Computationally efficient method of tracking fibres in composite materials using digital image correlation
- Submitting institution
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The University of Liverpool
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12707
- Type
- D - Journal article
- DOI
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10.1016/j.compositesa.2019.105683
- Title of journal
- Composites Part A: Applied Science and Manufacturing
- Article number
- 105683
- First page
- -
- Volume
- 129
- Issue
- -
- ISSN
- 1359-835X
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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6
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work has led to new research with the US Air Force [grant #FA8655-20-1-7034]. The method has been taken up by researchers at Advanced Composite Materials and Textile Research Laboratory in University of Massachusetts in Lowell, USA [scott_stapleton@uml.edu].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -