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Nat. Hazards Earth Syst. Sci., 4, 563-567, 2004
www.nat-hazards-earth-syst-sci.net/4/563/2004/
doi:10.5194/nhess-4-563-2004
© Author(s) 2004. This work is licensed
under a Creative Commons License.


Pressure stimulated currents in rocks and their correlation with mechanical properties

I. Stavrakas1, D. Triantis1, Z. Agioutantis2, S. Maurigiannakis2, V. Saltas3, F. Vallianatos3, and M. Clarke4
1Department of Electronics, Technological Educational Institution of Athens, Greece
2Department of Mineral Resources Engineering, Technical University of Crete, Greece
3Department of Natural Resources and Environment, Technological Educational Institution of Crete, Greece
4Department of Information Systems and Computing, Brunel University, UK

Abstract. The spontaneous electrification of marble samples was studied while they were subjected to uniaxial stress. The Pressure Stimulated Current (PSC) technique was applied to measure the charge released from compressed Dionysos marble samples, while they were subjected to cyclic loading. The experimental results demonstrate that, in the linear elastic region of the sample, no PSC is recorded, while beyond the stress limit (s>0.60), observable variations appear, which increase considerably in the vicinity of sample failure, reaching a maximum value just before the failure. The emitted current is reduced on each loading cycle and it has a reciprocal dependence to the normalized Young modulus. The MCD model, applied out of the vicinity of sample failure explains successfully the above findings. The existence of a "memory-like" behavior of the sample, could justify the weakness or absence of electrical earthquake precursors, during an aftershock sequence.

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Citation: Stavrakas, I., Triantis, D., Agioutantis, Z., Maurigiannakis, S., Saltas, V., Vallianatos, F., and Clarke, M.: Pressure stimulated currents in rocks and their correlation with mechanical properties, Nat. Hazards Earth Syst. Sci., 4, 563-567, doi:10.5194/nhess-4-563-2004, 2004.   Bibtex   EndNote   Reference Manager    XML
 

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