Passive seismic control of landscape displacements of Vorkuta city
Автор: Lutoev V.A.
Журнал: Вестник геонаук @vestnik-geo
Рубрика: Научные статьи
Статья в выпуске: 1 (301), 2020 года.
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This article is devoted to determining the mechanisms of development of landslides on the coastal slope of the Vorkuta river. The studied territory with a length of 400 meters is adjacent to the roadway of Shakhterskaya St. embankment in Vorkuta. The engineering-geological section of the slope is represented by loose, semi-rocky and rocky soils, therefore, simple and complex types of landslides are possible here. We used a three-axis accelerometer, which allowed registering an accelerogram with the possibility of further conversion into a cycle diagram and a seismogram of a microseismic event. In winter, freezing water, located in rock cracks, expands, as a result of which chips and microcracks appear, and the cyclic weathering process is accelerated. In loose rocks, an ambiguous sequence is observed: when water freezes in the sands, they are hardened, and in loams, clays and thin sands, due to the properties of high heaving, extrusion of the surrounding soil occurs simultaneously with hardening. In the layered section of the slope, a gradual redistribution of the stress forces occurs, where the total impact also helps to reduce the initial stability of the soil caused by the of creep of clays after thawing. These continuous changes are well recorded on accelerograms of seismic records displaying elastic (no transfer of matter) and inelastic processes (transfer of matter is carried out). In total, four types of phenomena were revealed on the slope: block, shear-slip, liquefaction-current, and the development of microcracks in rocky soil. In addition, we simulated experimental accelerograms and spectrograms, which are identical in shape to the accelerograms and spectrograms recorded on the real site of landslide movement.
Slope, landslides, loose and rocky soils, frozen soils, phase transition, melt soils, cyclic process, accelerograms and spectrograms, modeling
Короткий адрес: https://sciup.org/149128744
IDR: 149128744 | DOI: 10.19110/geov.2020.1.4