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EN
The surface layers of low-carbon steel metal subjected to shot peening were studied. The velocity of Rayleigh surface waves of various frequencies in the range of 3-9 MHz by the phase-pulse method using contact piezoelectric transducers measured. The study of the distribution of residual mechanical stresses in depth was carried out using the etching of the surface layer of the metal and the use of a strain gauges. The characteristics of the roughness of the surface layer of the metal, which has arisen as a result of shot peening, have been determined. The effect of roughness and plastically deformed layer on the velocity of surface acoustic waves (SAW) is estimated by the method of layer-by-layer grinding of the surface layers of the metal. Based on the determination of the magnitude of the residual mechanical stresses and the known acoustoelastic coefficients, the magnitude of the change in the velocity of SAW under the action of these stresses is estimated.
EN
The main objective of this paper is to present the usefulness of the seismic interferometry method to determine the S-wave velocity model of the rock mass affected by exploitation in the KGHM Rudna copper ore mine. The research aim was achieved on the basis of seismic data, acquired from seismograms, of 10 strong seismic events of magnitude greater than 2.6. They were recorded by a pair of seismometers deployed on mining terrain. In the first stage, the Rayleigh wave between seismometers was estimated. Then, the group velocity dispersion curves of fundamental and first higher modes were identified. Finally, inversion of the dispersion curves to a 1D S-wave velocity model up to 500m in depth was obtained. The velocity model was determined for the part of the rock mass partially affected by mining. The results confirm similar rock mass structure and velocities of the subsurface layers as those obtained by the archival 3D model. In both models, a high degree of correlation in the boundary location between the overburden of the Cenozoic formations and the bedrock of the Triassic formations was observed. The applied methodology can be used to estimate the S-wave velocity model in other mining regions characterized by strong seismicity.
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