In order to cope with the challenges of transportation, energy and food production, marine resources have become one of the important resources needed by human beings. With the continuous development of human beings, the demand for resources is increasingly strong, but the land resources are constantly decreasing, so it is imperative to develop the ocean. In order to solve the limitations of various technical applications in existing marine engineering,this paper discusses the multi-dimensional maximum entropy model symmetric function and the multi-dimensional probability model commonly used in ocean engineering. The parameter settings and data sets in the project are briefly introduced. In addition, the design and discussion of the multi-dimensional maximum entropy model and its model in marine engineering are carried out. Finally, the experimental analysis of the application of the multi-dimensional maximum entropy model in the ocean is carried out. The multi-dimensional maximum entropy model's test values for wave height, flow velocity and wind speed are in the range of the lowest 200 and the highest 217, so the multi-dimensional maximum entropy model and its application stability in marine engineering are verified.

Varun Verma. Multidimensional Maximum Entropy Model and Its Application in Ocean Engineering. Frontiers in Ocean Engineering (2022), Vol. 3, Issue 1: 49-56. https://doi.org/10.38007/FOE.2022.030107.

[1] Amin, Kazemian-Kale-Kale, Hossein, et al. The uncertainty of the Shannon entropy model for shear stress distribution in circular channels. International Journal of Sediment Research, 2020, v.35(01):61-72.https://doi.org/10.1016/j.ijsrc.2019.07.001

[2] Fernandez-Manso A , Quintano C , Roberts D A . Burn severity analysis in Mediterranean forests using maximum entropy model trained with EO-1 Hyperion and LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 155(SEP.):102-118. https://doi.org/10.1016/j.isprsjprs.2019.07.003

[3] Domps B , Dumas D , Guerin C A , et al. High-Frequency Radar Ocean Current Mapping at Rapid Scale With Autoregressive Modeling. IEEE Journal of Oceanic Engineering, 2021, 46(3):891-899. https://doi.org/10.1109/JOE.2020.3048507

[4] Sheikholeslami M , Ellahi R , Shafee A , et al. Numerical investigation for second law analysis of f errofluid inside a porous semi annulus: An application of entropy generation and exergy loss. International Journal of Numerical Methods for Heat & Fluid Flow, 2019, 29(3):1079-1102. https://doi.org/10.1108/HFF-10-2018-0606

[5] Achmad, Fachruddin, Syah, et al. Habitat Model Development of Bigeye tuna (Thunnus obesus) during Southeast Monsoon in the Eastern Indian Ocean using Satellite Remotely Sensed Data. IOP Conference Series: Earth and Environmental Science, 2019, 276(1):12011-12011. https://doi.org/10.1088/1755-1315/276/1/012011

[6] Hajar, Farhan, Ismael H , et al. Newly modified method and its application to the coupled Boussinesq equation in ocean engineering with its linear stability analysis. Communications in Theoretical Physics, 2020, v.72(11):13-20. https://doi.org/10.1088/1572-9494/aba25f

[7] Uffelen L , Miller J H , Potty G R . Underwater acoustics and ocean engineering at the University of Rhode Island. The Journal of the Acoustical Society of America, 2019, 145(3):1707-1707. https://doi.org/10.1121/1.5101260

[8] Jaulin L , Caiti A , Carreras M , et al. [Ocean Engineering & Oceanography] Marine Robotics and Applications Volume 10 || Fast Fourier-Based Block-Matching Algorithm for Sonar Tracks Registration in a Multiresolution Framework.  2018, 10.1007/978-3-319-70724-2(Chapter 1):1-14. https://doi.org/10.1007/978-3-319-70724-2_1

[9] Tozar A , Kurt A , Tasbozan O . New wave solutions of an integrable dispersive wave equation with a fractional time derivative arising in ocean engineering models. Kuwait Journal of Science, 2020, 47(2):22-33.

[10] Bjorkqvist J V , Lukas I , Alari V , et al. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 2018, 152(mar.15):57-71. https://doi.org/10.1016/j.oceaneng.2018.01.048

[11] Kim H J , Jang B S , Park C K , et al. Fatigue analysis of floating wind turbine support structure applying modified stress transfer function by artificial neural network. Ocean Engineering, 2018, 149(FEB.1):113-126. https://doi.org/10.1016/j.oceaneng.2017.12.009

[12] Hajar, Farhan, Ismael H , et al. Newly modified method and its application to the coupled Boussinesq equation in ocean engineering with its linear stability analysis. Communications in Theoretical Physics, 2020, v.72(11):13-20. https://doi.org/10.1088/1572-9494/aba25f

[13] Uffelen L , Miller J H , Potty G R . Underwater acoustics and ocean engineering at the University of Rhode Island. The Journal of the Acoustical Society of America, 2019, 145(3):1707-1707. https://doi.org/10.1121/1.5101260

[14] Jaulin L , Caiti A , Carreras M , et al. [Ocean Engineering & Oceanography] Marine Robotics and Applications Volume 10 || Evolutionary Dynamic Reconfiguration of AUVs for Underwater Maintenance.  2018, 10.1007/978-3-319-70724-2(Chapter 9):137-178. https://doi.org/10.1007/978-3-319-70724-2_9

[15] Chandrasekaran, Srinivasan. [Ocean Engineering & Oceanography] Dynamic Analysis and Design of Offshore Structures Volume 9 || Applications in Preliminary Analysis and Design.  2018, 10.1007/978-981-10-6089-2(Chapter 7):359-410. https://doi.org/10.1007/978-981-10-6089-2_7

[16] Tozar A , Kurt A , Tasbozan O . New wave solutions of an integrable dispersive wave equation with a fractional time derivative arising in ocean engineering models. Kuwait Journal of Science, 2020, 47(2):22-33.

[17] Bjorkqvist J V , Lukas I , Alari V , et al. Comparing a 41-year model hindcast with decades of wave measurements from the Baltic Sea. Ocean Engineering, 2018, 152(mar.15):57-71. https://doi.org/10.1016/j.oceaneng.2018.01.048

[18] Tanvir S , Bruce C , David M . Experimental and numerical investigation of wave induced forces and motions of partially submerged bodies near a fixed structure in irregular waves. Ocean Engineering, 2018, 163(SEP.1):451-475. https://doi.org/10.1016/j.oceaneng.2018.06.020