The vector form intrinsic finite element method (VFIFE) is suitable for analyzing and simulating the large deformation, nonlinear or discontinuous mechanical behaviors of the flexible structures effectively, without assembling the global stiffness matrix. As for that, the modal parameters cannot be solved by eigenvalues directly. In this paper, referring to the stochastic subspace identification (SSI), the covariance based stochastic subspace Identification program (VFIFE-SSI) is nested in the VFIFE solver. The modal analyses of the twin-cable network and the different cables network VFIFE models are carried out respectively, and the modal frequencies, damping ratios and mode shapes of the cable network are obtained. The accuracy of the VFIFE-SSI method is verified by comparing the results of the analytical solution with the traditional finite element analysis results. Meanwhile, the results show that the stiffness and damping coefficient of the cross-ties will influence the modal parameters of the cable network, and the overall performance of the cable network can be adjusted by varying the cross-tie parameters in engineering.
Key words
vector form intrinsic finite element(VFIFE) /
stochastic subspace identification(SSI) /
modal analysis /
cable network
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References
[1] 丁承先,段元锋,吴东岳.向量式结构力学[M].北京:科学出版社,2012.
Ding Chengxian,Duan Yuanfeng,Wu Dongyue.Vector mechanics of structure[M].Beijing:Science Press,2012.(in Chinese)
[2] 刘松,章红梅,师振华.基于向量式有限元的超高韧性水泥基复合材料叠合剪力墙非线性分析[J].结构工程师,2015,31(4):38-46.
Liu Song,Zhang Hongmei,Shi Zhenhua.Nonlinear analysis of UHTCC composite walls based on vector form intrinsic finite element method[J].Structural Engineers,2015,31(4):38-46.(in Chinese)
[3] 杜恭榜,章红梅.基于向量式有限元的宏观剪力墙单元开发及应用[J].结构工程师,2017,33(3):67-72.
Du Gongbang,Zhang Hongmei.Development and application of shear wall macro-element based on vector form intrinsic finite element[J].Structural Engineers,2017,33(3):67-72.(in Chinese)
[4] 何科. 基于向量式有限元的斜拉桥地震倒塌全过程模拟研究[D].杭州:浙江大学,2013.
He Ke.Entire-process simulation of earthquake-induced collapse of cable-stayed bridges by vector form intrinsic finite element (VFIFE) method[D].Hangzhou:Zhejiang University,2013.(in Chinese)
[5] 陈潜溢. 基于卷积神经网络和空间-频谱信息的拱桥损伤识别研究[D].杭州:浙江大学,2019.
Chen Qianyi.CNN-based damage identification method for arch bridge using spatial-spectral information[D].Hangzhou:Zhejiang University,2019.(in Chinese)
[6] 高敏,刘剑锋,张启伟.超高索塔自立状态下环境振动试验与分析[J].结构工程师,2008,24(3):129-134.
Gao Min,Liu Jianfeng,Zhang Qiwei.Ambient vibration test of super high cable tower in its erect state[J].Structural Engineers,2008,24(3):129-134.(in Chinese)
[7] 张小宁. 基于随机子空间方法的结构模态参数自动识别[D].哈尔滨:哈尔滨工业大学,2012.
Zhang Xiaoning.Stochastic subspace method for automotive identification of structural modal parameters[D].Harbin:Harbin Institute of Technology,2012.(in Chinese)
[8] Hong Ah Lum,Ubertini Filippo,Betti Raimondo.New stochastic subspace approach for system identification and its application to long-span bridges[J].Journal of Engineering Mechanics,2013,139(6):724-736.
[9] 王茂华,迟世春,周雄雄.基于地震记录和SSI方法的高土石坝模态识别[J].岩土工程学报,2021,1-10.
Wang Maohua,Chi Shichun,Zhou Xiongxiong.Modal identification of high earth-rock dams based on seismic records and SSI Method[J].Chinese Journal of Geotechnical Engineering,2021,1-10.(in Chinese)
[10] Javaid Ahmad.In-plane dynamic behaviour of conventional and hybrid cable network systems on cable-stayed bridges[D].Windsor:University of Windsor,2016.
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Footnotes
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