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A Numerical Ice Load Prediction Model Based on Ice-Hull Collision Mechanism
KTH, Skolan för teknikvetenskap (SCI), Farkost och flyg, Marina system. KTH, Skolan för teknikvetenskap (SCI), Teknisk mekanik, Farkostteknik och Solidmekanik. 8910127185.ORCID-id: 0000-0002-1743-0686
KTH, Skolan för teknikvetenskap (SCI), Teknisk mekanik, Farkostteknik och Solidmekanik.ORCID-id: 0000-0002-9110-9401
KTH, Skolan för teknikvetenskap (SCI), Teknisk mekanik, Farkostteknik och Solidmekanik.ORCID-id: 0000-0002-1187-4796
(Jiangsu University of Science and Technology)
2020 (engelsk)Inngår i: Applied Sciences, ISSN ISSN 2076-3417, Vol. 10Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A simplified numerical model is introduced to predict ice impact force acting on the ship hull in level ice condition. The model is based on ice-hull collision mechanisms and the essential ice breaking characteristics. The two critical ice failure modes, localized crushing and bending breaking, are addressed. An energy method is used to estimate the crushing force and the indentation displacement for different geometry schemes of ice-ship interaction. Ice bending breaking scenario is taken as a semi-infinite plate under a distributed load resting on an elastic foundation. An integrated complete ice-hull impact event is introduced with ice failure modes and breaking patterns. Impact location randomness and number of broken ice wedges are considered in order to establish a stochastic model. The analysis is validated by comparison with the model ice test of a shuttle passenger ferry performed in May 2017 for SSPA Sweden AB at Aker Arctic Technology Inc. Good agreement is achieved with appropriate parameter selection assumed from the model test and when ice bending failure is dominant. This model can be used to predict the ice impact load and creates a bridge between design parameters (ice properties and ship geometry) and structure loads.

sted, utgiver, år, opplag, sider
2020. Vol. 10
Emneord [en]
ice-hull interaction, level ice, ice load predication, model validation, ice model test, parametric study
HSV kategori
Forskningsprogram
Farkostteknik
Identifikatorer
URN: urn:nbn:se:kth:diva-266770DOI: 10.3390/app10020692OAI: oai:DiVA.org:kth-266770DiVA, id: diva2:1387147
Merknad

QC 20200123

Tilgjengelig fra: 2020-01-20 Laget: 2020-01-20 Sist oppdatert: 2020-01-23bibliografisk kontrollert

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