Project Details
Description
Advanced composites have potentially transformative properties compared to other construction materials that offer unparalleled structural solutions. Composites have impacted the aerospace and automotive industries, resulting in lighter, energy efficient solutions. We aim to translate this paradigm to the construction industry by tackling the single largest factor limiting their uptake - durability. This will be achieved through the development of methodology/tools for durability assessment/design. In the DURACOMP project the consortium team shall investigate the long-term degradation processes of construction composites in order to enhance confidence in their durability. We will achieve this through an ambitious, integrated programme of physical testing and computational modelling that will bring new insights into the behaviour of composites. A structural-level testing programme, augmented by selected material-scale tests, coupled with uncertainty qualification and quantification, will be undertaken. The consortium team will utilise advances in multi-scale analysis to develop a computational, predictive modelling capability for the response of degrading of composites. This will enable us to investigate and design the reliability of service lives of safety critical structures.
| Status | Finished |
|---|---|
| Effective start/end date | 1/06/13 → 4/08/16 |
Collaborative partners
- University of Bath (lead)
- University of Warwick
- University of Bristol
- University of Leeds
- University of Glasgow
- WSP
- Newcastle University
- Aquamarine Power Ltd
- Hexel Reinforcements UK Ltd
- Highways England
Funding
- Engineering and Physical Sciences Research Council

Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 2 Article
-
Impedance spectroscopy as a tool for moisture uptake monitoring in construction composites during service
Grammatikos, S., Ball, R. J., Evernden, M. & Jones, R., 28 Feb 2018, In: Composites Part A - Applied Science and Manufacturing. 105, p. 108-117 10 p.Research output: Contribution to journal › Article › peer-review
Open Access32 Link opens in a new tab Citations (SciVal) -
Multi-scale computational homogenisation to predict the long-term durability of composite structures
Ullah, Z., Kaczmarczyk, L., Grammatikos, S. A., Evernden, M. C. & Pearce, C. J., Mar 2017, In: Computers and Structures. 181, p. 21-31Research output: Contribution to journal › Article › peer-review
Open Access32 Link opens in a new tab Citations (SciVal)