运行模态分析是现阶段对大型结构进行动力特性参数分析的重要手段。首先,采集了110 kV输电塔环境激励下的响应时程;其次,采用短时傅里叶变换配合不同时间窗口下的时频域强度信息的方法,得到了响应信号的时频图,讨论了环境激励下响应时程的频域响应特征;最后,采用了随机子空间方法,获得了结构的动力特性参数。研究结论表明,环境激励可为运行模态分析提供持续稳定激励;试验塔的一阶模态能量耗散能力较强,在垂直横担方向阻尼比数值随着模态频率增加有减小的趋势。试验部分可为服役输电塔的监测、维护提供参考,形成的结论可为输电塔的抗风设计提供参考。
赵倩,闫维娜,行新鹏.桥臂电抗器的噪声测试与分析[J].电力电容器与无功补偿,2024(03).
曹枚根,杨婷婷,王瑜,郑翀,周文松.基于随机子空间和统计模型的输电塔损伤识别[J].振动.测试与诊断,2023(02).
黄赐荣,楼文娟,徐海巍,张跃龙.输电线路防舞阻尼器系统参数分析及设计研究[J].工程力学,2022(12).
茅建校,桂桂,王浩,杨朝勇.大跨度斜拉桥模态参数长期追踪及其变异性分析[J].振动工程学报,2024(01).
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(07).
赵超,赵家钰,孙清,袁俊,王虎长,贺育明,谭蓉.环境激励下输电塔动力特性参数识别[J].振动与冲击,2021(04).
刘宇飞,辛克贵,樊健生,崔定宇.环境激励下结构模态参数识别方法综述[J].工程力学,2014(04).
蒲黔辉,秦世强,施洲,王秋萍,勾红叶.环境激励下钢筋混凝土拱桥模态参数识别[J].西南交通大学学报,2012(04).
Yuhu Feng,Youhua Su,Chao Zhao,Yanming Zhu,Qing Sun.A two-stage automated OMA framework for transmission towers based on clustering algorithms[J].Structures,2024.
Zhu Yanming,Sun Qing,Zhao Chao,Qi Hao,Su Youhua.Bayesian Operational Modal Analysis with Interactive Optimization for Model Updating of Large-Size UHV Transmission Towers[J].Journal of Structural Engineering,2023.
Zhao Chao,Su Youhua,Zhu Yanming,Sun Qing,Wei Sitong,Wang Xueming.Enhanced semi-automated Bayesian modal identification approach for Ultra-high voltage transmission towers[J].Structures,2023.
Yun Da Yo,Shim Hak Bo,Park Hyo Seon.SSI-LSTM network for adaptive operational modal analysis of building structures[J].Mechanical Systems and Signal Processing,2023.
Qu ChunXu,Liu YuFei,Yi TingHua,Li HongNan.Structural Damping Ratio Identification through Iterative Frequency Domain Decomposition[J].Journal of Structural Engineering,2023.
Zhu Y.M.,Sun Q.,Zhao C.,Wei S.T,Yin Y.,Su Y.H..Operational modal analysis of two typical UHV transmission towers: A comparative study by fast Bayesian FFT method[J].Engineering Structures,2023.
Liu Dawei,Bao Yuequan,Li Hui.Machine learning-based stochastic subspace identification method for structural modal parameters[J].Engineering Structures,2023.
Wang Xinrui,Zhu Zuo,Au Siu-Kui.Bayesian operational modal analysis of structures with tuned mass damper[J].Mechanical Systems and Signal Processing,2023.
Fang Chen,Liu Hong-Jun,Lam Heung-Fai,Adeagbo Mujib Olamide,Peng Hua-Yi.Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters[J].Engineering Structures,2022.
Hong-Nan Li,Jin-Xin Wang,Xing Fu,Liang Ren,Qing Zhang.Field measurements of typhoon effects on a transmission tower and its modal parameter identification:[J].Advances in Structural Engineering,2020.
Zhang FengLiang,Yang YanPing,Xiong HaiBei,Yang JiaHua,Yu Zhi.Structural health monitoring of a 250‐m super‐tall building and operational modal analysis using the fast Bayesian FFT method[J].Structural Control and Health Monitoring,2019.
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