DOI | Resolve DOI: https://doi.org/10.1016/j.oceaneng.2021.110248 |
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Author | Search for: Islam, Mohammed1ORCID identifier: https://orcid.org/0000-0002-2129-5333; Search for: Mills, Jason1ORCID identifier: https://orcid.org/0000-0002-3040-9048; Search for: Gash, Robert1; Search for: Pearson, Wayne1ORCID identifier: https://orcid.org/0000-0003-2163-0071 |
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Affiliation | - National Research Council of Canada. Ocean, Coastal and River Engineering
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Format | Text, Article |
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Subject | regression analysis; dynamic positioning vessel; managed ice-field; vessel-ice interactions; empirical modelling |
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Abstract | Empirical models based on full-scale or model scale measurements are often preferred over high-fidelity numerical models when real-time predictions for ice actions on ships and floating offshore platforms are needed. This paper presents multiple regression-based empirical models for predicting a Dynamically Position (DP) controlled vessel and managed ice-field interactions developed using a large dataset from ice basin tests of two distinct DP-controlled vessels. The authors carried out a detailed analysis of measurements from two physical modelling programs for developing a unique database. A multiple regression modelling procedure was developed to predict the time-averaged and average peaks of forces and moment of the DP-controlled vessels due to ice actions in multiple configurations of managed ice-field. The models were validated using model scale measurements for the predictions of time-averaged and average peak responses. The models were then used to evaluate the effects of each ice-field parameter on vessel forces and moment and interaction event parameters. The models presented in this paper showed reasonable accuracy in predicting the effects of several ice-field parameters on the forces and moments of two distinct DP-controlled vessels in a range of realistic operating conditions. |
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Publication date | 2021-11-26 |
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Publisher | Elsevier |
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In | |
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Language | English |
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Peer reviewed | Yes |
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Identifier | S0029801821015584 |
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Export citation | Export as RIS |
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Report a correction | Report a correction (opens in a new tab) |
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Record identifier | a82d6433-02a6-4d69-8bf2-80ec0451544f |
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Record created | 2025-06-06 |
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Record modified | 2025-06-06 |
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