An autonomous surface discontinuity detection and quantification method by digital image correlation and phase congruency
- Submitting institution
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University of Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 147094518
- Type
- D - Journal article
- DOI
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10.1016/j.optlaseng.2017.04.010
- Title of journal
- Optics and Lasers in Engineering
- Article number
- -
- First page
- 94
- Volume
- 96
- Issue
- -
- ISSN
- 0143-8166
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- 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)
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G - Solid Mechanics
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel algorithm to identify discontinuities within displacement measurements was developed. The method accelerates analysis of X-ray tomography of cracks significantly by removing constant human interactions. The orders of magnitude faster analysis was adopted by the industrial partner. Through an Impact Acceleration Fund, Frazer Nash Consultancy proposed the method as part of their application for SBRI advanced manufacturing for nuclear. The £1.3M bid would not have been possible if large datasets were to be analysed by hand. The results of the method were compared with datasets analysed by humans which showed great agreement thus validating the rigour of the method.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -