A study on the vibration-based self-monitoring capabilities of nano-enriched composite laminated beams
- Submitting institution
-
University of Edinburgh
(joint submission with Heriot-Watt University)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 107398908
- Type
- D - Journal article
- DOI
-
10.1088/0964-1726/25/4/045011
- Title of journal
- Smart Materials and Structures
- Article number
- 045011
- First page
- -
- Volume
- 25
- Issue
- 4
- ISSN
- 0964-1726
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2016
- 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
- Yes
- Number of additional authors
-
2
- Research group(s)
-
D - IE
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This publication presented an investigation of combining multifunctional materials with data-driven techniques for enhancing intelligent materials by minimising human interaction towards self-damage diagnosis. This work led to support for a PhD from Brüel & Kjær [Brüel & Kjær contact available] in the form of equipment and data. The strong nature of the collaboration and project has received a £65k PhD Scholarship from The Carnegie Trust [contact available] for mitigating environmental and operational variations in damage diagnosis methodologies.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
