Validation of an energy-based fatigue life model for fibre reinforced plastics under different stress ratios
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
The energy-based fatigue model presented in this work overcomes different shortcomings of existing model approaches, such as the need of separated assumptions for constant life diagrams. By using the range of the normalised strain energy density and a probabilistic based mode interaction approach, a failure mode dependent fatigue model for CFRP is established for directly predicting constant life diagrams and calculating the fatigue life for multiaxial loads with constant amplitude. In this contribution, the ply-based model and some of its main features, such as the consideration of residual stresses or of mode interactions at general threedimensional stress states, are shortly summarised. The stepwise model validation on different literature datasets is considered in more detail, including prediction of SN-curves with scatter band and constant life diagrams.
Details
Original language | English |
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Title of host publication | 14th WCCM-ECCOMAS Congress 2020 |
Editors | F. Chinesta, R. Abgrall, O. Allix, M. Kaliske |
Pages | 1-10 |
Number of pages | 10 |
Volume | 100 |
Publication status | Published - 11 Mar 2021 |
Peer-reviewed | Yes |
Conference
Title | 14th World Congress in Computational Mechanics (WCCM) ECCOMAS Congress 2020 |
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Subtitle | ECCOMAS Congress 2020 |
Abbreviated title | WCCM-ECCOMAS |
Conference number | |
Duration | 11 - 15 January 2021 |
Website | |
Location | Online |
City |
External IDs
Scopus | 85122025083 |
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ORCID | /0000-0003-1370-064X/work/142243436 |
ORCID | /0000-0002-2280-7580/work/142252478 |
ORCID | /0000-0002-8122-4158/work/176342093 |
Keywords
ASJC Scopus subject areas
Keywords
- Computing Methods, FibreReinforced Plastics, Mean Stress Influence, Service Strength Analysis, Fibre Reinforced Plastics, Model Validation, Fatigue, Fatigue, Model Validation