This paper presents a framework for structural analysis of icebreakers during ramming of first-year ice ridges. The framework links the ice-ridge load and the structural analysis based on the physical characteristics of ship–ice-ridge interactions. A ship–ice-ridge interaction study was conducted to demonstrate the feasibility of the proposed framework. A PC-2 icebreaker was chosen for the ship–ice interaction study, and the geometrical and physical properties of the ice ridge were determined based on empirical data. The ice ridge was modeled by solid elements equipped with the continuous surface cap model (CSCM). To validate the approach, the simulated ice resistance was computed using the Lindqvist solution and in situ tests of R/V Xuelong 2. First, the local ice-induced pressure on the hull shell was determined based on numerical simulations. Subsequently, the local ice pressure was applied to local deformable sub-structural models of the PC-2 icebreaker hull by means of triangular impulse loads. Finally, the structural response of sub-structural models with refined meshes was computed. This case study demonstrates that the proposed framework is suitable for structural analysis of ice-induced stresses in local hull components. The results show that the ice load and the structural response obtained based on the four first-year ice-ridge models show obvious differences. Furthermore, the ice load and corresponding structural response increases with the width of the ridge and with increasing ship speed.

Fixed offshore wind turbines continue to be developed for high latitude areas where not only wind and wave loads need to be considered but also moving sea ice. Current rules and regulations for the design of fixed offshore structures in ice-covered waters do not adequately consider the effects of ice loading and its stochastic nature on the fatigue life of the structure. Ice crushing on such structures results in ice-induced vibrations, which can be represented by loading the structure using a variable-amplitude loading (VAL) sequence. Typical offshore load spectra are developed for wave and wind loading. Thus, a combined VAL spectrum is developed for wind, wave, and ice action. To this goal, numerical models are used to simulate the dynamic ice-, wind-, and wave-structure interaction. The stress time-history at an exemplarily selected critical point in an offshore wind energy monopile support structure is extracted from the model and translated into a VAL sequence, which can then be used as a loading sequence for the fatigue assessment or fatigue testing of welded joints of offshore wind turbine support structures. This study presents the approach to determine combined load spectra and standardized time series for wind, wave, and ice action.

Thermally-driven circulations are a frequent meteorological phenomenon in complex Arctic terrain, but the Arctic fjord breeze, a combined sea-breeze and up-valley wind, has received little attention. A field campaign was conducted in the valley Adventdalen in Svalbard in summer 2022 using a Scanning Doppler Lidar and automatic weather stations. It is shown that a local up-valley circulation occurred frequently in this valley, and that it was driven by the temperature and pressure gradient between valley and fjord, i.e., a fjord breeze. The fjord breeze existed in both large-scale up-valley and down-valley winds. Its strength, extent and depth varied due to the diurnal cycle of solar irradiation as well as the interaction with large-scale winds. In contrast to typical lower-latitude breezes, the Arctic fjord breeze could persist over several days. The breeze was found to be relatively strong even under small horizontal temperature contrasts and opposing large-scale winds, possibly due to an increase in the thermal pressure gradient by the surrounding topography.

Apart from the mechanisms of ice structure interactions under various scenarios of sea ice conditions and structural configurations, the selection of probabilistic models is crucial in order to cope with the loading uncertainty. Sea ice is the primary contributor to design loads in cold regions. In many cases, ice loads present the highest magnitude. In recent years, the probabilistic study of ice thickness, ice strength coefficient, flexural strength, ice drift speed, etc., has significantly increased, corresponding to the increasing activity of offshore operations in cold regions as well as the development of instrument technology for sea ice observation. This paper reviews existing probabilistic modes of sea ice, which are used to estimate the uncertainty of ice loading with various types of offshore structures, including vertical structures, sloping structures, and stations with floating vessels. The ISO 19906 standard is employed for the probabilistic assessment of vertical and sloping structures. The interactions between ice and structures on sloping structures are considered in both the upward and downward directions. The ice resistance method is applied for station-keeping floating vessels in ice. The key parameters of sea ice properties to estimate the design loads are studied. The effect of correlation between the key parameters of ice loads is investigated. This review shows that most existing probabilistic models are proposed for the estimation of ice loading on the various types of offshore structures.

Ice runs and ice jams can cause significant damage to infrastructure and other human interests. Accurate modelling and prediction of these events rely on data and assumptions about river ice properties. This paper seeks to address the lack of data on ice strength distributions and associated properties in small, steep rivers and to obtain a better understanding of those. To this end, an ice data collection campaign was carried out in the Sokna river in central Norway during the 2020–2021 winter field season. The following types of data were collected for anchor ice dams and level ice sections: Borehole Jack (BHJ) in-situ ice strength, ice thickness, ice density, thin section imagery and associated depth measurements. A total of 27 ice cores and 68 thin sections were successfully collected and processed. Furthermore, a survey was carried out recording GPS coordinates of anchor ice dams in the river. Meteorological and hydrological data was also collated, and large boulder location data was obtained through the analysis of aerial photography. Ice strength distributions and trends on how ice strength varies in small, steep rivers were obtained from these data. A binomial generalized linear model for predicting ice dam locations was developed using field measurements and aerial photography data. This model describes how river width, slope and to a lesser degree large boulder density affect ice dam location. Sinuosity was shown to have no effect on ice dam location. This work highlights the significant variation in microstructure and large-scale structure of ice in small, steep rivers.