Ice pressure prediction based on the probabilistic method for ice-going vessels in inland waterways.Show others and affiliations
2018 (English)In: Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2018): Volume 8., ASME International , 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
ASME International , 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-s2.0-85055559962OAI: oai:DiVA.org:kth-239862DiVA, id: diva2:1270912
Conference
ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2018, Madrid17 June 2018 through 22 June 2018
Note
QC 20181214
Part of proceedings: ISBN 978-0-7918-5129-6
2018-12-142018-12-142022-06-26Bibliographically approved