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Course stability analysis for towing system of a gravity-based structure in managed ice fields
School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, People’s Republic of China.
School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, People’s Republic of China.
School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, People’s Republic of China.
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.ORCID iD: 0000-0002-1743-0686
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2023 (English)In: Ships and Offshore Structures, ISSN 1744-5302, E-ISSN 1754-212X, Vol. 18, no 1, p. 8-20Article in journal (Refereed) Published
Abstract [en]

Compared to open water, the presence of ice floes in ice-covered water may pose additional challenges tothe towing operations of offshore platforms. This paper proposes a numerical model for analyzing coursestability of a gravity-based structure during towing operation in managed ice fields, considering coupledmotions of tugs, towed platform, and ice floes. A discrete element method is applied to simulateinteraction between drifting ice floes and structures, and verified by existing model tests. The motions oftug and towed platform are coupled through a catenary towline model. A proportional-differentialcontroller is employed to adjust heading and lateral position of tug. The effects of main factors, such astugs’ number, towline length, ice concentration, rudder area and controller gains on course stability arediscussed through numerical case studies. The presented numerical approach is expected to providepractical guidance for towing design, and ensure safety of towing operation.

Place, publisher, year, edition, pages
Informa UK Limited , 2023. Vol. 18, no 1, p. 8-20
Keywords [en]
Towing system; course stability; discrete element method; managed ice; proportional-differential control
National Category
Marine Engineering
Identifiers
URN: urn:nbn:se:kth:diva-309044DOI: 10.1080/17445302.2021.2005883ISI: 000726474700001Scopus ID: 2-s2.0-85121041005OAI: oai:DiVA.org:kth-309044DiVA, id: diva2:1639235
Note

QC 20250429

Available from: 2022-02-21 Created: 2022-02-21 Last updated: 2025-04-29Bibliographically approved

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Zhang, Meng

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