Starts: Jun 18, 2014 9:00:00 AM
Starts: Jun 19, 2014 9:00:00 AM
Published: Feb 24, 2014 3:30:38 PM
Published: Jan 8, 2014 2:45:50 PM
Published: Dec 16, 2013 11:07:36 AM
Office location: Rm 38, 2nd floor, South Wing, UCL Main Quadrangle
Title: A non-extensive statistical physics approach in earthquake geophysics
Supervisors: Filippos Vallianatos, Earth Sciences
Source(s) of funding: UCL Impact, IRDR, Technological Institute of Crete
Address: UCL Institute for Risk and Disaster Reduction, University College London, Gower Street, London, WC1E 6BT
Phone No: 0207 679 2004
By approaching fundamental questions of earthquake geophysics and integrating ideas from seismology, rock physics and statistical mechanics, my aim is to shed new light on the relationship between earthquakes and rock fracture mechanisms. Long-term, I hope my study will help improve the understanding of earthquakes and contribute to improved methods for assessing seismic risk.
In addition, by investigating potential mechanisms for earthquake precursors, I hope to progress the field of earthquake geophysics towards an earthquake warning methodology. My project is to investigate the relationships between microscopic fracture behaviour in the laboratory and macroscopic seismicity patterns from a variety of tectonic and volcano-tectonic environments. Rock fracture systems involve phenomena such as fractality (scale-invariance), self-organised criticality and long-range interaction. Non-extensive statistical physics (NESP), based on the thermodynamic concept of entropy, provides a consistent theoretical framework to analyse the behaviour of such systems.
I am conducting rock physics experiments under crustal conditions to measure electrical and acoustic signals emitted prior to and during rock fracture and using NESP methods to analyse the experimental results in conjunction with seismicity catalogues. The resulting analysis of the spatio-temporal and magnitude distributions should help to elucidate further the connections between microscale fracture and macroscale seismicity and identify potential mechanisms for earthquake precursors.