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Using stochastic experimental modal data for identifying stochastic finite element parameters of the AIRMOD benchmark structure

Govers, Yves and Link, Michael (2012) Using stochastic experimental modal data for identifying stochastic finite element parameters of the AIRMOD benchmark structure. In: Proceedings of ISMA 2012. ISMA 2012 - International Conference on Noise and Vibration Engineering, 17.-19. Sept. 2012, Leuven, Belgien.

Full text not available from this repository.

Abstract

Stochastic simulations are more and more used in industrial scale applications to determine the probabilistic description of desired responses. Consequently the need to improve the credibility of the randomised input parameters has come up. To identify parameter stiffness values of e.g. a bolted joint connection in a serial production process in terms of means and covariances an inverse procedure must be applied to a set of uncertain data. In the past five years several stochastic model updating (SMU) procedures in the field of structural dynamics have been published. Nevertheless an application to a set of uncertain experimental modal data that characterises variability from production tolerances is still missing. In an extensive modal test campaign a generic AIRcraft MODel (AIRMOD), which is a replica of the GARTEUR SM-AG19 benchmark, frequency response functions (FRF) from random excitation have been measured 130 times at the German Aerospace Center (DLR) in Göttingen. Between succeeding tests the bolted joint aluminium structure has been disand reassembled to introduce locally well-defined stiffness variability. The FRFs have been evaluated with an automated modal parameter estimation technique. Up to 30 different modes have been identified in each sample. The uncertain eigenfrequencies and mode shapes from the experimental modal analysis are utilised to identify model parameter means and covariance matrix using a method described in [6]. Therefore 18 random variables have been chosen in combination with 14 modes in the residual, the rest is taken to check the prediction quality of the adjusted stochastic finite element model.

Item URL in elib:https://elib.dlr.de/79056/
Document Type:Conference or Workshop Item (Speech, Paper)
Title:Using stochastic experimental modal data for identifying stochastic finite element parameters of the AIRMOD benchmark structure
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Govers, Yvesyves.govers (at) dlr.deUNSPECIFIED
Link, MichaelUniversity of Kassel, Institute of Statistics and DynamicsUNSPECIFIED
Date:2012
Journal or Publication Title:Proceedings of ISMA 2012
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:AIRMOD, structural dynamics, stochastic model updating, uncertainty
Event Title:ISMA 2012 - International Conference on Noise and Vibration Engineering
Event Location:Leuven, Belgien
Event Type:international Conference
Event Dates:17.-19. Sept. 2012
Organizer:Katholieke Universiteit Leuven
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Aircraft Research (old)
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Simulation & Validation (old)
Location: Göttingen
Institutes and Institutions:Institute of Aeroelasticity
Deposited By: Erdmann, Daniela
Deposited On:19 Dec 2012 16:59
Last Modified:25 Jan 2013 10:04

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