Research on General Ocean Simulation Technology

Authors

Shunli Wang, 1. School of Marine Technology, Northwestern Ploytechnical University, Xi'an 710072, China; ;2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China;;
Fengju Kang, 1. School of Marine Technology, Northwestern Ploytechnical University, Xi'an 710072, China; ;2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China;;
Jianhua Xu, 1. School of Marine Technology, Northwestern Ploytechnical University, Xi'an 710072, China; ;2. National Key Laboratory of Underwater Information Process and Control, Xi'an 710072, China;;

Abstract

Abstract: In order to make the ocean wave simulation generalization, a generalization of the wave simulation method was put forward. In order to adapt to the deep and shallow wave simulation, the improvement based on the viewpoint of multi-resolution grid, adaptive depth wave grid model was given. In view of the diversity of wave model, the height map of a replaceable and combined of multiple wave model was generated. To speed up the simulation of the computing, the CUDA (Compute Unified Device Architecture) accelerated program was embedded in the simulation program, in the case of ocean model based on FFT, the acceleration effect was compared. The ocean scenes with different ocean models were given. The rendering results show that the proposed method suits different ocean models and can meet the requirements of real-time simulation.

Recommended Citation

Wang, Shunli; Kang, Fengju; and Xu, Jianhua (2020) "Research on General Ocean Simulation Technology," Journal of System Simulation: Vol. 29: Iss. 2, Article 20.
DOI: 10.16182/j.issn1004731x.joss.201702020
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/20

First Page

381

Revised Date

2016-08-24

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702020

Last Page

386

CLC

TP391.9

Recommended Citation

Wang Shunli, Kang Fengju, Xu Jianhua. Research on General Ocean Simulation Technology[J]. Journal of System Simulation, 2017, 29(2): 381-386.

DOI

10.16182/j.issn1004731x.joss.201702020