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Research on adaptive step size algorithm of marine streamline controlled by information entropy
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Zhongwei Li1, Fangtao Jiao1, Yong Li1, *, Wei Zeng1, Jungang Yang2, Wei Cui2
Haiyang Xuebao | 2024, 46(12) : 100 - 110
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Haiyang Xuebao | 2024, 46(12): 100-110
Article
Research on adaptive step size algorithm of marine streamline controlled by information entropy
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Zhongwei Li1, Fangtao Jiao1, Yong Li1, *, Wei Zeng1, Jungang Yang2, Wei Cui2
Affiliations
  • 1. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
  • 2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Published: 2024-12-31 doi: 10.12284/hyxb2024115
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The streamline construction and placement of the marine flow field is of great significance for recognizing and understanding the marine flow field. In the process of streamline drawing, the selection of integration step is very important, which can directly affect the effect of streamline placement. The fixed step size algorithm is often not used because it cannot adapt to the changing curvature. The previous adaptive step size streamline algorithm has the problems of low degree of freedom and poor multi-scale applicability. In view of the above problems, this paper introduces information entropy into the step size calculation for the first time, and proposes an adaptive step size algorithm of marine streamline controlled by information entropy. Firstly, the entropy field is obtained by calculating the information entropy of the flow field, and then the flow field is divided into high entropy region and low entropy region according to the entropy value, and each integration point is given a new step size, so that the flow field can adaptively adjust the step size according to the intensity of change, that is, the step size of the high entropy region (the region with sharp change) is smaller, and the step size of the low entropy region (the region with gentle change) is larger. The experimental results show that the proposed algorithm can significantly increase the number of integration points and streamlines in the rapidly changing region, better draw the details of the streamline at the feature, and reduce the number of integration points and streamlines in the unimportant region without affecting the placement effect to improve the computational efficiency. Compared with the previous adaptive step size algorithm, the proposed algorithm significantly improves the degree of freedom of step size adjustment and the scale applicability, and can be applied to different scales of marine flow field.

ocean flow field  /  information entropy  /  adaptive step size  /  streamline placement  /  numerical integration
Zhongwei Li, Fangtao Jiao, Yong Li, Wei Zeng, Jungang Yang, Wei Cui. Research on adaptive step size algorithm of marine streamline controlled by information entropy[J]. Haiyang Xuebao, 2024 , 46 (12) : 100 -110 . DOI: 10.12284/hyxb2024115
Year 2024 volume 46 Issue 12
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Article Info
doi: 10.12284/hyxb2024115
  • Receive Date:2024-07-16
  • Online Date:2025-11-27
  • Published:2024-12-31
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  • Received:2024-07-16
  • Revised:2024-10-08
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    1. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China
    2. First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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