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Dynamic analysis method of cable structures based on coupled integration algorithm

delete2025-06-01
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PRE
AI
H
Hongchen Su
C
Chuanguo Jia *
Y
Yutao Li
J
Jinji Zhao
Z
Ziao Yuan
张
张涛 (Tao Zhang)
DOI:10.1016/j.jsv.2025.118977delete
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摘要

摘要

En 中文
Cable structures are widely used in civil engineering structures such as suspension bridges, catenary systems, and transmission lines because of their light weight and good stretchability. But in these structures, the flexible cable is easy to produce large deformation and large displacement under dynamic actions. The characteristics of complex geometric nonlinearity makes its dynamic research face great problems. The absolute nodal coordinate formulation (ANCF) is widely used in the dynamic modeling and analysis of cable structures due to its advantages of accurately and effectively dealing with large deformation problems. However, the formed equations of ANCF are usually differential algebraic equations (DAEs), which are not suitable to be solved by direct integration methods. Therefore, this paper innovatively derives a coupled integration algorithm for solving the DAEs-GC-alpha method. This algorithm is conceived along the principle of GC coupled integration algorithm, and the generalized alpha method with numerical damping is introduced to ensure the stability of the algorithm and reduce the adverse effects of high-frequency components in the vibration of cable structures. By combining this algorithm with the ANCF, a dynamic analysis method of cable structures is proposed. Finally, the accuracy and dependability of the analytical approach are verified by the simulations of free vibration, forced vibration, free fall of a single cable and real engineering cases.
Keyword:
Cable structures
Dynamic analysis
Absolute nodal coordinate formulation
Coupled integration algorithm
GC-alpha method

期刊

Journal of Sound and Vibration 封面图
Journal of Sound and Vibration
IF:
4.9
论文数:
1.7W
被引数:
4.8W

机构

C
chongqing university
学者数:
5.0K
论文数: 1.5K
被引数: 0
H
Harbin Institute of Technology
学者数:
7.2K
论文数: 2.1K
被引数: 0
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