Future of ship stability

Manolis Angelou; Igor Bačkalov; Ermina Begovi´c; Jakub Cichowicz; Karl Garme; Jean-François Leguen; Marcos Míguez González,; Nicola Petacco; Claudio A. Rodríguez; Pekka Ruponen; Martin Schreuder; Nikos Themelis

Future of ship stability

Manolis Angelou, Igor Bačkalov, Ermina Begovi´c, Jakub Cichowicz, Karl Garme, Jean-François Leguen, Marcos Míguez González,, Nicola Petacco, Claudio A. Rodríguez, Pekka Ruponen, Martin Schreuder, Nikos Themelis

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Konferenssiesitys › Scientific › vertaisarvioitu

Abstrakti

The paper discusses the future of ship stability as a scientific and engineering discipline, in view of the possibilities for making progress in the “conventional” ship stability topics by employing advanced numerical tools (such as CFD), artificial intelligence techniques (such as machine learning), high-performance computing, increased connectivity, and unprecedented availability of the stabilityrelevant
data. The paper also addresses the emerging ship stability issues prompted by energy transition and autonomous shipping, which are not in the focus of the maritime research community and, at the same time, lack adequate regulatory support. The present view of the evolution of ship stability is provided in the conclusions.

Alkuperäiskieli	Englanti
Sivut	832-851
Sivumäärä	20
Tila	Julkaistu - 2024
OKM-julkaisutyyppi	Ei sovellu
Tapahtuma	International Conference on the Stability and Safety of Ships and Ocean Vehicles - Wuxi, Kiina Kesto: 13 lokak. 2024 → 18 lokak. 2024 Konferenssinumero: 2

Conference

Conference	International Conference on the Stability and Safety of Ships and Ocean Vehicles
Lyhennettä	STAB&S
Maa/Alue	Kiina
Kaupunki	Wuxi
Ajanjakso	13/10/2024 → 18/10/2024

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@conference{0775132ada394802826ec71ec754d7f7,

title = "Future of ship stability",

abstract = "The paper discusses the future of ship stability as a scientific and engineering discipline, in view of the possibilities for making progress in the “conventional” ship stability topics by employing advanced numerical tools (such as CFD), artificial intelligence techniques (such as machine learning), high-performance computing, increased connectivity, and unprecedented availability of the stabilityrelevantdata. The paper also addresses the emerging ship stability issues prompted by energy transition and autonomous shipping, which are not in the focus of the maritime research community and, at the same time, lack adequate regulatory support. The present view of the evolution of ship stability is provided in the conclusions.",

keywords = "ship stability, ship dynamics, ship safety, CFD, machine learning, artificial intelligence, energy transition, autonomous ships, review",

author = "Manolis Angelou and Igor Ba{\v c}kalov and Ermina Begovi´c and Jakub Cichowicz and Karl Garme and Jean-Fran{\c c}ois Leguen and {M{\'i}guez Gonz{\'a}lez,}, Marcos and Nicola Petacco and Rodr{\'i}guez, {Claudio A.} and Pekka Ruponen and Martin Schreuder and Nikos Themelis",

year = "2024",

language = "English",

pages = "832--851",

note = "International Conference on the Stability and Safety of Ships and Ocean Vehicles, STAB&S ; Conference date: 13-10-2024 Through 18-10-2024",

}

TY - CONF

T1 - Future of ship stability

AU - Angelou, Manolis

AU - Bačkalov, Igor

AU - Begovi´c, Ermina

AU - Cichowicz, Jakub

AU - Garme, Karl

AU - Leguen, Jean-François

AU - Míguez González,, Marcos

AU - Petacco, Nicola

AU - Rodríguez, Claudio A.

AU - Ruponen, Pekka

AU - Schreuder, Martin

AU - Themelis, Nikos

N1 - Conference code: 2

PY - 2024

Y1 - 2024

N2 - The paper discusses the future of ship stability as a scientific and engineering discipline, in view of the possibilities for making progress in the “conventional” ship stability topics by employing advanced numerical tools (such as CFD), artificial intelligence techniques (such as machine learning), high-performance computing, increased connectivity, and unprecedented availability of the stabilityrelevantdata. The paper also addresses the emerging ship stability issues prompted by energy transition and autonomous shipping, which are not in the focus of the maritime research community and, at the same time, lack adequate regulatory support. The present view of the evolution of ship stability is provided in the conclusions.

AB - The paper discusses the future of ship stability as a scientific and engineering discipline, in view of the possibilities for making progress in the “conventional” ship stability topics by employing advanced numerical tools (such as CFD), artificial intelligence techniques (such as machine learning), high-performance computing, increased connectivity, and unprecedented availability of the stabilityrelevantdata. The paper also addresses the emerging ship stability issues prompted by energy transition and autonomous shipping, which are not in the focus of the maritime research community and, at the same time, lack adequate regulatory support. The present view of the evolution of ship stability is provided in the conclusions.

KW - ship stability

KW - ship dynamics

KW - ship safety

KW - CFD

KW - machine learning

KW - artificial intelligence

KW - energy transition

KW - autonomous ships

KW - review

M3 - Paper

SP - 832

EP - 851

T2 - International Conference on the Stability and Safety of Ships and Ocean Vehicles

Y2 - 13 October 2024 through 18 October 2024

ER -

Future of ship stability

Abstrakti

Conference

YK:n kestävän kehityksen tavoitteet

Sormenjälki

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