Recent additions

  • International collaboration for meeting the challenges of huge and cascading disasters 

    Nilsen, Aud Solveig; Stakkeland, Linda Marie (Conference object; Konferansebidrag, 2021-09)
    Some crisis have an international impact. How is it possible to enhance collaboration between nations in huge and cascading disasters? We will present Barents Rescue (BR) as an inspiration for our Student Barents Rescue (SBR) and thereafter show examples from a student pilot with an international scenario.
  • How and why develop scenarios for training students to use their knowledge in practice? 

    Nilsen, Aud Solveig (Conference object; Konferansebidrag, 2021-09)
    To be able to handle crisis and risks there is a need for different skills. We will focus on learning by combining theory and practice. Since NEEDS is a disaster management community, scenarios in line with this theme are wanted.<p> <p>This colloquium can be an experience transfer between educators that work with scenario-based training and want to develop this further. Drawing on different ...
  • Preliminary Hazard Analysis for UAV-assisted Bridge Inspection 

    Ayele, Yonas Zewdu; Ashrafi, Behrooz (Journal article; Tidsskriftartikkel; Peer reviewed, 2020)
    Unmanned aerial vehicle (UAV) technology has found its way into a number of civilian applications in the last 20 years, predominantly due to lower costs and tangible scientific improvements. In its application to structural bridge inspection, UAVs provide two main functions. The first, being the most common, detects damage through visual sensors. The 2D imagery data can be used to quickly ...
  • Recoverability modeling of power distribution systems using accelerated life models: Case of power cut due to extreme weather events in Norway 

    Rød, Bjarte; Barabadi, Abbas; Naseri, Masoud (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-07-09)
    Today’s societies rely on electric power distribution systems. Recent weather events have illustrated that the loss of such service can lead to severe consequences for societies and stakeholders. Hence, to reduce the impact of such extreme events on infrastructure systems and limit the associated losses, it is crucial to design infrastructure that can bounce back and recover rapidly after disruptions ...
  • Lumped, constrained cable modeling with explicit state-space formulation using an elastic version of Baumgarte stabilization 

    Skjong, Stian; Reite, Karl-Johan; Aarsæther, Karl Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-29)
    This paper presents a modeling approach for efficient simulation of slender structures, such as wires, cables and ropes. Lumped structural elements are connected using constraints. These are solved explicitly, using an elastic version of Baumgarte stabilization. This avoids singularities in the matrix inversions. The resulting explicit state-space formulation filters the higher order dynamics and ...
  • Experimental and simulated evaluations of airborne contaminant exposure in a room with a modified localized laminar airflow system 

    Cheng, Zhu; Aganovic, Amar; Cao, Guangyu; Bu, Zhongming (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-15)
    The traditional mixing ventilation is not an energy effective approach to remove indoor air pollutants, maintain breath zone air quality, and control the airborne transmission. This study investigated the potential of a localized laminar airflow ventilation system to alleviate human exposure to pollutants. Breathing thermal manikins with sitting posture and supine posture were used to simulate the ...
  • An Slow Motion Detection Algorithm using High Order Statistic Approach 

    Yuan, Fuqing; Lu, Jinmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-03-16)
    Motion detection is vital for consumer electronics and the Internet of things (IOT). For a scenario where the motion is slow and gentle, the resolution of the motion sensor is critical for the detection, while the algorithm development is another critical issue to differentiate the motion signal from noise measurement. This paper investigates the feasibility of using higher order statistics ...
  • Quantifying the effects of watershed subdivision scale and spatial density of weather inputs on hydrological simulations in a Norwegian Arctic watershed 

    Bui, Minh Tuan; Lu, Jinmei; Nie, Linmei (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-01)
    The effects of watershed subdivisions on hydrological simulations have not been evaluated in Arctic conditions yet. This study applied the Soil and Water Assessment Tool and the threshold drainage area (TDA) technique to evaluate the impacts of watershed subdivision on hydrological simulations at a 5,913-km<sup>2 </sup>Arctic watershed, Målselv. The watershed was discretized according to four TDA ...
  • Data-augmented sequential deep learning for wind power forecasting 

    Chen, Hao; Birkelund, Yngve; Qixia, Zhang (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-15)
    Accurate wind power forecasting plays a critical role in the operation of wind parks and the dispatch of wind energy into the power grid. With excellent automatic pattern recognition and nonlinear mapping ability for big data, deep learning is increasingly employed in wind power forecasting. However, salient realities are that in-situ measured wind data are relatively expensive and inaccessible and ...
  • Simulation of peak tension loads in Subsea power cables during installation 

    Okkerstrøm, Lene; Gudmestad, Ove Tobias; Pedersen, Egil (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
    At present, most of the insurance claims in the offshore wind industry are due to cable failures where a large percentage occurs during the installation of the array and export cables. As the reliability of the cables depends on the location and installation method, it is important to map the risks involved, which can compromise the cable's integrity in individual projects. This paper presents ...
  • A methodology for collecting donning times of thermal protective immersion suits intended to be worn by passengers on vessels operating in cold environments 

