Assessing the ship motion prediction capabilities of the open-source model NEMOH against field observations.
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| Title: | Assessing the ship motion prediction capabilities of the open-source model NEMOH against field observations. |
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| Authors: | Yu, Tianshi1 (AUTHOR) tians.yu7@gmail.com, Wang, Ziyue1 (AUTHOR), Nelli, Filippo2 (AUTHOR), Tan, Ying3 (AUTHOR), Ducrozet, Guillaume4 (AUTHOR), Toffoli, Alessandro1 (AUTHOR) |
| Source: | Ocean Engineering. Jan2026, Vol. 344, pN.PAG-N.PAG. 1p. |
| Subjects: | Boundary element methods, Vertical motion, Empirical research, Ocean turbulence, Maritime management |
| Abstract: | • NEMOH, an open-source boundary element solver, is assessed for ship motion prediction. • Predicted ship motions based on field wave spectra match IMU measurements well. • Discrepancies in pitch and roll are identified under specific extreme sea conditions. • Linear and nonlinear features of field sea-state and ship-motion data are analyzed. Accurate ship motion prediction is critical for safe and efficient maritime operations, particularly in open ocean environments. This study evaluates the capability of NEMOH, an open-source potential flow boundary element solver, as an example of a ship motion prediction tool for real-world open ocean conditions. A linear model, known as the Response Amplitude Operator (RAO), is obtained using NEMOH and is combined with the wave directional spectrum derived from the WaMoS-II marine radar on the research vessel Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE) to predict ship motion responses in the frequency domain. Predictions of heave, pitch and roll are benchmarked against concurrent ship motion observations recorded by an onboard inertial measurement unit (IMU). The comparisons, based on the zeroth order moment of the ship motion spectrum, demonstrate a reliable heave prediction (Pearson correlation coefficient r = 0.89 , scatter index SI = 0.41), a reasonable pitch prediction (r = 0.80 , SI = 0.47), and an acceptable roll prediction (r = 0.63 , SI = 0.84). More significant discrepancies for pitch and roll are identified under specific extreme sea conditions. The results demonstrate the capability of NEMOH, offering insights into its applicability for real-world maritime operations. [ABSTRACT FROM AUTHOR] |
| Copyright of Ocean Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 190852529 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Assessing the ship motion prediction capabilities of the open-source model NEMOH against field observations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yu%2C+Tianshi%22">Yu, Tianshi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tians.yu7@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Ziyue%22">Wang, Ziyue</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nelli%2C+Filippo%22">Nelli, Filippo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tan%2C+Ying%22">Tan, Ying</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ducrozet%2C+Guillaume%22">Ducrozet, Guillaume</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Toffoli%2C+Alessandro%22">Toffoli, Alessandro</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Ocean+Engineering%22">Ocean Engineering</searchLink>. Jan2026, Vol. 344, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Boundary+element+methods%22">Boundary element methods</searchLink><br /><searchLink fieldCode="DE" term="%22Vertical+motion%22">Vertical motion</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink><br /><searchLink fieldCode="DE" term="%22Ocean+turbulence%22">Ocean turbulence</searchLink><br /><searchLink fieldCode="DE" term="%22Maritime+management%22">Maritime management</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • NEMOH, an open-source boundary element solver, is assessed for ship motion prediction. • Predicted ship motions based on field wave spectra match IMU measurements well. • Discrepancies in pitch and roll are identified under specific extreme sea conditions. • Linear and nonlinear features of field sea-state and ship-motion data are analyzed. Accurate ship motion prediction is critical for safe and efficient maritime operations, particularly in open ocean environments. This study evaluates the capability of NEMOH, an open-source potential flow boundary element solver, as an example of a ship motion prediction tool for real-world open ocean conditions. A linear model, known as the Response Amplitude Operator (RAO), is obtained using NEMOH and is combined with the wave directional spectrum derived from the WaMoS-II marine radar on the research vessel Akademik Tryoshnikov during the Antarctic Circumnavigation Expedition (ACE) to predict ship motion responses in the frequency domain. Predictions of heave, pitch and roll are benchmarked against concurrent ship motion observations recorded by an onboard inertial measurement unit (IMU). The comparisons, based on the zeroth order moment of the ship motion spectrum, demonstrate a reliable heave prediction (Pearson correlation coefficient r = 0.89 , scatter index SI = 0.41), a reasonable pitch prediction (r = 0.80 , SI = 0.47), and an acceptable roll prediction (r = 0.63 , SI = 0.84). More significant discrepancies for pitch and roll are identified under specific extreme sea conditions. The results demonstrate the capability of NEMOH, offering insights into its applicability for real-world maritime operations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Ocean Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.oceaneng.2025.123580 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Boundary element methods Type: general – SubjectFull: Vertical motion Type: general – SubjectFull: Empirical research Type: general – SubjectFull: Ocean turbulence Type: general – SubjectFull: Maritime management Type: general Titles: – TitleFull: Assessing the ship motion prediction capabilities of the open-source model NEMOH against field observations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yu, Tianshi – PersonEntity: Name: NameFull: Wang, Ziyue – PersonEntity: Name: NameFull: Nelli, Filippo – PersonEntity: Name: NameFull: Tan, Ying – PersonEntity: Name: NameFull: Ducrozet, Guillaume – PersonEntity: Name: NameFull: Toffoli, Alessandro IsPartOfRelationships: – BibEntity: Dates: – D: 20 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00298018 Numbering: – Type: volume Value: 344 Titles: – TitleFull: Ocean Engineering Type: main |
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