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

Patelli, E. and Govers, Yves and Broggi, Mateo and Gomes, Herbert Martins and Link, Michael and Mottershead, J.E. (2017) Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data. Archive of Applied Mechanics, 87 (5), pp. 905-925. Springer. ISSN 0939-1533

Full text not available from this repository.

Official URL: https://doi.org/10.1007/s00419-017-1233-1

Abstract

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 physics-based 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.

Item URL in elib:https://elib.dlr.de/115965/
Document Type:Article
Title:Sensitivity or Bayesian model updating: a comparison of techniques using the DLR AIRMOD test data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Patelli, E.UNSPECIFIEDUNSPECIFIED
Govers, Yvesyves.govers (at) dlr.dehttps://orcid.org/0000-0003-2236-596X
Broggi, MateoUNSPECIFIEDUNSPECIFIED
Gomes, Herbert MartinsUNSPECIFIEDUNSPECIFIED
Link, MichaelUNSPECIFIEDUNSPECIFIED
Mottershead, J.E.liverpool university, liverpool, ukUNSPECIFIED
Date:May 2017
Journal or Publication Title:Archive of Applied Mechanics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:87
Page Range:pp. 905-925
Publisher:Springer
ISSN:0939-1533
Status:Published
Keywords:model updating, deterministic, stochastic, covariance, Bayesian
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 11:57
Last Modified:08 Mar 2018 18:40

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