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Citation:
 Xiaolei Liu,Hongli Yin,Boyu Han,et al.Artificial Boundary Condition Processing Technique for Phased-Resolved Wave Surface Reconstruction[J].Journal of Marine Science and Application,2024,(1):101-112.[doi:10.1007/s11804-024-00392-8]
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Artificial Boundary Condition Processing Technique for Phased-Resolved Wave Surface Reconstruction

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Title:
Artificial Boundary Condition Processing Technique for Phased-Resolved Wave Surface Reconstruction
Author(s):
Xiaolei Liu1 Hongli Yin2 Boyu Han2 Xuewen Ma23 Yunchi Zhang2
Affilations:
Author(s):
Xiaolei Liu1 Hongli Yin2 Boyu Han2 Xuewen Ma23 Yunchi Zhang2
1 College of Economics and Management, Harbin Engineering University, Harbin 150000, China
2 College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150000, China
3 Qingdao Innovation and Development Center of Harbin Engineering University, Qingdao 266000, China
Keywords:
Coherent radar|Wave velocity field|Artificial boundary matrix|Wave surface reconstruction|Calculation stability
分类号:
-
DOI:
10.1007/s11804-024-00392-8
Abstract:
At present, the measurement of the near wave field of ships mostly relies on shipborne radar. The commonly used shipborne radar is incoherent and cannot obtain information on wave surface velocity. Therefore, the mathematical model of wave reconstruction is remarkably complex. As a new type of radar, coherent radar can obtain the radial velocity of the wave surface. Most wave surface reconstruction methods that use wave velocity are currently based on velocity potential. The difficulty of these methods lies in determining the initial value of the velocity integral. This paper proposes a wave surface reconstruction method based on an artificial boundary matrix. Numerical simulation data of regular and short-crest waves are used to verify the accuracy of this method. Simultaneously, the reconstruction stability under different wave velocity measurement errors is analyzed. The calculation results show that the proposed method can effectively realize the reconstruction of wave field.

References:

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Memo

Memo:
Received date:2022-10-04;Accepted date:2023-10-08。
Foundation item:Supported by the National Natural Science Foundation of China under Grant No. 51809066.
Corresponding author:Xuewen Ma, E-mail: maxuewen@hrbeu.edu.cn
Last Update: 2024-03-19