Li Fang

Naval Architecture and Ocean Engineering

Email: fang.li@sjtu.edu.cn

Address: No.800 Dongchuan Road

Home page: https://www.researchgate.net/profile/Fang-Li-46?ev=hdr_xprf

  • Biography

    I joint Shanghai Jiao Tong University as an associated professor in 2022. Before that I was an postdoctoral researcher at Aalto University in Finland for two years. I receive my D.Sc. degree from Aalto University, joint M.Sc. degree from Norwegian University of Science and Technology & Aalto University, and B.Eng degree from Dalian University of Technology. 

  • Research Interests

    My research focuses on polar marine technology including ice mechanics, ice loading on marine structures, polar ship design and polar shipping. The goal of my research is to enhance safety and efficiency in marine operation under extreme harsh conditions in the polar regions, using mechanics, experiments and advance data analytics.

  • Academic Services

    Guest editor of journals JMSE and Water (2019-now)

    Session chair of OMAE conference (multiple times since 2018)

    Committee member of the polar engineering committee under CSNAME.

    Committee member of the sea ice committee under China Society for Oceanography.

    Committee member of the polar shipping committee under China Institution of Navigation.

  • Selected Publications

    Jiang, Z., Kujala, P., Hirdaris, S., Li, F., Mikkola, T., & Suominen, M. (2024). The influence of waves and hydrodynamic interaction on energy-based evaluation of ice loads during a glancing impact in sea states. Ocean Engineering, 310, 118719.

    Ma, Q., Cui, M., Li, F., Zhou, L., & Ding, S. (2024). Towards automatic identification of ship-ice contact using acceleration measurement. Ocean Engineering, 306, 118038.

    Li, F., Chen, J., Zhou, L., & Kujala, P. (2024). Investigation of ice wedge bearing capacity based on an anisotropic beam analogy. Ocean Engineering, 302, 117611.

    Li, F., Lu, L., Puolakka, O., & Kujala, P. (2024). Ice channel breakout performance of a double-acting vessel. Ocean Engineering, 293, 116657.

    Kulkarni, K., Li, F., Kondratenko, A. A., & Kujala, P. (2024). A voyage-level ship performance modelling approach for the simulation of the Finnish-Swedish winter navigation system. Ocean Engineering, 295, 116997.

    Jiang, Z., Li, F., Tavakoli, S., Kujala, P., Suominen, M., & Hirdaris, S. (2024). A viscous investigation on the hydrodynamic coefficients and wave loads under the interaction of side-by-side cylinders in regular waves. Ocean Engineering, 297, 117156.

    Ding, S., Zeng, D., Zhou, L., Han, S., Li, F., & Wang, Q. (2023). Multi-Scale Polar Object Detection Based on Computer Vision. Water, 15(19), 3431.

    Kondratenko, A. A., Kulkarni, K., Li, F., Musharraf, M., Hirdaris, S., & Kujala, P. (2023). Decarbonizing shipping in ice by intelligent icebreaking assistance: A case study of the Finnish-Swedish winter navigation system. Ocean Engineering, 286, 115652.

    Jiang, Z., Li, F., Mikkola, T., Kujala, P., & Hirdaris, S. (2023). A Boundary Element Method for the Prediction of Hydrodynamic Ship–Ice–Wave Interactions in Regular Waves. Journal of Offshore Mechanics and Arctic Engineering, 145(6), 061601.

    Liu, C., Musharraf, M., Li, F., & Kujala, P. (2022). A data mining method for automatic identification and analysis of icebreaker assistance operation in ice-covered waters. Ocean Engineering, 266, 112914.

    Huang, L., Li, F., Li, M., Khojasteh, D., Luo, Z., & Kujala, P. (2022). An investigation on the speed dependence of ice resistance using an advanced CFD+ DEM approach based on pre-sawn ice tests. Ocean Engineering

    Li, F., & Huang, L. (2022). A review of computational simulation methods for a ship advancing in broken ice. Journal of Marine Science and Engineering.

    Tarovik, O., Yakimov, V., Dobrodeev, A., & Li, F. (2022). Influence of seasonal and regional variation of ice properties on ship performance in the Arctic. Ocean Engineering.

    Li, F., Lu, L., Suominen, M., & Kujala, P. (2021) Short-term statistics of ice loads on ship bow frames in floe ice fields: full-scale measurements in the Antarctic ocean. Marine Structures.

    Li, F., Suominen, M., Lu, L., & Kujala, P., Taylor, R. (2021). A probabilistic method for long-term estimation of ice loads on ship hull. Structural Safety.

    Li, F., Suominen, M., & Kujala, P. (2021). Ship performance in narrow ice channel: model-scale test and numerical investigation. Ocean Engineering.

    Bergström, M., Li, F., Suominen, M., Kujala, P. (2021). A goal-based approach for selecting a ship's polar class. Marine Structures.

    Li, F., Kõrgesaar, M., Kujala, P., Goerlandt, F. (2020). Finite Element based meta-modeling of ship-ice interaction at shoulder and midship areas for ship performance simulation. Marine Structures.

    Li, F., Goerlandt, F., & Kujala, P. (2020). Numerical simulation of ship performance in level ice: A framework and a model. Applied Ocean Research.

    Shamaei, F., Bergström, M., Li, F., Kujala, P., & Taylor, R. (2020). Shamaei F, Bergström M, Li F, Taylor R, Kujala P. Local pressures for ships in ice: Probabilistic analysis of full-scale line-load data. Marine Structures.

    Xu, Y., Kujala, P., Hu, Z., Li, F., & Chen, G. (2020). Numerical simulation of level ice impact on landing craft bow considering the transverse isotropy of Baltic Sea ice based on XFEM. Marine Structures.

    Suominen, M., Li, F., Lu, L., Kujala, P., Bekker, A., & Lehtiranta, J. (2020). Effect of Maneuvering on Ice-Induced Loading on Ship Hull: Dedicated Full-Scale Tests in the Baltic Sea. Journal of Marine Science and Engineering.

    Li, F., Kotilainen, M., Goerlandt, F., & Kujala, P. (2019). An extended ice failure model to improve the fidelity of icebreaking pattern in numerical simulation of ship performance in level ice. Ocean Engineering.

    Milaković, A. S., Li, F., von Bock und Polach, R. U. F., & Ehlers, S. (2019). Equivalent ice thickness in ship ice transit simulations: overview of existing definitions and proposition of an improved one. Ship Technology Research.

    Milaković, A. S., Li, F., Marouf, M., & Ehlers, S. (2019). A machine learning-based method for simulation of ship speed profile in a complex ice field. Ship and Offshore Structures.

    Li, F., Goerlandt, F., Kujala, P., Lehtiranta, J., & Lensu, M. (2018). Evaluation of selected state-of-the-art methods for ship transit simulation in various ice conditions based on full-scale measurement. Cold Regions Science and Technology.



  • Teaching

    Undergraduate course: Ship and Offshore Structure Design

    Postgraduate course: Ice load on Marine Structures

    • Phone:86-21-34206196/34205291

    • E-mail:oceglobal@sjtu.edu.cn;

    •               oce@sjtu.edu.cn

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