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Ice Pressure Prediction Based on the Probabilistic Method for Ice-Going Vessels in Inland Waterways
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.ORCID iD: 0000-0002-1743-0686
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
Hamburg University of Technology.
Hamburg University of Technology.
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2018 (English)In: Journal of Offshore Mechanics and Arctic Engineering-Transactions of The Asme, ISSN 0892-7219, E-ISSN 1528-896X, Vol. 141, no 2, article id 021501Article in journal, Editorial material (Refereed) Published
Abstract [en]

With increasing need to utilize inland waterways (IWW), the design for IWW vessels gains attention both from a transport efficiency and an emission control point of view. The primarily issue is to estimate the ice pressure acting on the ship hull for inland waterways. Ice information for Lake Mälaren is extracted and analysed in this work. Since the ice properties have great influence on the impact load, they are studied based on empirical formulae and are calibrated by reference data. The ice impact is then predicted for an inland water barge. Probabilistic method is selected to derive the load based on available field test data. Several parent datasets are chosen, and different design strategies are implemented to evaluate the ice impact load and investigate the influences from exposure factors. The paper finds that the design curve of α = 0.265α-0.57 can be used for Lake Mälaren. The approach itself introduces a possible way to investigate loads on ice affected IWW.With increasing need to utilize inland waterways (IWW), the design for IWW vessels gains attention both from a transport efficiency and an emission control point of view. The primarily issue is to estimate the ice pressure acting on the ship hull for inland waterways. Ice information for Lake Mälaren is extracted and analysed in this work. Since the ice properties have great influence on the impact load, they are studied based on empirical formulae and are calibrated by reference data. The ice impact is then predicted for an inland water barge. Probabilistic method is selected to derive the load based on available field test data. Several parent datasets are chosen, and different design strategies are implemented to evaluate the ice impact load and investigate the influences from exposure factors. The paper finds that the design curve of α = 0.265α-0.57 can be used for Lake Mälaren. The approach itself introduces a possible way to investigate loads on ice affected IWW.

Place, publisher, year, edition, pages
2018. Vol. 141, no 2, article id 021501
Keywords [en]
Finnish-Swedish ice class regulations (FSICR), Probabilistic method, Ice properties, Ice thickness distribution, Statistical analysis, Fresh Water Ice, Extreme ice pressure, Ice Loads, Inland Waterways, Level Ice, Ship Ice impact, Arctic engineering, Marine engineering, Ships, Water, Fresh Water, Ice resistances, Swedishs, Ice
National Category
Engineering and Technology
Research subject
Vehicle and Maritime Engineering
Identifiers
URN: urn:nbn:se:kth:diva-239026DOI: 10.1115/1.4041015ISI: 000461037200004Scopus ID: 2-s2.0-85072172483OAI: oai:DiVA.org:kth-239026DiVA, id: diva2:1263286
Note

QCR 20181206

QC 20191016

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2019-10-16Bibliographically approved

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Cheemakurthy, HarshaGarme, KarlBurman, Magnus

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