师资队伍

教师名录

李放

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

2022.09 至今          :上海交通大学,长聘教轨副教授

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


欢迎对极地探索怀有热情、对极地船海工程感兴趣的学生加入课题组!

聚焦极地船舶与海洋工程,主要方向包括:

  1. 冰力学:实地冰力学特性测量、海冰破碎过程模拟等

  2. 冰对结构载荷:冰载荷理论和概率预报方法、实测冰载荷分析等

  3. 极地船舶性能:阻力和操纵性预报、船舶破冰数值模拟、船模实验等

  4. 极地航行:航行策略、航线规划等


SCI期刊客座编辑:Water(2023),Journal of Marine Science and Engineering(2021)

2018年国际海洋、离岸及极地工程大会(OMAE2018)极地分会主席

Marine StructuresOcean Engineering等十余个国际SCI期刊审稿人

英国克兰菲尔德大学“Structural Integrity”硕士课程客座讲师


上海交通大学“双一流”建设项目人才科研启动项目

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),主持项目子课题

参与多个欧盟、芬兰科学院、英国劳氏船级社项目


国际期刊论文

[1] 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.

[2] 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

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

[4] 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.

[5] 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.

[6] 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.

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

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

[9] 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.

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

[11] 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.

[12] 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.

[13] 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.

[14] 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.

[15] 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.

[16] 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.

[17] 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.




上海海外高层次人才

2020年度国家优秀自费留学生

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