Fundamental Studies on Rock Burst

Forecasting Rock Burst in Coal Mines Based on Neural Network

In view of disasters caused by rock burst becoming more and more serious in coal mine production, three models are established for evaluation and prediction the rock burst risk based on artificial neural network. First, ten indicators are determined which have a larger influence on rock burst. Then two back propagation network models are trained using the original data and the processed data re...

Nanofabrication of two-dimensional arrays of magnetite particles for fundamental rock magnetic studies

[1] Magnetic measurements of samples with precisely controlled magnetic mineralogy, grain size, and interparticle spacing are needed to provide crucial experimental rock magnetic underpinning for paleomagnetic studies. We report a novel nanofabrication method for producing two-dimensional arrays of cylindrical synthetic magnetite particles with well-defined composition, particle size, and inter...

Mafic - Ultramafic Rock Studies

Experimental Studies of Electrical Fields on a Breaking Rock Sample

When a rock sample is pressed by a force, the pressure on the crystal lattice generates an electrical field around the quart grains due to the piezoelectric effect. If a rock is saturated by conductive fluid, the relative motion between the pore fluid and the matrix solid generates an electromagnetic field due to seismoelectric conversion, and the permeating of fluid into new microcracks made b...

Fundamental Physical Parameters of Collimated Gamma-ray Burst Afterglows

We determine the basic physical characteristics of eight Gamma-Ray Bursts (GRB) – 980519, 990123, 990510, 991028, 991216, 000301c, 000926 and 010222 – by modelling the broadband emission of their afterglows. We find that the burst kinetic energies after the GRB phase are well clustered around a mean value of 3 × 10 ergs. In contrast, the energy release in γ-rays, after correcting for collimated...