journal article·2024-08-16Open access

Motion of Submerged Body in a Frozen Channel with Compressed Porous Ice

Tatyana Sibiryakova, Kristina Naydenova, Kirill Serykh, Tatyana Khabakhpasheva

Applied Sciences· Volume 14· Issue 16

Abstract

The problem of submerged body motion in a frozen channel is considered. The fluid in the channel is assumed to be inviscid and incompressible. Fluid flow is the potential. The ice cover has non-uniform compression along the principal coordinates. The damping of hydroelastic waves generated by the motion of submerged body is modeled by taking into account porosity of ice. The submerged body is modeled as a dipole, the potential of which is determined using mirror images from the channel walls. The main problem of the submerged body motion at constant speed along the central line of the channel is considered. Two subproblems are addressed: comparison of damping effects of the porosity and viscosity of ice and investigation of effects of symmetrically variable ice thickness relative to the central line of the channel. It was found that the most important compressive stress is the stress in the direction of the motion of the submerged body. The speed of the body, which was subcritical for uncompressed ice, may become critical or supercritical. Compressive stresses perpendicular to the direction of motion do not qualitatively change the character of the ice response. These stresses, in combination with compressive stresses along the direction of motion, strengthen the effect of the latter, making the transition from subcritical to supercritical regime faster.
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Research context

OpenAlex topics: Arctic and Antarctic ice dynamics · Methane Hydrates and Related Phenomena · Climate change and permafrost

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Differential Equations, Altai State University, 656049 Barnaul, Russia

Lavrentyev Institute of Hydrodynamics SB RAS, 630090 Novosibirsk, Russia

School of Mathematics, University of East Anglia, Norwich NR4 7TJ, UK

Funding

Russian Science Foundation

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