Abstract
Bayesian calibration is a statistical framework for combining experimental and numerical data to make predictions using computer models, while formally accounting for uncertainty associated with: i) experimental observation error, ii) inaccuracies in the model and assumed physics, and iii) variability in the physical parameters of the test specimen. The ability to accurately quantify such uncertainty will enable certification processes to be better informed by mathematical models and component-level structural tests. In this paper, Bayesian calibration is applied to a finite element stiffened panel model implemented in Abaqus, using strain gauge data from experimental compression tests. In this preliminary investigation, the elastic properties of the AS4/8552 prepreg lamina from which the panel was manufactured are inferred. Such parameters cannot be precisely controlled in the experiment during to inherent variability in manufacturing processes. A Gaussian Process Emulator is used in the calibration for the sake of computational efficiency.
Original language | English |
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Title of host publication | Composites Meet Sustainability – Proceedings of the 20 th European Conference on Composite Materials, ECCM20. 26-30 June, 2022, Lausanne, Switzerland |
Editors | Anastasios P. Vassilopoulos, Veronique Michaud |
Publisher | Composite Construction Laboratory (CCLab), Ecole Polytechnique Federale de Lausanne (EPFL) |
Pages | 875-882 |
Number of pages | 8 |
Volume | 4 |
ISBN (Electronic) | 9782970161400 |
DOIs | |
Publication status | Published - 30 Jun 2022 |
Event | 20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022 - Lausanne, Switzerland Duration: 26 Jun 2022 → 30 Jun 2022 |
Publication series
Name | Proceedings of the 20th European Conference on Composite Materials: Composites Meet Sustainability |
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Volume | 1-6 |
Conference
Conference | 20th European Conference on Composite Materials: Composites Meet Sustainability, ECCM 2022 |
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Country/Territory | Switzerland |
City | Lausanne |
Period | 26/06/22 → 30/06/22 |
Bibliographical note
Funding Information:The presented research was supported by?the? EPSRC? Programme?Grant?‘Certification?for? Design? – Reshaping?the?Testing?Pyramid’?(CerTest,?EP/S017038/1).
Funding
The presented research was supported by?the? EPSRC? Programme?Grant?‘Certification?for? Design? – Reshaping?the?Testing?Pyramid’?(CerTest,?EP/S017038/1).
Keywords
- Bayesian inference
- Finite Element Analysis
- Gaussian Process Emulators
- Model calibration
- Uncertainty Quantification
ASJC Scopus subject areas
- Ceramics and Composites