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Publications by Meng Zhang

Peer reviewed

Articles

[1]
Y. Han et al., "Course stability analysis for towing system of a gravity-based structure in managed ice fields," Ships and Offshore Structures, vol. 18, no. 1, pp. 8-20, 2023.
[2]
[3]
M. Zhang et al., "Analysis of inland waterway ship performance in ice: Operation Time Window," Ocean Engineering, vol. 263, pp. 112409-112409, 2022.
[5]
M. Zhang et al., "A Numerical Ice Load Prediction Model Based on Ice-Hull Collision Mechanism," Applied Sciences, vol. 10, no. 2, 2020.
[6]
M. Zhang et al., "Ice Pressure Prediction Based on the Probabilistic Method for Ice-Going Vessels in Inland Waterways," Journal of Offshore Mechanics and Arctic Engineering-Transactions of The Asme, vol. 141, no. 2, 2018.

Conference papers

[7]
M. Zhang et al., "An Analytical Model for Ice Impact Load Prediction," in Proceedings of the International Offshore and Polar Engineering Conference, 2019, pp. 807-814.
[8]
H. Cheemakurthy et al., "Nonlinear Finite Element Analysis of Inland-Waterway Barge in Fresh Water Ice Conditions," in Proceedings of the Annual International Offshore and Polar Engineering Conference : Proceedings of The Twenty-ninth (2019) International OCEAN AND POLAR ENGINEERING CONFERENCE, 2019, pp. 799-806.
[9]
M. Zhang et al., "Ice pressure prediction based on the probabilistic method for ice-going vessels in inland waterways.," in Proceedings of the ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering (OMAE2018) : Volume 8., 2018.
[10]
H. Cheemakurthy et al., "Statistical estimation of uncertainties associated with ship operations in fresh water ice," in Proceedings of the International Offshore and Polar Engineering Conference, 2018, pp. 1608-1615.

Non-peer reviewed

Theses

[11]
M. Zhang, "Efficient hull design for ice conditions in inland waterways," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2022:36, 2022.
[12]
M. Zhang, "Ice load prediction for design of ice-going ships for inland waterways," Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2019:58, 2019.

Reports

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