College of Mining, National University of Science and Technology – MISIS, Moscow, Russia:

V. A. Belin, Professor, Doctor of Engineering Sciences, bvamggu@mail.ru

Saint-Petersburg Mining University, Saint-Petersburg, Russia:
A. N. Kholodilov, Associate Professor, Candidate of Physico-Mathematical Sciences
A. P. Gospodarikov, Professor, Doctor of Engineering Sciences

The seismic vibrations due to blasting in various industries are characterized by a long explosive distance and can pose a threat to surrounding infrastructure. The existing approaches to predicting seismic load on buildings and structures differ by the types of semi-empirical relations for peak particle velocities. Among these approaches, the widest application is found by the method based on Sadovsky’s formula. At the same time, reliable estimation of seismic load requires in this case numerous measurements to be carried out. Actually, this leads to essential divergence between the expected and instrumental results, especially, at early stages of blasting. This article offers new methodological approaches to the assessment of seismic load on buildings and structures due to blasting in open pit mining. The seismic effect of a blast is characterized in terms of relative contribution of longitudinal and ground waves. The off ered approaches are based on modifi ed Sadovsky’s formula expressing the peak particle velocity as function of reduced distance. This formula uses the functional connection between the ground transmission coefficient and PPV attenuation factor. The discussion of this connection and its comparison to the earlier results obtained for widely ranged ground conditions is given. It is substantiated that the ground transmission coefficient should be determined in terms of the seismic wave velocities. The application of the discussed approaches allows reliable estimation of seismic loads with rather small volume of measurement data. The classification of explosive sources of seismic vibrations relative to the intensity of seismic load enables optimizing seismic monitoring of blasting operations.

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