Future of Ship Stability
Paper i proceeding, 2024

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 stability-relevant 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.

machine learning

autonomous ships

energy transition

CFD

ship safety

review

ship stability

artificial intelligence

ship dynamics

Författare

Manolis Angelou

National Technical University of Athens (NTUA)

Igor Bačkalov

ENTWICKLUNGSZENTRUM FUR SCHIFFSTECHNIK UND TRANSPORTSYSTEME EV

Ermina Begović

Universita degli Studi di Napoli Federico II

Jakub Cichowicz

DNV Group Research and Development

Karl Garme

Kungliga Tekniska Högskolan (KTH)

Jean-François Leguen

Ministère de la Défense

Marcos Míguez González

Universidade da Coruña

Niccola Petacco

Università degli Studi di Genova

Pekka Ruponen

Napa Ltd

Martin Schreuder

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Nicos Themelis

Proc. of the 2nd Int. Conf. on the Stability and Safety of Ships and Ocean Vehicles

2nd Int. Conf. on the Stability and Safety of Ships and Ocean Vehicles
Wuxi, China,

Drivkrafter

Hållbar utveckling

Styrkeområden

Transport

Ämneskategorier (SSIF 2025)

Strömningsmekanik

Teknisk mekanik

Mer information

Senast uppdaterat

2026-09-21