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Fluid dynamics analysis and modeling based on complex network science
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Zi-hao WANG1, Da HUI2, Gui-yong ZHANG1, Tie-zhi SUN1, Chong-bin SHI1, Hua-kun HUANG3
Journal of Ship Mechanics | 2026, 30(8) : 1245 - 1254
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Journal of Ship Mechanics | 2026, 30(8): 1245-1254
• Hydrodynamics •
Fluid dynamics analysis and modeling based on complex network science
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Zi-hao WANG1, Da HUI2, Gui-yong ZHANG1, Tie-zhi SUN1, Chong-bin SHI1, Hua-kun HUANG3
Affiliations
  • 1Dalian University of Technology, State Key Laboratory of Structure Analysis, Optimization and CAE Software for Industrial Equipment, Dalian 116024, China
  • 2Navigation College, Dalian Maritime University, Dalian 116026, China
  • 3College of Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Published: 2026-08-15 doi: 10.3969/j.issn.1007-7294.2026.08.003
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In the field of ship and ocean engineering, fluid dynamics analysis plays a crucial role in the design and optimization of marine structures. With the development of big data technologies, data-driven methods have gradually become mainstream in fluid dynamics analysis. However, existing methods have limitations in handling complex nonlinear relationships. Therefore, this paper introduced complex network science into the field of fluid dynamics, redefined the transient flow field and simplified its description through clustering methods, thus effectively captured key structures and features. Additionally, network theory was applied to describe the fluid flow process, revealing important patterns and interactions within it. Finally, a model for unsteady hydrodynamic coefficients was constructed, enabling accurate prediction and description of unsteady behaviors in fluid dynamics. This research integrates network science with fluid dynamics, providing new ideas and tools for solving complex fluid dynamics problems, particularly in the context of ship and ocean engineering applications.

complex network  /  fluid dynamics  /  data-driven  /  system modeling
王子豪, 回达, 张桂勇, 孙铁志, 史崇镔, 黄华坤. 基于复杂网络科学的流体动力学分析与建模. 船舶力学, 2026 , 30 (8) : 1245 -1254 . DOI: 10.3969/j.issn.1007-7294.2026.08.003
Zi-hao WANG, Da HUI, Gui-yong ZHANG, Tie-zhi SUN, Chong-bin SHI, Hua-kun HUANG. Fluid dynamics analysis and modeling based on complex network science[J]. Journal of Ship Mechanics, 2026 , 30 (8) : 1245 -1254 . DOI: 10.3969/j.issn.1007-7294.2026.08.003
Year 2026 volume 30 Issue 8
4
2
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Article Info
doi: 10.3969/j.issn.1007-7294.2026.08.003
  • Receive Date:2026-03-05
  • Online Date:2026-11-03
  • Published:2026-08-15
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  • Received:2026-03-05
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Affiliations
    1Dalian University of Technology, State Key Laboratory of Structure Analysis, Optimization and CAE Software for Industrial Equipment, Dalian 116024, China
    2Navigation College, Dalian Maritime University, Dalian 116026, China
    3College of Engineering, Southern University of Science and Technology, Shenzhen 518055, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
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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