Projects per year
Abstract
Shell buckling is known for its extreme sensitivity to initial imperfections. It is generally understood that this sensitivity is caused by subcritical (unstable) buckling, whereby initial geometric imperfections rapidly erode the idealised buckling load of the perfect shell. However, it is less appreciated that subcriticality also creates a strong proclivity for spatially localised buckling modes. The spatial multiplicity of localisations implies a large set of possible trajectories to instability—also known as spatial chaos—with each trajectory affine to a particular imperfection. Using a toy model, namely a link system on a softening elastic foundation, we show that spatial chaos leads to a large spread in buckling loads even for seemingly indistinguishable random imperfections of equal amplitude. By imposing a dominant imperfection, the strong sensitivity to random imperfections is ameliorated. The ability to control the equilibrium trajectory to buckling via dominant imperfections or elastic tailoring creates interesting possibilities for designing imperfection-insensitive shells
Original language | English |
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Article number | 032205 |
Number of pages | 6 |
Journal | Physical Review E |
Volume | 100 |
Issue number | 3 |
DOIs | |
Publication status | Published - 6 Sep 2019 |
Structured keywords
- Bristol Composites Institute ACCIS
Keywords
- localisation
- buckling
- instability
- nonlinearity
- shells
Fingerprint
Dive into the research topics of 'Spatial chaos as a governing factor for imperfection sensitivity in shell buckling'. Together they form a unique fingerprint.Projects
- 1 Finished
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Structural Efficiency and Multi-functionality of Well-Behaved Nonlinear Composite Structures
1/04/15 → 31/08/20
Project: Research
Prizes
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Royal Academy of Engineering Research Fellow
Groh, Rainer (Recipient), 2018
Prize: Prizes, Medals, Awards and Grants
Datasets
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Data for "Spatial chaos as a governing factor for imperfection sensitivity in shell buckling"
Groh, R. (Creator) & Pirrera, A. (Data Manager), University of Bristol, 9 May 2019
DOI: 10.5523/bris.33taupdkustnj2clj1di8flgos, http://data.bris.ac.uk/data/dataset/33taupdkustnj2clj1di8flgos
Dataset