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research-article

ICE PRESSURE PREDICTION BASED ON THE PROBABILISTIC METHOD FOR ICE-GOING VESSELS IN INLAND WATERWAYS

[+] Author and Article Information
Meng Zhang

SCI-Aeronautical and Vehicle Engineering, Royal Institute of Technology, KTH Fakturaservice, Box 24075, 104 50 Stockholm
mengzh@kth.se

Harsha Cheemakurthy

SCI-Aeronautical and Vehicle Engineering, Royal Institute of Technology, KTH Fakturaservice, Box 24075, 104 50 Stockholm
harsha@kth.se

S⊘ren Ehlers

Norwegian University of Science and Technology/Hamburg University of Technology, Germany, Am Schwarzenberg-Campus 4C, 21073, Hamburg
ehlers@tuhh.de

R. U. Franz von Bock und Polach

Hamburg University of Technology, Germany, Am Schwarzenberg-Campus 4C, 21073, Hamburg
franz.vonbock@tuhh.de

Karl Garme

SCI-Aeronautical and Vehicle Engineering, Royal Institute of Technology, KTH Fakturaservice, Box 24075, 104 50 Stockholm
garme@kth.se

Magnus Burman

SCI-Aeronautical and Vehicle Engineering, Royal Institute of Technology, KTH Fakturaservice, Box 24075, 104 50 Stockholm
mburman@kth.se

1Corresponding author.

ASME doi:10.1115/1.4041015 History: Received April 11, 2018; Revised July 24, 2018

Abstract

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 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 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 a=0.265a^(-0.57) can be used for Lake Mälaren. The approach itself introduces a possible way to investigate loads on ice affected IWW.

Copyright (c) 2018 by ASME
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