EPSRC logo

Details of Grant 

EPSRC Reference: GR/J72721/01
Title: NEURAL NETWORK ANALYSIS FOR PREDICTION OF THE FATIGUE LIVES OF FIBRE- COMPOSITE MATERIALS
Principal Investigator: Harris, Professor B
Other Investigators:
Almond, Professor D
Researcher Co-Investigators:
Project Partners:
Department: Engineering & Applied Science
Organisation: University of Bath
Scheme: Standard Research (Pre-FEC)
Starts: 01 April 1994 Ends: 31 March 1997 Value (£): 137,476
EPSRC Research Topic Classifications:
Eng. Dynamics & Tribology
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:  
Summary on Grant Application Form
The problem of life-prediction for composite materials has usually been tackled by the derivation of conventional S/N curves for constant-stress cycling, followed by variable stress or block testing. Analysis is relatively crude and depends on the identification of some physical model the predictions of which must then be compared with the actual results. The problem is that this approach requires extensive data gathering and likely physical models differ for different composites. The application of neural network methods offers the engineer a completely different approach which eliminates the need for physical models and which provides reasonable predictions after only limited testing which are then gradually refined as the neural model is increasingly educated by the incorporation of new test results.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Summary
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: http://www.bath.ac.uk