SINTEF , headquartered in Trondheim, Norway, is the largest independent research organisation in Scandinavia. Every year, SINTEF supports research and development at 2,000 or so Norwegian and overseas companies via its research and development activity. The acronym SINTEF means "The Foundation for Scientific and Industrial Research". SINTEF was established at the Norwegian Institute of Technology in Trondheim in 1950 and expanded rapidly in the following years. The largest expansion came in 1993 when the "Centre for Industrial Research" in Oslo merged with SINTEF and created the SINTEF Oslo campus. Wikipedia.
Pradhan S.,Norwegian University of Science and Technology |
Pradhan S.,Sintef |
Hansen A.,Norwegian University of Science and Technology |
Chakrabarti B.K.,Saha Institute of Nuclear Physics
Reviews of Modern Physics | Year: 2010
The fiber bundle model describes a collection of elastic fibers under load. The fibers fail successively and, for each failure, the load distribution among the surviving fibers changes. Even though very simple, this model captures the essentials of failure processes in a large number of materials and settings. A review of the fiber bundle model is presented with different load redistribution mechanisms from the point of view of statistics and statistical physics rather than materials science, with a focus on concepts such as criticality, universality, and fluctuations. The fiber bundle model is discussed as a tool for understanding phenomena such as creep and fatigue and how it is used to describe the behavior of fiber-reinforced composites as well as modeling, e.g., network failure, traffic jams, and earthquake dynamics. © 2010 The American Physical Society.
Journal of Computer-Mediated Communication | Year: 2012
The rapid adoption of social networking sites (SNSs) raises important questions about the social implications of such usage. Drawing on unique longitudinal data, surveying a representative sample of Norwegian online users (N=2,000, age 15-75 years) in 3 annual waves (2008, 2009, and 2010), this study found a significantly higher score among SNS users in comparison to nonusers in 3 out of 4 social capital dimensions: face-to-face interactions, number of acquaintances, and bridging capital. However, SNS-users, and in particular males, reported more loneliness than nonusers. Furthermore, cluster analyses identified 5 distinct types of SNS users: Sporadics, Lurkers, Socializers, Debaters, and Advanced. Results indicate that Socializers report higher levels of social capital compared to other user types. © 2012 International Communication Association.
Computers and Geotechnics | Year: 2013
Numerical simulations of power-law fluid flow in a rough fracture of regular or irregular topography were carried out using the finite-volume method under the assumptions of the lubrication theory approximation. The model was verified by comparing its results with analytical results available for regular 1D sinusoidal profiles across or along the flow. For a regular profile with sinusoidal variation of the aperture in both directions, the model confirmed that a geometric average can be used as a first approximation, as long as the variation in the profile is not too large. For all fracture topographies studied, reducing the exponent, i.e. making the fluid more shear-thinning, resulted in increasing equivalent hydraulic aperture. The normalized equivalent hydraulic aperture decreased with the normalized standard deviation of the fracture aperture for all fracture topographies studied, except a fracture with a large-scale feature representing a zone of overlap in the middle of the fracture. The validity of the assumptions made in the numerical simulations, in particular the lubrication theory approximation, is discussed and the directions for future work are outlined in conclusion. © 2013 Elsevier Ltd.
Agency: Cordis | Branch: H2020 | Program: ECSEL-RIA | Phase: ECSEL-01-2014 | Award Amount: 17.29M | Year: 2015
Nowadays, the major part of offshore operations is done by divers in dangerous missions. Since their number is limited, the dependency on their work represents a real threat to the offshore industry. The extended use of unmanned underwater vehicles (AUVs/ROVs) could solve this problem but since they are usually tailor-made for a specific task and difficult to operate their deployment is very expensive. The overall goal of the SWARMs project is to expand the use of AUVs/ROVs and facilitate the creation, planning and execution of maritime and offshore operations. This will reduce the operational cost and increase the safety of tasks assigned to divers. The SWARMs project aims to make AUVs/ROVs accessible to more users by: Enabling AUVs/ROVs to work in a cooperative mesh thus opening up new applications and ensuring re-usability as no specialized vehicles are needed but heterogeneous standard vehicles can combine their capabilities, Increasing the autonomy of AUVs and improving the usability of ROVs The approach is to design and develop an integrated platform (a set of Software/Hardware components), incorporated into the current generation of underwater vehicles in order to improve autonomy, cooperation, robustness, cost-effectiveness, and reliability of the offshore operations. SWARMs achievements will be demonstrated in two field tests in different scenarios: Inspection, maintenance and repair of offshore infrastructure Pollution monitoring Offshore construction operations SWARMs is an industry-led project: big technology companies will collaborate with SMEs specialized in the subsea, robotics and communication sectors and universities and research institutions to ensure that the newest innovations in subsea robotics will arrive fast to market. As voice of the customer, two end-users are also part of the consortium.
Agency: Cordis | Branch: H2020 | Program: RIA | Phase: LCE-21-2015 | Award Amount: 4.00M | Year: 2016
SET-Nav will support strategic decision making in Europes energy sector, enhancing innovation towards a clean, secure and efficient energy system. Our research will enable the EC, national governments and regulators to facilitate the development of optimal technology portfolios by market actors. We will comprehensively address critical uncertainties and derive appropriate policy and market responses. Our findings will support the further development of the SET-Plan and its implementation by continuous stakeholder involvement. These contributions of the SET-Nav project rest on three pillars: The wide range of objectives and analytical challenges set out by the call for proposals can only be met by developing a broad and technically-advanced modelling portfolio. Advancing this portfolio and enabling knowledge exchange via a modelling forum is our first pillar. The EUs energy, innovation and climate challenges define the direction of a future EU energy system, but the specific technology pathways are policy sensitive and need careful comparative evaluation. This is our second pillar. Using our strengthened modelling capabilities in an integrated modelling hierarchy, we will analyse multiple dimensions of impact of future pathways: sustainability, reliability and supply security, global competitiveness and efficiency. This analysis will combine bottom-up case studies linked to the full range of SET-Plan themes with holistic transformation pathways. Stakeholder dialogue and dissemination is the third pillar of SET-Nav. We have prepared for a lively stakeholder dialogue through a series of events on critical SET-Plan themes. The active involvement of stakeholders in a two-way feedback process will provide a reality check on our modelling assumptions and approaches, and ensure high policy relevance. Our aim is to ensure policy and market actors alike can navigate effectively through the diverse options available on energy innovation and system transformation.