Local pressures for ships in ice
| openaire: EC/H2020/723526/EU//SEDNA Ships operating in ice might be exposed to significant ice loading. Using a probabilistic semi-empirical method known as the event-maximum method, the long-term maximum level of ice loading on a ship can be estimated based on parent distributions of short-term f...
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ftaaltouniv:oai:aaltodoc.aalto.fi:123456789/45833 2023-05-15T14:03:01+02:00 Local pressures for ships in ice Shamaei, Farhang Bergström, Martin Li, Fang Taylor, Rocky Kujala, Pentti Department of Mechanical Engineering Marine Technology Memorial University of Newfoundland Aalto-yliopisto Aalto University 2020-11 application/pdf https://aaltodoc.aalto.fi/handle/123456789/45833 https://doi.org/10.1016/j.marstruc.2020.102822 en eng Elsevier Ltd. info:eu-repo/grantAgreement/EC/H2020/723526/EU//SEDNA Marine Structures Volume 74 Shamaei , F , Bergström , M , Li , F , Taylor , R & Kujala , P 2020 , ' Local pressures for ships in ice : Probabilistic analysis of full-scale line-load data ' , Marine Structures , vol. 74 , 102822 . https://doi.org/10.1016/j.marstruc.2020.102822 0951-8339 PURE UUID: a9af4d39-0eb0-44bc-938a-957685f5ec90 PURE ITEMURL: https://research.aalto.fi/en/publications/a9af4d39-0eb0-44bc-938a-957685f5ec90 PURE LINK: http://www.scopus.com/inward/record.url?scp=85089148524&partnerID=8YFLogxK PURE FILEURL: https://research.aalto.fi/files/44872697/ENG_Shamaei_et_al_Local_pressures_for_ships_Marine_Structures.pdf https://aaltodoc.aalto.fi/handle/123456789/45833 URN:NBN:fi:aalto-202008214828 doi:10.1016/j.marstruc.2020.102822 openAccess Arctic shipping Arctic ships Event-maximum method Ice loads Ice pressure Ship design tools A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä publishedVersion 2020 ftaaltouniv https://doi.org/10.1016/j.marstruc.2020.102822 2022-12-15T19:20:26Z | openaire: EC/H2020/723526/EU//SEDNA Ships operating in ice might be exposed to significant ice loading. Using a probabilistic semi-empirical method known as the event-maximum method, the long-term maximum level of ice loading on a ship can be estimated based on parent distributions of short-term full-scale ice load measurements. The event-maximum method is used to model the relationship between extreme local ice pressures and impact area by estimating parameters corresponding to the inverse slope (α) and intercept (x0) for the line of best fit for the tail of ranked peak pressure data versus the natural logarithm of the Weibull plotting position. These best-fit lines are assumed to follow an exponential distribution and associated α and x0 values are produced for different local design areas. This allows for the determination of α-area curves, which reflects the relationship between ice pressure and the local design area. Previous studies have determined α-area curves for different geographical areas such as the Beaufort Sea and South Bering Sea, representing different ice types including both first-year and multi-year ice. In this study, two separate sets of full-scale ice load measurements having been considered, namely measurements from the Kara Sea and the Barents Sea, as well as measurements from the Antarctic Ocean. Using these two datasets, two new α-area curves have been generated that represent among other operating areas (the Kara Sea and the Barents Sea), operating modes (icebreaker assisted operation) and impact areas (aft shoulder) not covered by other curves. Earlier formulations of the event-maximum method are based on local design areas in which the width and height of areas are defined by the size of instrumented rectangular panel areas (or combinations of those areas) on the bow of the vessel from which the data were collected. In that approach, ice thickness is not directly considered since the height of individual panels is based on the dimensions of instrumented areas and moreover, ... Article in Journal/Newspaper Antarc* Antarctic Antarctic Ocean Arctic Barents Sea Beaufort Sea Bering Sea Icebreaker Kara Sea Aalto University Publication Archive (Aaltodoc) Antarctic Antarctic Ocean Arctic Barents Sea Bering Sea Kara Sea The Antarctic Marine Structures 74 102822 |
institution |
Open Polar |
collection |
Aalto University Publication Archive (Aaltodoc) |
op_collection_id |
ftaaltouniv |
language |
English |
topic |
Arctic shipping Arctic ships Event-maximum method Ice loads Ice pressure Ship design tools |
spellingShingle |
