-
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최경식 | - |
dc.contributor.author | 정성엽 | - |
dc.contributor.author | 남종호 | - |
dc.date.accessioned | 2021-12-08T20:41:20Z | - |
dc.date.available | 2021-12-08T20:41:20Z | - |
dc.date.issued | 20090609 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/5992 | - |
dc.description.abstract | Ice load is one of the important design parameters for the construction of icebreaking vessels. In this paper, the design ice load prediction for the icebreaking vessels under normal operating condition in ice-covered sea is discussed. The ice loads under normal operating condition are expected from regular sea trials in moderate ice conditions. In this sense the extreme ice loads during heavy ramming or accidental collision are not considered. Current study describes the global ice load on the hull of the icebreaking vessels. Available ice load data from full-scale sea trials are collected and analyzed according to various ship-ice interaction parameters including displacement, stem angle, speed of a ship and flexural strength and thickness of sea ice. The ice load prediction formula is compared with the collected full-scale sea trials data and it shows a good agreement. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | - | - |
dc.title.alternative | PREDICTION OF DESIGN ICE LOAD ON ICEBREAKING VESSELS UNDER NORMAL OPERATING CONDITIONS | - |
dc.type | Conference | - |
dc.citation.title | Port and Ocean Engineering under Arctic Conditions | - |
dc.citation.volume | 1 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 10 | - |
dc.citation.conferenceName | Port and Ocean Engineering under Arctic Conditions | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(34103) 대전광역시 유성구 유성대로1312번길 32042-866-3114
COPYRIGHT 2021 BY KOREA RESEARCH INSTITUTE OF SHIPS & OCEAN ENGINEERING. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.