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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.
KTH, School of Engineering Sciences (SCI), Aeronautical and Vehicle Engineering.
Norwegian Univ Sci & Technol, Trondheim, Norway.;Hamburg Univ Technol, D-21073 Hamburg, Germany..
Hamburg Univ Technol, D-21073 Hamburg, Germany..
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2018 (English)In: PROCEEDINGS OF THE ASME 37TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2018, VOL 8, AMER SOC MECHANICAL ENGINEERS , 2018, article id V008T07A038Conference paper, Published paper (Refereed)
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 Malaren 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 alpha = 0.265a(-0.57) can be used for Lake Malaren. The approach itself introduces a possible way to investigate loads on ice affected IWW.

Place, publisher, year, edition, pages
AMER SOC MECHANICAL ENGINEERS , 2018. article id V008T07A038
Series
Proceedings of the ASME International Conference on Ocean Offshore and Arctic Engineering, ISSN 2153-4772
Keywords [en]
IWW, ice data, ice impact load, FSICR, probabilistic method, ice load height
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-239862DOI: 10.1115/OMAE2018-77668ISI: 000449724500038Scopus ID: 2-s2.0-85055559962ISBN: 978-0-7918-5129-6 (print)OAI: oai:DiVA.org:kth-239862DiVA, id: diva2:1270912
Conference
37th ASME International Conference on Ocean, Offshore and Arctic Engineering, JUN 17-22, 2018, Madrid, SPAIN
Note

QC 20181214

Available from: 2018-12-14 Created: 2018-12-14 Last updated: 2019-05-20Bibliographically approved

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Zhang, MengCheemakurthy, HarshaGarme, KarlBurman, Magnus

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