基于IMPSCO和改进Newmark-β算法的结构系统及激励辨识研究

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摘要基于振动的土木工程结构系统识别中，常用的识别方法如基于Newmark-β算法的方法，常常需要已知激励，而事实上激励和完整的输出响应是很难测得的。基于此，在现有的Newmark-β算法中引入多项式拟合来解决结构系统识别误差带来的漂移现象，进而提出了改进的Newmark-β算法，并结合改进协同粒子群算法(IMPSCO)，给出了仅用部分结构响应的系统识别和激励辨识方法。最后，通过一七层钢框架数值算例和实验室模型试验验证了方法的有效性和可行性，并探讨了噪声、输出响应完整性的影响。研究表明，所提方法能准确地实现未知激励和部分实测响应状态下的结构系统和未知激励的识别，而且具有较强的容噪性和鲁棒性。

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	麻胜兰1
	姜绍飞1
	陈志刚1

关键词 ：未知激励；系统识别；改进的Newmark-&beta, 算法

Abstract：In vibration-based structural system identification (SI) of civil structures, the common-used SI method, like the method based on general Newmark-β algorithm, usually needs the known excitation. In fact, however, it is difficult to measure the actual excitation and complete output responses. In view of this point, a modified Newmark-β algorithm is proposed by inputting the polynomial fitting, which can effectively solve the drift phenomenon of SI; furthermore, by integrating the modified Newmark-β algorithm with an improved multi-particle swarm co-evolution optimization (IMPSCO), an identification approach of SI and excitation is presented by using the limited output-only measurements. Finally, a seven-storey numerical example and a laboratory test are conducted to verify the effectiveness of the proposed method. The effect of noise and completeness of structural response are also discussed. The results show that the proposed method is able to effectively identify the structural system and excitation using the limited output-only measurements; furthermore, it has excellent noise tolerance and robustness．

Key words： Unknown excitation system identification modified Newmark-&beta algorithm

收稿日期: 2015-09-22 出版日期: 2017-07-28

引用本文:

麻胜兰1，姜绍飞1，陈志刚1. 基于IMPSCO和改进Newmark-β算法的结构系统及激励辨识研究[J]. 振动与冲击, 2017, 36(15): 22-28.
Ma Sheng-Lan1，Jiang Shao-Fei1, Chen Zhi-Gang1 . Identification study on structural system and excitation based on IMPSCO and modified Newmark-β algorithm. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(15): 22-28.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2017/V36/I15/22

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