Limesnet Duracomp

Project: Research council

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.
StatusFinished
Effective start/end date1/06/134/08/16

Funding

  • Engineering and Physical Sciences Research Council

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  • Research Output

    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 journalArticle

    Open Access
  • 9 Citations (Scopus)

    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. 21-31

    Research output: Contribution to journalArticle

    Open Access
  • 12 Citations (Scopus)