A computationally-efficient hierarchical scaling law to predict damage accumulation in composite fibre-bundles
- Submitting institution
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Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 240
- Type
- D - Journal article
- DOI
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10.1016/j.compscitech.2017.04.018
- Title of journal
- Composites Science and Technology
- Article number
- -
- First page
- 210
- Volume
- 146
- Issue
- 1
- ISSN
- 0266-3538
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
10.1016/j.compscitech.2017.04.018
- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
0
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The model proposed in this paper was selected for the first international benchmark of models for composites under longitudinal tension (https://doi.org/10.1016/j.compositesa.2018.03.016). It showed the best correlation with experiments and the best computational efficiency of all the benchmarked models. This work led to the award of the European Training Network “Fibre Break Models for Designing Novel Composite Microstructures and Applications-FiBreMoD”, involving nine institutions and with a consortium budget of €3.4M. This model has also been extended to consider cyclic (rather than only static) loading cases (https://doi.org/10.1016/j.ijfatigue.2018.05.017), and featured in an invited keynote (https://doi.org/10.1088/1757-899X/388/1/012007) at an International Symposium (Denmark, Sep/2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -