Climate change is increasingly being coupled to extreme weather and climate events, with an observed increase in intensity and occurrence of climate-related events. Norway is no exception. Though generally considered quite resilient to climate risk, with favorable conditions for adapting on a national level, studies point to regional and local differences. Applying a mixed methods approach we ...

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 ...

Denne studien handler om den rutinemessige flymedisinske kontrollundersøkelsen av mental skikkethet hos søkere til legeattest klasse 1. Flyleger har en viktig funksjon ved å være ansvarlig for å vurdere «flygeres flymedisinske skikkethet i lys av fremtidig funksjonssvikt under flygning» (Luftfartstilsynet, 2023c, s. 3). Flylegers funksjon og rammebetingelser for å praktisere flymedisin er definert ...

Autonomous driving has sparked an entire revolution in the vehicle sector, offering to increase the safety for road users, productivity, and convenience. However, using autonomous driving vehicles in hostile environments like the Arctic present’s challenges because of the bad weather, lack of infrastructure, rough terrain, poor vision, icy and unreliable road surfaces, and inaccessible locations. ...

With the progress of innovative technologies, ships in future with different autonomy levels are anticipated to enter the realm of maritime transportation. As a result, the scenarios of multi-ship encounters at sea can become more complex and the risk of potential collisions can be difficult to elevate. To support navigation safety and guarantee the required situation awareness level, it is ...

To navigate, Maritime Autonomous Surface Ships (MASSs) must be able to determine their states. i.e., the positions and velocities, etc., by utilizing onboard IoT, and ship intelligence systems. Autonomous ship navigation can heavily rely on machine learning algorithms that can predict how vessels will maneuver in the future, based on past behavior, where vessel state estimation can play a main role. ...

Nowadays, the maritime industry, like other industries, is incorporating Machine Learning (ML) and Artificial Intelligence (AI) approaches in their applications. Since the rise of Maritime Autonomous Surface Ships (MASS) is on the horizon, such intelligent algorithms would replace conventional ship navigation with a higher level of autonomy. In other words, a digital navigator can be developed based ...

Sea ice exhibits time-dependent non-linear behaviour. This is evidenced by both lab and field experiments with known phenomena such as creep and stress relaxation. This time-dependent material behaviour becomes particularly pronounced at larger temporal scales. In this study, we present a novel approach to simulate time-dependent fractures in sea ice using peridynamics (PD), a particle integral ...

Terrorism is typically included among the grave societal challenges resulting from radicalisation of certain groups. The phrase ‘radical converts’ typically evokes an image of a convert to Islam, whereas an individual converting from Islam to other religions is not associated with a terrorist threat. When it comes to threat assessment, the conversion of Christianity to Islam is typically deemed a ...

Liquid injection optimization is key to enhance the efficiency of many processes in a wide variety of fields. Combustion processes are one of the most challenging ones, due to the direct emissions and greenhouse gases implications. This work aims at studying the external two-phase flow produced when injecting fuel with a pressure-swirl atomizer in an operating condition typical of an academic ...