Arctic shipping Arctic ships Event-maximum method Ice loads Ice pressure Ship design tools Shamaei, Farhang Bergström, Martin Li, Fang Taylor, Rocky Kujala, Pentti Local pressures for ships in ice |
topic_facet |
Arctic shipping Arctic ships Event-maximum method Ice loads Ice pressure Ship design tools |
description |
| openaire: EC/H2020/723526/EU//SEDNA Ships operating in ice might be exposed to significant ice loading. Using a probabilistic semi-empirical method known as the event-maximum method, the long-term maximum level of ice loading on a ship can be estimated based on parent distributions of short-term full-scale ice load measurements. The event-maximum method is used to model the relationship between extreme local ice pressures and impact area by estimating parameters corresponding to the inverse slope (α) and intercept (x0) for the line of best fit for the tail of ranked peak pressure data versus the natural logarithm of the Weibull plotting position. These best-fit lines are assumed to follow an exponential distribution and associated α and x0 values are produced for different local design areas. This allows for the determination of α-area curves, which reflects the relationship between ice pressure and the local design area. Previous studies have determined α-area curves for different geographical areas such as the Beaufort Sea and South Bering Sea, representing different ice types including both first-year and multi-year ice. In this study, two separate sets of full-scale ice load measurements having been considered, namely measurements from the Kara Sea and the Barents Sea, as well as measurements from the Antarctic Ocean. Using these two datasets, two new α-area curves have been generated that represent among other operating areas (the Kara Sea and the Barents Sea), operating modes (icebreaker assisted operation) and impact areas (aft shoulder) not covered by other curves. Earlier formulations of the event-maximum method are based on local design areas in which the width and height of areas are defined by the size of instrumented rectangular panel areas (or combinations of those areas) on the bow of the vessel from which the data were collected. In that approach, ice thickness is not directly considered since the height of individual panels is based on the dimensions of instrumented areas and moreover, ... |
author2 |
Department of Mechanical Engineering Marine Technology Memorial University of Newfoundland Aalto-yliopisto Aalto University |
format |
Article in Journal/Newspaper |
author |
Shamaei, Farhang Bergström, Martin Li, Fang Taylor, Rocky Kujala, Pentti |
author_facet |
Shamaei, Farhang Bergström, Martin Li, Fang Taylor, Rocky Kujala, Pentti |
author_sort |
Shamaei, Farhang |
title |
Local pressures for ships in ice |
title_short |
Local pressures for ships in ice |
title_full |
Local pressures for ships in ice |
title_fullStr |
Local pressures for ships in ice |
title_full_unstemmed |
Local pressures for ships in ice |
title_sort |
local pressures for ships in ice |
publisher |
Elsevier Ltd. |
publishDate |
2020 |
url |
https://aaltodoc.aalto.fi/handle/123456789/45833 https://doi.org/10.1016/j.marstruc.2020.102822 |
geographic |
Antarctic Antarctic Ocean Arctic Barents Sea Bering Sea Kara Sea The Antarctic |
geographic_facet |
Antarctic Antarctic Ocean Arctic Barents Sea Bering Sea Kara Sea The Antarctic |
genre |
Antarc* Antarctic Antarctic Ocean Arctic Barents Sea Beaufort Sea Bering Sea Icebreaker Kara Sea |
genre_facet |
Antarc* Antarctic Antarctic Ocean Arctic Barents Sea Beaufort Sea Bering Sea Icebreaker Kara Sea |
op_relation |
info:eu-repo/grantAgreement/EC/H2020/723526/EU//SEDNA Marine Structures Volume 74 Shamaei , F , Bergström , M , Li , F , Taylor , R & Kujala , P 2020 , ' Local pressures for ships in ice : Probabilistic analysis of full-scale line-load data ' , Marine Structures , vol. 74 , 102822 . https://doi.org/10.1016/j.marstruc.2020.102822 0951-8339 PURE UUID: a9af4d39-0eb0-44bc-938a-957685f5ec90 PURE ITEMURL: https://research.aalto.fi/en/publications/a9af4d39-0eb0-44bc-938a-957685f5ec90 PURE LINK: http://www.scopus.com/inward/record.url?scp=85089148524&partnerID=8YFLogxK PURE FILEURL: https://research.aalto.fi/files/44872697/ENG_Shamaei_et_al_Local_pressures_for_ships_Marine_Structures.pdf https://aaltodoc.aalto.fi/handle/123456789/45833 URN:NBN:fi:aalto-202008214828 doi:10.1016/j.marstruc.2020.102822 |
op_rights |
openAccess |
op_doi |
https://doi.org/10.1016/j.marstruc.2020.102822 |
container_title |
Marine Structures |
container_volume |
74 |
container_start_page |
102822 |
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1766273485443694592 |