Title:A comparison of two stochastic model updating methods using the DLR AIRMOD test structure
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Govers, YvesUNSPECIFIEDhttps://orcid.org/0000-0003-2236-596XUNSPECIFIED
Khodaparast, H.H.Centre for Engineering Dynamics, University of LiverpoolUNSPECIFIEDUNSPECIFIED
Link, M.Kassel University, Kassel, GermanyUNSPECIFIEDUNSPECIFIED
Mottershead, J.E.Liverpool University, Liverpool, UKUNSPECIFIEDUNSPECIFIED
Journal or Publication Title:Mechanical Systems and Signal Processing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 105-114
Keywords:uncertainty, joints, covariance and interval model updating, meta-model, AIRMOD structure
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Göttingen
Institutes and Institutions:Institute of Aeroelasticity > Structural Dynamics and System Identification
Deposited By: Grischke, Birgid
Deposited On:23 Dec 2014 14:49
Last Modified:29 Nov 2023 08:32

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