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Da Wu
Da Wu
Verified email at whut.edu.cn
Title
Cited by
Cited by
Year
A review of ship fuel consumption models
A Fan, J Yang, L Yang, D Wu, N Vladimir
Ocean engineering 264, 112405, 2022
652022
Comparison of supervised machine learning methods to predict ship propulsion power at sea
X Lang, D Wu, W Mao
Ocean Engineering 245, 110387, 2022
452022
A two-stage path planning algorithm based on rapid-exploring random tree for ships navigating in multi-obstacle water areas considering colregs
J Zhang, H Zhang, J Liu, D Wu, CG Soares
Journal of Marine Science and Engineering 10 (10), 1441, 2022
132022
A shell model for resin flow and preform deformation in thin-walled composite manufacturing processes
D Wu, R Larsson
International Journal of Material Forming 13 (6), 923-937, 2020
112020
Modeling and experimental validation of the VARTM process for thin-walled preforms
D Wu, R Larsson, MS Rouhi
Polymers 11 (12), 2003, 2019
82019
Physics-informed machine learning models for ship speed prediction
X Lang, D Wu, W Mao
Expert Systems with Applications 238, 121877, 2024
62024
A preform deformation and resin flow coupled model including the cure kinetics and chemo-rheology for the VARTM process
D Wu, R Larsson, B Blinzler
International Journal of Material Forming 14, 421-434, 2021
62021
Homogenized free surface flow in porous media for wet‐out processing
D Wu, R Larsson
International Journal for Numerical Methods in Engineering 115 (4), 445-461, 2018
62018
Statistical modeling of Arctic sea ice concentrations for Northern Sea Route shipping
D Wu, W Tian, X Lang, W Mao, J Zhang
Applied Sciences 13 (7), 4374, 2023
52023
The Model of Ship Navigation Risk Field for Risk Assessment of Icebreaker Convoy Operations
D Zhang, J Han, D Wu, W Mao
IEEE Transactions on Intelligent Transportation Systems, 2023
42023
A novel method for the evaluation of ship berthing risk using AIS data
B Lin, M Zheng, X Chu, M Zhang, W Mao, D Wu
Ocean Engineering 293, 116595, 2024
32024
Uncertainties of Crack Propagation Analysis in Ship Structures
W Mao, J Yue, D Wu, L De Gracia, N Osawa
International Conference on Offshore Mechanics and Arctic Engineering 49941 …, 2016
32016
A novel path planning algorithm for ships in dynamic current environments
Z Song, J Zhang, D Wu, W Tian
Ocean Engineering 288, 116091, 2023
22023
A statistical analysis of the maritime accidents in 2015-2020 in China waters
H Jiang, J Zhang, D Wu, W Tian
2023 7th International Conference on Transportation Information and Safety …, 2023
12023
An artificial potential field model for the risk assessment of icebreaker escort operations
J Han, D Zhang, D Wu, W Mao
ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-22-307, 2022
12022
Review of ship navigation safety in ice-covered waters
W Mao, J Han, D Zhang, C Zhang, D Wu, W Cao
2021 6th International Conference on Transportation Information and Safety …, 2021
12021
Benchmark Study of Supervised Machine Learning Methods for a Ship Speed-Power Prediction at Sea
X Lang, D Wu, W Mao
International Conference on Offshore Mechanics and Arctic Engineering 85161 …, 2021
12021
Modeling and experimental validation of the vartm process
D Wu, R Larsson, MS Rouhi
International Conference on Composite Materials (22nd: 2019: Melboune, VIC …, 2019
12019
A spectral fatigue assessment framework for floating offshore wind turbines
W Mao, B Nembach, W Tian, D Wu
Ships and Offshore Structures, 1-10, 2024
2024
Fatigue Assessment Comparison between a Ship Motion-Based Data-Driven Model and a Direct Fatigue Calculation Method
X Lang, D Wu, W Tian, C Zhang, JW Ringsberg, W Mao
Journal of Marine Science and Engineering 11 (12), 2269, 2023
2023
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