Meritekniikka ja arktinen tekniikka
Ryhmämme tutkimus keskittyy laivojen ja rakenteiden toimintaan sekä tavallisissa että ääriolosuhteissa. Tutkimuksemme pohjautuu merikuljetusten turvallisuuteen sekä meriympäristön risteilyalusten matkustajille tarjoamiin kokemuksiin.
Viimeisimmät julkaisumme
Gaussian process latent variable model and Bayesian inference for non-parametric failure modeling applied to ship engine
Ahmad BahooToroody, Mohammad Mahdi Abaei, Enrico Zio, Floris Goerlandt, Meriam Chaal
2026
Reliability Engineering and System Safety
Data-driven surface reconstruction for assessing welding-induced distortions in ship-deck panels
Matti Christmann, Federica Mancini, Heikki Remes
2026
Marine Structures: Design, Construction & Safety
Advanced framework for risk coupling analysis applied to ship groundings in Shenzhen port
Cunlong Fan, Yuhui Qiu, Jakub Montewka, Victor Bolbot, Shenping Hu
2026
Reliability Engineering and System Safety
Identifying critical risk influencing factors for autonomous ship navigation in winter conditions
Raheleh Farokhi, Sunil Basnet, Osiris Valdez Banda
2026
Discover Sustainability
Evaluating numerical simulation accuracy for full-scale high-strength steel ship structures : Insights from the ISSC 2025 Ultimate Strength Committee benchmark on transversely stiffened panels
Marco Gaiotti, Lars Brubak, Bai Qiao Chen, Ionel Darie, Dimitris Georgiadis, Daisuke Shiomitsu, Mihkel Kõrgesaar, Yining Lv, Ken Nahshon, Marcelo Paredes, Jani Romanoff, Ingrid Schipperen, Akira Tatsumi, Murilo Vaz, Yikun Wang, Albert Zamarin, Zhihu Zhan, Jonas W. Ringsberg
2026
Marine Structures: Design, Construction & Safety
Ice loads in ship-ice glancing impacts : Experimental investigation and validation of energy-based predictions
Zongyu Jiang, Pentti Kujala, Spyros Hirdaris, Pauli Lehto, Henrik Toikka, Mikko Suominen
2026
Cold Regions Science and Technology
A hierarchical Bayesian approach for the modelling of ice force peaks on ship hull considering ice Thickness, concentration and floe size
Boyang Jiao, Liangliang Lu, Fang Li, Pentti Kujala
2026
Advanced Engineering Informatics
Principles of Ship Design for Polar and Ice Conditions
Pentti Kujala, Fang Li, Mikko Suominen, Li Zhou
2026
A Stacking-Based Ensemble Learning Model for Intelligent Ship Trajectory Interpolation
Yuejin Li, Shaoqing Guo, Pengfei Chen, Linying Chen, Junmin Mou
2026
Reliability Engineering and System Safety
A deep learning method to predict ship short-term trajectory for proactive maritime traffic management
Quandang Ma, Zhouyu Lian, Xu Du, Yuting Jiang, Ahmad BahooToroody, Mingyang Zhang
2026
Reliability Engineering and System Safety
