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浙江大学学报(工学版)
浙江大学学报(工学版)  2018, Vol. 52 Issue (2): 288-296    DOI: 10.3785/j.issn.1008-973X.2018.02.011
土木与交通工程     
基于优化阶跃激励的索穹顶密集模态测试方法
伍晓顺1,2, 邓华1, 孙桐海1
1. 浙江大学 空间结构研究中心, 浙江 杭州 310058;
2. 江西理工大学 南昌校区, 江西 南昌 330013
Method for identifying modal parameters of closely spaced modes of cable domes by optimizing step excitations
WU Xiao-shun1,2, DENG Hua1, SUN Tong-hai1
1. Space Structures Research Center, Zhejiang University, Hangzhou 310058, China;
2. Nanchang Campus, Jiangxi University of Science and Technology, Nanchang 330013, China
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摘要：

针对索穹顶模态频率分布密集的特点，以经典的稀疏时域法（STD）为例，解释此类常规方法进行结构密集模态识别精度低的原因.为了提高识别精度，配合模态识别的时域法，提出基于优化阶跃激励的密集模态测试方法.该方法通过优化激励的布置和大小，增强结构自由振动中待识别模态的贡献且同时抑制邻近模态的贡献，采用遗传算法来寻求最优激励模式.利用Geiger索穹顶算例来考察方法的有效性.分析结果表明，优化阶跃激励可以使密集模态识别问题转化成为孤立模态识别问题，采用该方法可以有效提高索穹顶密集模态的识别精度.
Abstract:

The classic sparse time domain (STD) method was employed to explain why the conventional methods easily produced inaccurate identification of closely spaced modes for cable domes presented intensive frequencies. A modal testing method based on the cooperation of optimal step excitations and conventional time domain methods was proposed to improve the identification accuracy. The contribution of the target mode to the structural free vibration was enhanced by means of optimizing the locations and the amplitudes of step excitations. Meanwhile, the contributions of its adjacent modes were suppressed. The genetic algorithm was utilized to optimize the step excitations. A Geiger cable dome was investigated for the capability of the proposed method. The numerical results show that the identification of closely spaced modes can be transformed to that of sparse ones by optimizing step excitations. The proposed method can effectively improve the identification accuracy of intensive modes for cable domes.
收稿日期: 2017-01-25 出版日期: 2018-03-09
CLC:  TU311  
基金资助:

国家自然科学基金资助项目（51578493）；江西省教育厅科学技术研究资助项目；江西理工大学博士科研启动资金资助项目（GJJ170529）.
通讯作者: 邓华,男,教授.orcid.org/0000-0002-0792-0518.     E-mail: denghua@zju.edu.cn
作者简介: 伍晓顺(1981-),男,博士生,从事空间结构等研究.orcid.org/0000-0001-8524-7771.E-mail:wuxiaoshun1981@163.com
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引用本文:

伍晓顺, 邓华, 孙桐海. 基于优化阶跃激励的索穹顶密集模态测试方法[J]. 浙江大学学报(工学版), 2018, 52(2): 288-296.

WU Xiao-shun, DENG Hua, SUN Tong-hai. Method for identifying modal parameters of closely spaced modes of cable domes by optimizing step excitations. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2018, 52(2): 288-296.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2018.02.011    或    http://www.zjujournals.com/eng/CN/Y2018/V52/I2/288

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