船舶与海洋工程系
电子邮件：fang.li@sjtu.edu.cn
通讯地址：木兰船建大楼B517
李放，副教授，博士生导师，国家级青年人才
聚焦极地船海工程领域，应用先进的数据科学与力学方法，提升极地船舶、海洋平台等结构物的性能和安全性
2022.09 至今 ：上海交通大学，长聘教轨副教授，博士生导师
2020.12 - 2022.09 ：[芬兰]阿尔托大学，博士后研究员
2022.06 - 2022.07 ：[英国]伦敦大学学院，访问学者
2016.12 - 2020.11 ：[芬兰]阿尔托大学，工学博士
2014.08 - 2016.09 ：[挪威]挪威科技大学 & [芬兰]阿尔托大学，工学硕士（双学位）
2010.09 - 2014.06 ：大连理工大学，工学学士
课题组长期招聘硕士生、博士生以及博士后。欢迎对极地探索怀有热情的学生加入课题组！
聚焦极地船舶与海洋工程，主要方向包括：
数据驱动的极地船海结构物性能与安全性研究
海冰力学与冰载荷理论
极地船舶航行性能理论研究
极地航行策略与航线规划
船舶力学学委会极地环境与装备学组委员
中国海洋学会海冰专业委员会青年委员
中国造船工程学会青年委员
第三届全国海洋科技名词编写委员会分委会委员
《水道港口》期刊青年编委会委员
国际海洋、离岸及极地工程大会(OMAE2018）极地分会主席（2018、2023-2024）
SCI期刊客座编辑：Water（2023-2025），Journal of Marine Science and Engineering（2021，2023）
Marine Structures、Ocean Engineering等十余个国际SCI期刊审稿人
国家级青年人才项目，极地船舶性能与冰载荷研究，主持
国家自然科学基金青年基金，浮冰海域船体结构冰载荷随机特性研究，主持
中船-交大前瞻基金重点项目，冰水桨耦合破冰船连续破冰工况性能数值模拟与冰激振动噪声预报方法研究，主持
上海市科委启明星扬帆专项，极地商船破冰性能研究，主持
上海交通大学“双一流”建设项目人才科研启动项目，主持
欧盟/俄罗斯，跨边境合作项目，芬兰-俄罗斯边境内河航运未来发展(INFUTURE)项目子课题，主持
主持其他横向科研项目3项，参与多个欧盟、芬兰科学院、英国劳氏基金会项目
国际期刊论文
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.
发表国际会议论文、专著等30余篇（部）
《船舶与海洋工程结构设计》，授课对象：本科生
《极地船海工程冰力学》，授课对象：研究生
国家级青年人才
上海海外高层次人才
上海市青年科技英才（扬帆计划）
上海交通大学“小米青年学者”
国家优秀自费留学生