    Brünig, Ria; Galea, Edwin R; Batalden, Bjørn-Morten; Oltedal, Helle Asgjerd (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
    Adequate thermal protection for passengers travelling on-board vessels in cold climate regions, such as that provided by thermal protective immersion suits (TPIS), enhances passenger survivability in emergency situations, in particular those requiring the abandonment of the vessel. As emergency abandonment is a time critical process, it is essential to consider the time required to correctly don the ...
  • Examination of turbulence impacts on ultra-short-term wind power and speed forecasts with machine learning 

    Chen, Hao; Birkelund, Yngve; Yuan, Fuqing (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-25)
    Wind turbines’ economic and secure operation can be optimized through accurate ultra-short-term wind power and speed forecasts. Turbulence, considered as a local short-term physical wind phenomenon, affects wind power generation. This paper investigates the use of turbulence intensity for ultra-short-term predictions of wind power and speed with a wind farm in the Arctic, including and excluding ...
  • Probability distributions for wind speed volatility characteristics: A case study of Northern Norway 

    Chen, Hao; Anfinsen, Stian Normann; Birkelund, Yngve; Yuan, Fuqing (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11)
    The Norwegian Arctic is rich in wind resources. The development of wind power in this region can boost green energy and also promote local economies. In wind power engineering, it is a tremendous advantage to base projects on a sound understanding of the intrinsic properties of wind resources in an area. Wind speed volatility, a phenomenon that strongly affects wind power generation, has not received ...
  • Biosignal-Based Driving Skill Classification Using Machine Learning: A Case Study of Maritime Navigation 

    Xue, Hui; Batalden, Bjørn-Morten; Sharma, Puneet; Johansen, Jarle André; Prasad, Dilip K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-10-19)
    This work presents a novel approach to detecting stress differences between experts and novices in Situation Awareness (SA) tasks during maritime navigation using one type of wearable sensor, Empatica E4 Wristband. We propose that for a given workload state, the values of biosignal data collected from wearable sensor vary in experts and novices. We describe methods to conduct a designed SA task ...
  • Resilience Assessment: A Performance‐Based Importance Measure 

    Nouri, ali; Zamani, Ali; Barabadi, Abbas; Mokhberdoran, Mahdi (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-12)
    The resilience of a system can be considered as a function of its reliability and recoverability. Hence, for effective resilience management, the reliability and recoverability of all components which build up the system need to be identified. After that, their importance should be identified using an appropriate model for future resource allocation. The critical infrastructures are under dynamic ...
  • Life in Anticipation of the COVID-19 Pandemic ‘Peak’: Reflecting on ‘Strategies’ for and Variations in attempts at ‘Flattening the Curve’ and Managing the Crisis 

    Staupe-Delgado, Reidar (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-08)
    On March 11th, 2020, the World Health Organization (WHO) declared the emerging COVID-19 threat a pandemic following the global spread of the virus. As countries around the world implemented emergency measures in a concerted effort to handle the emerging pandemic, the nature and implications of the different kinds of precautionary measures adopted have remained contested. The majority of countries ...
  • Locating potential sources of capacity and vulnerability in geographically remote areas: Reflections based on three case studies 

    Hamza, Mo; Eriksson, Kerstin; Staupe-Delgado, Reidar (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-02)
    The relationship between geographical and social forms of remoteness and the concepts of vulnerability and capacity remains unclear. Recognising that capacities and vulnerabilities tend to co-exist in a population, the article assumes that the dynamics between these concepts are situational. In this article we draw on three cases to analyse the issue. An Arctic case study provides insight on remoteness ...
  • Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness 

    Murray, Brian; Perera, Lokukaluge Prasad (Journal article; Tidsskriftartikkel; Peer reviewed, 2021)
    Autonomous ship technology is developing at a rapid pace, with the aim of facilitating safe ship operations. Collision avoidance is one of the most critical tasks that autonomous ships must handle. To support the level of safety associated with collision avoidance, this study suggests to provide autonomous ships with the ability to conduct proactive collision avoidance maneuvers. Proactive collision ...
  • The effect of temperature and digested sewage sludge cover over tailings on the leaching of contaminants from Ballangen tailings deposit 

    Lu, Jinmei; Leiviska, Tiina; Walder, Ingar (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-28)
    Dry covers can be applied above tailings to reduce and prevent formation of acid mine drainage and leaching of contaminants. Efficiency of covers is affected by different parameters, of which temperature change under climate change context is one. Here, a laboratory column leaching experiment was performed under four temperatures, 5, 10, 14, and 18 °C on unoxidized tailings from Ballangen, Norway. ...
  • Assessing the impact of the securitization narrative on climate change adaptation in Nigeria 

    Oramah, Chinwe P; Olsen, Odd Einar Falnes; Gould, Kenneth Arne Pettersen (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-09-01)
    In Nigeria, the threat posed by climate change is leading policymakers and the media to frame climate change as a security threat that warrants support for adaptive actions. We draw upon securitization theory to examine how security narratives affect climate change adaptation. Using primary and secondary data, we find that although securitization arguments are easily identified in climate change ...

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