Details of Grant 

EPSRC Reference:	GR/S42941/01
Title:	Multi-Scale Failure of Materials: Visiting Fellowship, Prof. L.R. Botvina
Principal Investigator:	Korsunsky, Professor AM
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department:	Engineering Science
Organisation:	University of Oxford
Scheme:	Standard Research (Pre-FEC)
Starts:	01 May 2003	Ends:	31 October 2003	Value (£):	30,087
EPSRC Research Topic Classifications:	Materials Characterisation
EPSRC Industrial Sector Classifications:	Aerospace, Defence and Marine Manufacturing Construction
Related Grants:
Panel History:
Summary on Grant Application Form
Improved understanding of materials failure processes has led to the development of damage-tolerant design methods, whereby the presence of certain defects in structural components is accepted, but their interaction, growth and ultimate failure must be reliably predicted to ensure safety. The specific mechanisms of failure are varied and multiple, and depend on the rate of loading, temperature, material type, etc. The processes of damage accumulation and failure may be characterised as being stepwise, discontinuous, fractal and multi-scale. While detailed analysis of these mechanisms is an issue of tremendous practical importance, clear identification of generic relationships in damage mechanics is of no less significance.The proposer will team up with a visiting fellow, Professor L. Botvina, a world-renowned expert in this field, to study the subject of kinetics of failure at multiple length scales. They will undertake an overview of the body of knowledge on failure at the macro, meso, micro and nano scales, followed by the analysis of the generic relationships that can be used to describe all of these cases, and identify fundamental features present in all cases: the stages of initiation, propagation and final failure; the relationship between the defect size and the characteristic process length; etc. A major contribution will be made to the understanding of failure processes and failure prediction methods.
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Organisation Website:	http://www.ox.ac.uk