Xt. Feng et M. Seto, A new method of modelling the rock microfracturing process in double-torsion experiments using neural networks, INT J NUM A, 23(9), 1999, pp. 905-923
Citations number
18
Categorie Soggetti
Geological Petroleum & Minig Engineering
Journal title
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
Microfracturing of rock is a complicated damage evolution process. Inaccura
te prediction of micro-fracturing behaviours suggests a need for the develo
pment of a better modelling method. Analysis of acoustic emission (AE) meas
urements in double-torsion tests indicates that micro-fracturing behaviours
during the loading stage have fractal time structures. This fractal behavi
our can be described by C(t) proportional to t(D), where D is the correlati
on exponent, t is the time and C(t) is the correlation integral. Furthermor
e, by utilizing measured AE data, a new method has been developed to model
the AE behaviours of micro-fracturing in rock, in air, and following soakin
g in water and in a chemical solution of DTAB. The neutral models NN(10,21,
2) and NN(10,20,2) were found to describe reasonably well the AE behaviours
of micro-fracturing in rock under air and DTAB conditions, and water condi
tions, respectively. The cumulative AE events and the cumulative AE counts
predicted by the neural models agreed well with those measured in experimen
ts. Copyright (C) 1999 John Wiley & Sons, Ltd.