Validation of a structural model of an aircraft cockpit panel: An industrial case study



Patterson, Eann A ORCID: 0000-0003-4397-2160, Diamantakos, Ioannis, Dvurecenska, Ksenija ORCID: 0000-0003-0642-1095, Greene, Richard J ORCID: 0000-0002-5373-0598, Hack, Erwin, Lampeas, George, Lomnitz, Marek and Siebert, Thorsten
(2022) Validation of a structural model of an aircraft cockpit panel: An industrial case study. JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, 57 (8). pp. 714-723.

Access the full-text of this item by clicking on the Open Access link.

Abstract

<jats:p> Computational models of structures are widely used to inform decisions about design, maintenance and operational life of engineering infrastructure, including airplanes. Confidence in the predictions from models is provided via validation processes that assess the extent to which predictions represent the real world, where the real world is often characterised by measurements made in experiments of varying sophistication dependent on the importance of the decision that the predictions will inform. There has been steady progress in developing validation processes that compare fields of predictions and measurements in a quantitative manner using the uncertainty in measurements as a basis for assessing the importance of differences between the fields of data. In this case study, three recent advances in a validation process, which was evaluated in an inter-laboratory study 5 years ago, are implemented using a ground-test on a fuselage at the aircraft manufacturer’s site for the first time. The results show that the advances successfully address the issues raised by the inter-laboratory study, that the enhanced validation process can be implemented in an industrial environment on a complex structure, and that the model was an excellent representation of the measurements made using digital image correlation. </jats:p>

Item Type: Article
Uncontrolled Keywords: Validation, computational models, solid mechanics, aircraft, fuselage, digital image correlation, finite element analysis, displacement fields, measurement uncertainty
Divisions: Faculty of Science and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 30 Nov 2021 08:54
Last Modified: 18 Jan 2023 21:23
DOI: 10.1177/03093247211059084
Open Access URL: https://journals.sagepub.com/doi/full/10.1177/0309...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3144177