A review of ship fuel consumption models A Fan, J Yang, L Yang, D Wu, N Vladimir Ocean engineering 264, 112405, 2022 | 67 | 2022 |
Comparison of supervised machine learning methods to predict ship propulsion power at sea X Lang, D Wu, W Mao Ocean Engineering 245, 110387, 2022 | 45 | 2022 |
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 | 16 | 2022 |
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 | 11 | 2020 |
Modeling and experimental validation of the VARTM process for thin-walled preforms D Wu, R Larsson, MS Rouhi Polymers 11 (12), 2003, 2019 | 8 | 2019 |
Physics-informed machine learning models for ship speed prediction X Lang, D Wu, W Mao Expert Systems with Applications 238, 121877, 2024 | 7 | 2024 |
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 | 7 | 2021 |
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 | 6 | 2018 |
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 | 5 | 2023 |
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 | 4 | 2023 |
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 | 3 | 2024 |
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 | 3 | 2016 |
A novel path planning algorithm for ships in dynamic current environments Z Song, J Zhang, D Wu, W Tian Ocean Engineering 288, 116091, 2023 | 2 | 2023 |
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 | 1 | 2023 |
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 | 1 | 2023 |
Data-driven ship fatigue assessment based on pitch and heave motions X Lang, JW Ringsberg, W Mao, D Wu, C Zhang Advances in the Analysis and Design of Marine Structures, 95-103, 2023 | 1 | 2023 |
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 | 1 | 2022 |
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 | 1 | 2021 |
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 | 1 | 2021 |
Modeling and experimental validation of the vartm process D Wu, R Larsson, MS Rouhi International Conference on Composite Materials (22nd: 2019: Melboune, VIC …, 2019 | 1 | 2019 |