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Fuzzy finite element model updating of the DLR AIRMOD test structure

Khodaparast, H.H. and Govers, Yves and Dayyani, I. and Adhikari, S. and Link, M. and Friswell, M.I. and Mottershead, J.E. and Sienz, J. (2017) Fuzzy finite element model updating of the DLR AIRMOD test structure. Applied Mathematical Modelling, 52, pp. 512-526. Elsevier. ISSN 0307-904X

Full text not available from this repository.

Official URL: https://doi.org/10.1016/j.apm.2017.08.001

Abstract

This article presents the application of finite-element fuzzy model updating to the DLR AIRMOD structure. The proposed approach is initially demonstrated on a simulated mass-spring system with three degrees of freedom. Considering the effect of the assembly process on variability measurements, modal tests were carried out for the repeatedly disassembled and reassembled DLR AIRMOD structure. The histograms of the measured data attributed to the uncertainty of the structural components in terms of mass and stiffness are utilised to obtain the membership functions of the chosen fuzzy outputs and to determine the updated membership functions of the uncertain input parameters represented by fuzzy variables. In this regard, a fuzzy parameter is introduced to represent a set of interval parameters through the membership function, and a meta model (kriging, in this work) is used to speed up the updating. The use of non-probabilistic models, i.e. interval and fuzzy models, for updating models with uncertainties is often more practical when the large quantities of test data that are necessary for probabilistic model updating are unavailable.

Item URL in elib:https://elib.dlr.de/115928/
Document Type:Article
Title:Fuzzy finite element model updating of the DLR AIRMOD test structure
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Khodaparast, H.H.centre for engineering dynamics, university of liverpoolUNSPECIFIED
Govers, Yvesyves.govers (at) dlr.dehttps://orcid.org/0000-0003-2236-596X
Dayyani, I.UNSPECIFIEDUNSPECIFIED
Adhikari, S.UNSPECIFIEDUNSPECIFIED
Link, M.UNSPECIFIEDUNSPECIFIED
Friswell, M.I.bristol university, bristol, ukUNSPECIFIED
Mottershead, J.E.liverpool university, liverpool, ukUNSPECIFIED
Sienz, J.UNSPECIFIEDUNSPECIFIED
Date:2017
Journal or Publication Title:Applied Mathematical Modelling
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:52
Page Range:pp. 512-526
Editors:
EditorsEmail
Sienz, JohannElsevier
Publisher:Elsevier
ISSN:0307-904X
Status:Published
Keywords:fuzzy variable, model updating, AIRMOD structure
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Flight Physics
Location: Göttingen
Institutes and Institutions:Institute of Aeroelasticity > Structural Dynamics and System Identification
Deposited By: Grischke, Birgid
Deposited On:14 Dec 2017 11:27
Last Modified:14 Dec 2017 11:27

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