Arctic: ecology and economy
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Home Archive of journals Volume 13, No. 1, 2023 Ice impact on the rockfill of port facilities


JOURNAL: Volume 13, No. 1, 2023, p. 97-105

HEADING: Shipbuilding for the Arctic

AUTHORS: Dobrodeev, A.A., Sazonov, K.E.

ORGANIZATIONS: Krylov State Research Centre

DOI: 10.25283/2223-4594-2023-1-97-105

UDC: 629.561.5; 629.54; 656.61

The article was received on: 19.09.2022

Keywords: ice loads, destruction, ice model tank, ice heap, friction

Bibliographic description: Dobrodeev, A.A., Sazonov, K.E. Ice impact on the rockfill of port facilities. Arktika: ekologiya i ekonomika. [Arctic: Ecology and Economy], 2023, vol. 13, no. 1, pp. 97-105. DOI: 10.25283/2223-4594-2023-1-97-105. (In Russian).


The paper presents the experimental results of model tests in the ice tank of the Krylov State Research Center aimed at study the features of ice interaction with rockfill of hydraulic engineering structures. These rockfills are often used in port protective structures (dams, breakwaters, etc.). The main attention during the model tests was paid to the study of the rockfill influence on the total ice load, the process of ice heap formation in front of the structure, as well as the rockfill destruction under the ice impact. The experiments have shown that the horizontal component of the total ice load changes a little, while the vertical component noticeably decreases. It has been found that the rockfill displaces the ice formation towards the sea thus helps to protect the working surfaces of the hydraulic structure from ice impact. The tests have revealed that the rockfill of hydraulic structure can be destroyed by the drifting ice and identified two possible scenarios for this destruction. The results allow the authors to conclude about the rockfill for hydraulic structure designed for the Arctic.

Finance info: This work was carried out as a part of project 0784-2020-0021 Investigation of the statistical regularities of ice loads on engineering structures and the development of a new method for their probabilistic modeling with the support of the Ministry of Science and Higher Education of the Russian Federation.

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DOI 10.25283/2223-4594