Pentti Kujala

Pentti Kujala

Senior Advisor
T212 Mechanical Engineering
Senior Advisor

I am a professor emeritus of Marine technology. I have been working on the safety of ships both in open water and in ice. My main research interests during my  40- year long career have been devoted to full scale measurements of ice induced loads and analysis of the ice load statistics, simulation of ship performance in ice, development of advanced structural solutions for ships and development of system level safety of marine traffic.

I have also been Vice Dean of the School of Engineering with the main duties related to the Impact and Innovation activities of the School. I have extensive national and international co-operation heading e.g. the Center of Excellence for safe Arctic shipping funded by Lloyd’s Register Foundation from London (http://cearctic.aalto.fi/en/)

Resarch Group: Marine Technology: http://mecheng.aalto.fi/en/research/marine_technology/

List of publications and other research outputs: https://research.aalto.fi/en/persons/pentti-kujala(0d29001d-377a-499f-be1f-e2a1808939bc)/publications.html

Background

Before Aalto, I have been working e..g on Lloyd's Register of Shipping in London, VTT and Aker Yards.

Full researcher profile
https://research.aalto.fi/...

Kontakuppgifter

Telefonnummer
+358400878145

Utmärkelser

EU-Transportation Research Award 2020

Best senior researcher in the Waterborne sector: Improving the safety of ships operating in ice-covered waters
Award or honor granted for academic or artistic career Department of Mechanical Engineering Sep 2020

Aalto Education Impact Award, 2018

Aalto Education Impact Award, 2018 on Contribution to Establishment of Marine technology study program to network University Finnish Institute of technology
Award or honor granted for a specific work Marine Technology Sep 2018

Honorary Fellowship of TRANSNAV congress

Since 2015
Award or honor granted for academic or artistic career Department of Mechanical Engineering Jan 2015

Forskningsgrupp

  • Marine and Arctic Technology, Senior Advisor

Publikationer

A Ship Digital Twin for Safe and Sustainable Ship Operations

Spyros Hirdaris, Mingyang Zhang, Nikolaos Tsoulakos, Pentti Kujala 2024 State-of-the-Art Digital Twin Applications for Shipping Sector Decarbonization

A viscous investigation on the hydrodynamic coefficients and wave loads under the interaction of side-by-side cylinders in regular waves

Zongyu Jiang, Fang Li, Sasan Tavakoli, Pentti Kujala, Mikko Suominen, Spyros Hirdaris 2024 Ocean Engineering

Application of Digital Twins in the Design of New Green Transport Vessels

Austin A. Kana, Aleksandr Kondratenko, Wenzhu Li, Pentti Kujala, Isabel van Noesel, Spyros Hirdaris, Yusong Pang 2024 State-of-the-Art Digital Twin Applications for Shipping Sector Decarbonization

A voyage-level ship performance modelling approach for the simulation of the Finnish-Swedish winter navigation system

Ketki Kulkarni, Fang Li, Aleksander A. Kondratenko, Pentti Kujala 2024 Ocean Engineering

Ice channel breakout performance of a double-acting vessel

Fang Li, Liangliang Lu, Otto Puolakka, Pentti Kujala 2024 Ocean Engineering

Investigation of ice wedge bearing capacity based on an anisotropic beam analogy

Fang Li, Jiyuan Chen, Li Zhou, Pentti Kujala 2024 Ocean Engineering

Comparison of a simplified FSI models for the rapid evaluation of accidental loads following ship hard grounding

Ghalib Taimuri, Herve Le Sourne, Jean-Philippe Pineau, Tommi Mikkola, Sang Jin Kim, Pentti Kujala, Spyros Hirdaris 2024 Advances in the Collision and Grounding of Ships and Offshore Structures - Proceedings of the 9th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2023

Structural health monitoring on offshore jacket platforms using a novel ensemble deep learning model

Mengmeng Wang, Atilla Incecik, Zhe Tian, Mingyang Zhang, Pentti Kujala, Munish Gupta, Grzegorz Krolczyk, Zhixiong Li 2024 Ocean Engineering

A deep learning method for the prediction of ship fuel consumption in real operational conditions

Mingyang Zhang, Nikolaos Tsoulakos, Pentti Kujala, Spyros Hirdaris 2024 Engineering Applications of Artificial Intelligence

A machine learning method for the evaluation of probabilistic grounding risk reflecting ship motion uncertainties

Mingyang Zhang, Pentti Kujala, Spyros Hirdaris 2024 Advances in the Collision and Grounding of Ships and Offshore Structures - Proceedings of the 9th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2023