Abstract
In this paper, the first large-scale application of multiscale-spectral generalized finite element methods (MS-GFEM) to composite aero-structures is presented. The crucial novelty lies in the introduction of A-harmonicity in the local approximation spaces, which in contrast to Babuška and Lipton (2011) [30] is enforced more efficiently via a constraint in the local eigenproblems. This significant modification leads to excellent approximation properties, which turn out to be essential to capture accurately material strains and stresses with a low dimensional approximation space, hence maximizing model order reduction. The implementation of the framework in the Distributed and Unified Numerics Environment (DUNE) software package, as well as a detailed description of all components of the method are presented and exemplified on a composite laminated beam under compressive loading. The excellent parallel scalability of the method, as well as its superior performance compared to the related, previously introduced GenEO method are demonstrated on two realistic application cases, including a C-shaped wing spar with complex geometry. Further, by allowing low-cost approximate solves for closely related models or geometries this efficient, novel technology provides the basis for future applications in optimization or uncertainty quantification on challenging problems in composite aero-structures.
Original language | English |
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Article number | 113013 |
Journal | Journal of Computational Physics |
Volume | 508 |
Early online date | 16 Apr 2024 |
DOIs | |
Publication status | Published - 1 Jul 2024 |
Data Availability Statement
The main source code is available at ‘https://gitlab.dune-project.org/anne.reinarz/dune-composites/’. FE grids generation code is available at ‘https://github.com/jeanbenezech/CompositesFEMesh’.Funding
The research was supported by the UK Engineering and Physical Sciences Research Council (EPSRC) through the Programme Grant: \u2018Certification of Design: Reshaping the Testing Pyramid\u2019 EP/S017038/1 (https://www.composites-certest.com/). This multidisciplinary project aims at developing new approaches to enable the design and certification of lighter, more cost and fuel efficient composite aero-structures. The funding received is gratefully acknowledged. This work made use of the facilities of the Hamilton HPC Service of Durham University. We thank Anne Reinarz (Durham University) for her support in the HPC experiments. Butler holds a Royal Academy of Engineering-GKN Aerospace Research Chair in Composites. Seelinger, Bastian and Scheichl acknowledge support of the Deutsche Forschungsgemeinschaft (German Research Foundation) under Germany's Excellence Strategy EXC 2181/1 \u2013 390900948 (the Heidelberg STRUCTURES Excellence Cluster).
Funders | Funder number |
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Royal Academy Of Engineering | |
Engineering and Physical Sciences Research Council | EP/S017038/1 |
Engineering and Physical Sciences Research Council | |
Deutsche Forschungsgemeinschaft | EXC 2181/1 – 390900948 |
Deutsche Forschungsgemeinschaft |
Keywords
- A-harmonic subspace
- GenEO coarse space
- Large-scale composite structure
- Multiscale-spectral generalized FE methods
- Parallel scalability
ASJC Scopus subject areas
- Numerical Analysis
- Modelling and Simulation
- Physics and Astronomy (miscellaneous)
- General Physics and Astronomy
- Computer Science Applications
- Computational Mathematics
- Applied Mathematics