Projects per year
Abstract
The influence of impact energy and stacking sequence on the damage resistance and Compression After Impact (CAI) strength of Carbon and Glass Fibre Reinforced Plastic (CFRP and GFRP respectively) hybrid laminates is investigated. CAI tests demonstrate that, in comparison to fully CFRP laminates, hybrid laminates show increases in structural efficiency of up to 51% for laminates subject to a 12J impact and 41% for those subject to an 18J impact. Laminates displaying the highest stresses at failure are those that exploit stacking sequences and GFRP content to prevent delaminations from forming close to the outer surface of the laminate during impact. This favourable damage morphology inhibits both sublaminate-buckling-driven delamination propagation and anti-symmetric laminate buckling failures.
Original language | English |
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Pages (from-to) | 224-232 |
Journal | Composites Part A - Applied Science and Manufacturing |
Volume | 76 |
Early online date | 8 Jun 2015 |
DOIs | |
Publication status | Published - Sept 2015 |
Fingerprint
Dive into the research topics of 'Damage resistance and damage tolerance of hybrid carbon-glass laminates'. Together they form a unique fingerprint.Projects
- 1 Finished
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Aerostructural Efficiency
Butler, R. (PI), Hunt, G. (CoI) & Kim, A. (CoI)
Engineering and Physical Sciences Research Council
1/04/10 → 30/09/14
Project: Research council
Profiles
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Richard Butler
- Department of Mechanical Engineering - Professor of Aerospace Composites
- EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa)
- Centre for Integrated Materials, Processes & Structures (IMPS)
Person: Research & Teaching, Core staff
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Andrew Rhead
- Department of Mechanical Engineering - Senior Lecturer
- Institute for Mathematical Innovation (IMI)
- Centre for Integrated Materials, Processes & Structures (IMPS)
- IAAPS: Propulsion and Mobility
Person: Research & Teaching, Core staff, Affiliate staff
Datasets
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Damage resistance and damage tolerance of hybrid carbon-glass laminates
Rhead, A. (Creator), University of Bath, 2015
DOI: 10.15125/BATH-00103
Dataset