Universiteit Gent; Faculteit Ingenieurswetenschappen; Vakgroep Civiele Techniek; Afdeling Maritieme Techniek, meer
|
| A1 publicaties (5) [show] |
- Mei, L.; Liu, Y.; Ruiz, T.; Lataire, E.; Vantorre, M.; Chen, Y.; Zou, J. (2021). A hybrid method for predicting ship maneuverability in regular waves. J. Offshore Mech. Arct. Eng. 143(2): 021203. https://hdl.handle.net/10.1115/1.4048156, meer
 Mei, T.; Candries, M.; Lataire, E.; Zou, Z. (2020). Numerical study on hydrodynamics of ships with forward speed based on nonlinear steady wave. J. Mar. Sci. Eng. 8(2): 106. https://hdl.handle.net/10.3390/jmse8020106, meer- Mei, T.-L.; Zhang, T.; Candries, M.; Lataire, E.; Zou, Z.-J. (2020). Comparative study on ship motions in waves based on two time domain boundary element methods. Engineering Analysis With Boundary Elements 111: 9-21. https://hdl.handle.net/10.1016/j.enganabound.2019.10.013, meer
- Chen, C.; Tello Ruiz, M.Á.; Delefortrie, G.; Mei, T.; Vantorre, M.; Lataire, E. (2019). Parameter estimation for a ship's roll response model in shallow water using an intelligent machine learning method. Ocean Eng. 191: 106479. https://dx.doi.org/10.1016/j.oceaneng.2019.106479, meer
- Mei, T.-L.; Delefortrie, G.; Tello Ruiz, M.Á.; Lataire, E.; Vantorre, M.; Chen, C.; Zou, Z.-J. (2019). Numerical and experimental study on the wave-body interaction problem with the effects of forward speed and finite water depth in regular waves. Ocean Eng. 192: 106366. https://dx.doi.org/10.1016/j.oceaneng.2019.106366, meer
|
| Boekhoofdstukken (4) [show] |
- Chen, C.; Tello Ruiz, M.; Delefortrie, G.; Mansuy, M.; Mei, T.; Vantorre, M. (2019). Ship manoeuvring model parameter identification using intelligent machine learning method and the beetle antennae search algorithm, in: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7B: Ocean Engineering. pp. [1-9]. https://dx.doi.org/10.1115/OMAE2019-95565, meer
- Chen, C.; Tello Ruiz, M.Á.; Delefortrie, G.; Mei, T.; Lataire, E.; Vantorre, M. (2019). Parameter estimation for a ship’s roll response model in shallow water using an intelligent machine learning method, in: Candries, M. et al. 5th MASHCON International Conference on Ship Manoeuvring in Shallow and Confined Water with non-exclusive focus on manoeuvring in waves, wind and current, 19 - 23 May 2019, Ostend, Belgium. pp. 51-59, meer
- Mei, T.; Delefortrie, G.; Tello Ruiz, M.Á.; Chen, C.; Lataire, E.; Vantorre, M.; Zou, Z. (2019). Numerical and experimental study on the wave-body interaction problem with the effect of forward speed and finite water depth in regular waves, in: Candries, M. et al. 5th MASHCON International Conference on Ship Manoeuvring in Shallow and Confined Water with non-exclusive focus on manoeuvring in waves, wind and current, 19 - 23 May 2019, Ostend, Belgium. pp. 286-295, meer
- Mei, T.; Liu, Y.; Tello Ruiz, M.Á.; Vantorre, M.; Lataire, E.; Chen, C.; Zou, Z. (2019). A hybrid method for predicting ship maneuverability in regular waves, in: ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering - Volume 7B: Ocean Engineering. pp. 9. https://hdl.handle.net/10.1115/OMAE2019-95249, meer
|
|
