| 1. |
- Georg, U., et al.
(författare)
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Isotope production comparison at ISOLDE with 1 and 1.4 GeV protons
- 2002
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Ingår i: Nuclear Physics A. - 0375-9474. ; 701, s. 137C-143C
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Konferensbidrag (refereegranskat)abstract
- The difference in isotope production between 1 and 1.4 GeV proton projectiles was investigated at ISOLDE/CERN during the year 1999. As target materials uranium carbide, thorium carbide, lead and lanthanum oxide were used and the ratio of the measured production yields for the two different projectile energies were determined for isotopes of the elements francium, mercury, thallium, xenon, cesium, krypton, rubidium and neon. A comparison of these experimental results with the predictions from a two-step reaction model Monte-Carlo code shows good agreement. (C) 2002 Elsevier Science B.V. All rights reserved.
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| 2. |
- Huang, Luofeng, 1993, et al.
(författare)
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Ship resistance when operating in floating ice floes: a derivation of empirical equations
- 2020
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Ingår i: Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE. - 9780791884393 ; 7
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Konferensbidrag (refereegranskat)abstract
- With the effects of global warming, the Arctic is presenting a new environment where numerous ice floes are floating on the open sea surface. Whilst this has unprecedentedly improved Arctic shipping navigability and brought about significant opportunities, the interaction of such floes with ships has yet to be understood, thus hindering appropriate assessment of corresponding ship performance. This paper presents work on developing empirical equations to estimate the effects of such floes on ship resistance. Based on extensive data from validated computational simulations, the ice-floe resistance has been shown to correlate with ship beam, ship speed, ice concentration, ice thickness and floe diameter, and the regression powers of each the parameter on resistance are ascertained for a container ship. This leads to an empirical equation that can immediately predict ice-floe resistance in a given condition. The proposed approach has the potential to facilitate propulsion power estimates for Arctic shipping, as well as providing valuable insights into ship design for these environmental conditions.
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| 3. |
- Li, Zhiyuan, 1974, et al.
(författare)
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A comparison of two ship performance models against full-scale measurements on a cargo ship on the Northern Sea Route
- 2020
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Ingår i: Proceedings of The 5th International Conference on Ships and Offshore Structures (ICSOS 2020). ; , s. 279-201
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Konferensbidrag (refereegranskat)abstract
- The present paper introduces the development and verification of two ship performance models which have been implemented in a voyage planning tool designed for Arctic operations of commercial vessels. An ice resistance estimation algorithm for ice-floe conditions is proposed and implemented in the ship performance models. The fuel consumption predicted using both of the models are compared against full-scale measurements collected on a cargo ship on the Northern Sea Route. Two further case studies representing different Arctic transit periods are also investigated. This work found that both models predict ship fuel consumption with good and satisfactory accuracy and identified directions for future efforts. Overall, the demonstrations prove that an Arctic voyage planning tool, combined with ship performance estimates taking into account the effect of ice and other environmental parameters, can facilitate safe and sustainable Arctic shipping.
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| 4. |
- Valdez Banda, Osiris, et al.
(författare)
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Towards holistic performance-based conceptual design of Arctic cargo ships
- 2018
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Ingår i: Marine Design XIII. ; 2, s. 831-839
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Konferensbidrag (refereegranskat)abstract
- We present an extension of an earlier presented framework for use in the conceptual design of Arctic cargo ships. To enable a holistic approach, the framework integrates a wide range of performance assessment tools and methods namely (a) Discrete Event Simulation (DES) based Monte Carlo simulations, (b) system thinking, and (c) empirical data analysis. The thinking behind the framework is demonstrated by discussing how it could be applied to assess the design impact of four specific technologies: (1) a ‘Biomimetic anti-icing coating’, (2) a ‘Safe Arctic bridge’ using augmented reality (AR) technology for improved situation awareness,(3) a ‘Arctic voyage planning tool’ using Big data analysis, and (4) the use of low flash point fuels’ in the Arctic.
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