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Balancing accuracy and efficiency: Optimizing segmentation in lumped mass method for hydrodynamic analysis of marine flexible structures  ( EI收录)  

文献类型:期刊文献

英文题名:Balancing accuracy and efficiency: Optimizing segmentation in lumped mass method for hydrodynamic analysis of marine flexible structures

作者:Zhang, Dapeng[1]; Liang, Zhengjie[1]; Zhao, Bowen[2]; Xie, Yifan[1]; Zhao, Guanyixuan[1]; Zhang, Yining[1]; Zhang, Shutian[1]; Tian, Yutao[1]; Zhu, Keqiang[3]

机构:[1] Ship and Maritime College, Guangdong Ocean University, Zhanjiang, 524005, China; [2] Department of Applied Mathematics and Mathematical Modeling, Saint Petersburg State Marine Technical University, Saint-Petersburg, 190121, Russia; [3] Faculty of Maritime and Transportation, Ningbo University, Ningbo, Zhejiang, 315211, China

年份:2025

卷号:37

期号:7

外文期刊名:Physics of Fluids

收录:EI(收录号:20253218945084)、Scopus(收录号:2-s2.0-105012561193)

语种:英文

外文关键词:Computational efficiency - Hydrodynamics - Lumped parameter networks

外文摘要:Marine flexible structures are essential components of marine equipment, playing a pivotal role in ocean exploration and research. The lumped mass method is a critical tool for studying these structures, particularly in hydrodynamics, where both accuracy and efficiency are of utmost importance. Through extensive research in this field, the author has found that the number of segments used in the lumped mass method significantly impacts its precision and computational efficiency when applied to marine flexible structures. This paper presents a thorough review from two key perspectives: the fundamental principles of the lumped mass method and relevant research applications. Based on this review, it offers a comprehensive summary of optimal segment selection strategies for various marine flexible configurations. Furthermore, the paper explores potential interdisciplinary directions and future developments, particularly highlighting the integration of artificial intelligence technology. To some extent, these insights serve as a valuable reference for advancing research and applications in this field. ? 2025 Author(s).

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