Ice management and design philosophy
Ice management (IM) is defined as all activities carried out with the objective of mitigating hazardous situations by reducing or avoiding actions from any kind of ice feature to a protected unit (e.g. a drilling vessel) and includes several types of barriers. IM barriers are ranging from ice observ...
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2583098 2024-09-09T19:26:20+00:00 Ice management and design philosophy Ruud, Stian Knud Skjetne, Roger 2018 application/pdf http://hdl.handle.net/11250/2583098 https://doi.org/10.1201/9780429440519 eng eng Taylor & Francis Marine Design XIII(2018) https://www.ntnu.edu/samcot Norges forskningsråd: 223254 Norges forskningsråd: 203471 urn:isbn:978-1-138-54187-0 http://hdl.handle.net/11250/2583098 https://doi.org/10.1201/9780429440519 cristin:1626434 819-830 Arktisk teknologi Arctic Technology Isforvaltning Ice Management Risikostyring Risk management VDP::Offshoreteknologi: 581 VDP::Offshore technology: 581 Chapter 2018 ftntnutrondheimi https://doi.org/10.1201/9780429440519 2024-06-21T04:53:03Z Ice management (IM) is defined as all activities carried out with the objective of mitigating hazardous situations by reducing or avoiding actions from any kind of ice feature to a protected unit (e.g. a drilling vessel) and includes several types of barriers. IM barriers are ranging from ice observation, ice prediction, ice alerting, ice fighting with icebreakers, and disconnection procedures of the protected unit. The design decisions of the IM barrier systems can be based on qualitative or quantitative performance models. Qualitative descriptions of independent and dependent barriers are first defined and exemplified with qualitative decision criteria. Quali-tative concepts for barrier performance of ice prediction are defined and illustrated in event trees. National barrier regulations (e.g. PSA) contain requirements to model quantitatively the barrier performances. Quantification of the IM performance, which are defined by probabilities of barrier functions, is a major challenge due to lack of data and existing uncertainties. Finally, the paper presents a brief plan for demonstration of the performance models in the design phase with experience data collection supporting the safe learning principle. acceptedVersion Locked until 4.6.2019 due to copyright restrictions. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in [Marine Design XIII(2018)] on [4 June 2018], available online: https://www.taylorfrancis.com/books/9780429440519/chapters/10.1201/9780429440519-20 Article in Journal/Newspaper Arctic Arktis* NTNU Open Archive (Norwegian University of Science and Technology) Arctic |
institution |
Open Polar |
collection |
NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
topic |
Arktisk teknologi Arctic Technology Isforvaltning Ice Management Risikostyring Risk management VDP::Offshoreteknologi: 581 VDP::Offshore technology: 581 |
spellingShingle |
Arktisk teknologi Arctic Technology Isforvaltning Ice Management Risikostyring Risk management VDP::Offshoreteknologi: 581 VDP::Offshore technology: 581 Ruud, Stian Knud Skjetne, Roger Ice management and design philosophy |
topic_facet |
Arktisk teknologi Arctic Technology Isforvaltning Ice Management Risikostyring Risk management VDP::Offshoreteknologi: 581 VDP::Offshore technology: 581 |
description |
Ice management (IM) is defined as all activities carried out with the objective of mitigating hazardous situations by reducing or avoiding actions from any kind of ice feature to a protected unit (e.g. a drilling vessel) and includes several types of barriers. IM barriers are ranging from ice observation, ice prediction, ice alerting, ice fighting with icebreakers, and disconnection procedures of the protected unit. The design decisions of the IM barrier systems can be based on qualitative or quantitative performance models. Qualitative descriptions of independent and dependent barriers are first defined and exemplified with qualitative decision criteria. Quali-tative concepts for barrier performance of ice prediction are defined and illustrated in event trees. National barrier regulations (e.g. PSA) contain requirements to model quantitatively the barrier performances. Quantification of the IM performance, which are defined by probabilities of barrier functions, is a major challenge due to lack of data and existing uncertainties. Finally, the paper presents a brief plan for demonstration of the performance models in the design phase with experience data collection supporting the safe learning principle. acceptedVersion Locked until 4.6.2019 due to copyright restrictions. This is an Accepted Manuscript of a book chapter published by Routledge/CRC Press in [Marine Design XIII(2018)] on [4 June 2018], available online: https://www.taylorfrancis.com/books/9780429440519/chapters/10.1201/9780429440519-20 |
format |
Article in Journal/Newspaper |
author |
Ruud, Stian Knud Skjetne, Roger |
author_facet |
Ruud, Stian Knud Skjetne, Roger |
author_sort |
Ruud, Stian Knud |
title |
Ice management and design philosophy |
title_short |
Ice management and design philosophy |
title_full |
Ice management and design philosophy |
title_fullStr |
Ice management and design philosophy |
title_full_unstemmed |
Ice management and design philosophy |
title_sort |
ice management and design philosophy |
publisher |
Taylor & Francis |
publishDate |
2018 |
url |
http://hdl.handle.net/11250/2583098 https://doi.org/10.1201/9780429440519 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arktis* |
genre_facet |
Arctic Arktis* |
op_source |
819-830 |
op_relation |
Marine Design XIII(2018) https://www.ntnu.edu/samcot Norges forskningsråd: 223254 Norges forskningsråd: 203471 urn:isbn:978-1-138-54187-0 http://hdl.handle.net/11250/2583098 https://doi.org/10.1201/9780429440519 cristin:1626434 |
op_doi |
https://doi.org/10.1201/9780429440519 |
_version_ |
1809895975012007936 |