Martin Alexandersson

Doctoral Student at Marine Technology

Source: chalmers.se
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Showing 8 publications

2024

System identification of a physics-informed ship model for better predictions in wind conditions

Martin Alexandersson, Wengang Mao, Jonas Ringsberg et al
Ocean Engineering. Vol. 310 (1)
Journal article
2023

A machine learning based Bayesian decision support system for efficient navigation of double-ended ferries

Daniel Vergara, Martin Alexandersson, Xiao Lang et al
Journal of Ocean Engineering and Science. Vol. In Press
Journal article
2023

A comparison of ship manoeuvrability models to approximate ship navigation trajectories

Martin Alexandersson, Zhang Daiyong, Wengang Mao et al
Ships and Offshore Structures. Vol. 18 (4), p. 550-557
Journal article
2023

Power allocation influence on energy consumption of a double-ended ferry

Daniel Vergara, Martin Alexandersson, Xiao Lang et al
Proceedings of the International Offshore and Polar Engineering Conference
Paper in proceeding
2022

Rigid Body Ship Dynamics

Martin Alexandersson
Licentiate thesis
2022

System identification of Vessel Manoeuvring Models

Martin Alexandersson, Wengang Mao, Jonas Ringsberg
Ocean Engineering. Vol. 266 (1), p. 1-17
Journal article
2021

Prediction of roll motion using fully nonlinear potential flow and Ikeda’s method

Martin Alexandersson, Martin Kjellberg, Wengang Mao et al
Proceedings of the International Offshore and Polar Engineering Conference, p. 1670-1679
Paper in proceeding
2021

Analysis of roll damping model scale data

Martin Alexandersson, Wengang Mao, Jonas Ringsberg
Ships and Offshore Structures. Vol. 16 (S1), p. 85-92
Journal article

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Showing 1 research projects

2020–2024

DEMOPS - Machine learning based speed-power performance modelling to reduce fuel cost and emissions from shipping

Wengang Mao Marine Technology
Martin Alexandersson Mechanics and Maritime Sciences (M2)
Swedish Transport Administration
Lighthouse

5 publications exist
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