With increasing need to utilize inland waterways (IWW), the design of IWW vessels gains attention both from a transport efficiency and an emission control point of view. The primary challenge is to estimate the ice pressure acting on the ship hull for IWW. Ice information for Lake Mälaren is extracted and analyzed 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 IWW 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 influence from exposure factors. The paper finds that the design curve of can be used for Lake Mälaren. The approach itself introduces a possible way to investigate loads on ice-affected IWW.
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April 2019
Research-Article
Ice Pressure Prediction Based on the Probabilistic Method for Ice-Going Vessels in Inland Waterways
Meng Zhang,
Meng Zhang
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mengzh@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mengzh@kth.se
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Harsha Cheemakurthy,
Harsha Cheemakurthy
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: harsha@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: harsha@kth.se
Search for other works by this author on:
Sören Ehlers,
Sören Ehlers
Norwegian University of
Science and Technology,
Hamburg University of Technology,
Hamburg 21073, Germany
e-mail: ehlers@tuhh.de
Science and Technology,
Hamburg University of Technology,
Am Schwarzenberg-Campus 4C
,Hamburg 21073, Germany
e-mail: ehlers@tuhh.de
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R. U. Franz von Bock und Polach,
R. U. Franz von Bock und Polach
Institute for Ship Structural Design and Analysis,
Hamburg University of Technology,
Hamburg 21073, Germany
e-mail: franz.vonbock@tuhh.de
Hamburg University of Technology,
Am Schwarzenberg-Campus 4C
,Hamburg 21073, Germany
e-mail: franz.vonbock@tuhh.de
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Karl Garme,
Karl Garme
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: garme@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: garme@kth.se
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Magnus Burman
Magnus Burman
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mburman@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mburman@kth.se
Search for other works by this author on:
Meng Zhang
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mengzh@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mengzh@kth.se
Harsha Cheemakurthy
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: harsha@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: harsha@kth.se
Sören Ehlers
Norwegian University of
Science and Technology,
Hamburg University of Technology,
Hamburg 21073, Germany
e-mail: ehlers@tuhh.de
Science and Technology,
Hamburg University of Technology,
Am Schwarzenberg-Campus 4C
,Hamburg 21073, Germany
e-mail: ehlers@tuhh.de
R. U. Franz von Bock und Polach
Institute for Ship Structural Design and Analysis,
Hamburg University of Technology,
Hamburg 21073, Germany
e-mail: franz.vonbock@tuhh.de
Hamburg University of Technology,
Am Schwarzenberg-Campus 4C
,Hamburg 21073, Germany
e-mail: franz.vonbock@tuhh.de
Karl Garme
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: garme@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: garme@kth.se
Magnus Burman
SCI-Aeronautical and Vehicle Engineering,
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mburman@kth.se
Royal Institute of Technology,
KTH Fakturaservice,
Box 24075,
Stockholm 104 50, Sweden
e-mail: mburman@kth.se
Contributed by the Ocean, Offshore, and Arctic Engineering Division of ASME for publication in the JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING. Manuscript received April 11, 2018; final manuscript received July 24, 2018; published online October 1, 2018. Assoc. Editor: Yordan Garbatov.
J. Offshore Mech. Arct. Eng. Apr 2019, 141(2): 021501 (15 pages)
Published Online: October 1, 2018
Article history
Received:
April 11, 2018
Revised:
July 24, 2018
Citation
Zhang, M., Cheemakurthy, H., Ehlers, S., Franz von Bock und Polach, R. U., Garme, K., and Burman, M. (October 1, 2018). "Ice Pressure Prediction Based on the Probabilistic Method for Ice-Going Vessels in Inland Waterways." ASME. J. Offshore Mech. Arct. Eng. April 2019; 141(2): 021501. https://doi.org/10.1115/1.4041015
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