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

Govers, Yves und 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.

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Kurzfassung

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.

elib-URL des Eintrags:https://elib.dlr.de/79056/
Dokumentart:Konferenzbeitrag (Vortrag, Paper)
Titel:Using stochastic experimental modal data for identifying stochastic finite element parameters of the AIRMOD benchmark structure
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Govers, Yvesyves.govers (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Link, MichaelUniversity of Kassel, Institute of Statistics and DynamicsNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:2012
Erschienen in:Proceedings of ISMA 2012
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:AIRMOD, structural dynamics, stochastic model updating, uncertainty
Veranstaltungstitel:ISMA 2012 - International Conference on Noise and Vibration Engineering
Veranstaltungsort:Leuven, Belgien
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:17.-19. Sept. 2012
Veranstalter :Katholieke Universiteit Leuven
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Luftfahrt
HGF - Programmthema:Starrflügler (alt)
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L AR - Starrflüglerforschung
DLR - Teilgebiet (Projekt, Vorhaben):L - Simulation & Validierung (alt)
Standort: Göttingen
Institute & Einrichtungen:Institut für Aeroelastik
Hinterlegt von: Erdmann, Daniela
Hinterlegt am:19 Dez 2012 16:59
Letzte Änderung:25 Jan 2013 10:04

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