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Article type: Research Article
Authors: Zhan, Weia | Wang, Chenga; | Zhang, Huizhena | Lai, Xiongmingb | Chen, Yewanga
Affiliations: [a] College of Computer Science and Technology, Huaqiao University, Xiamen, P.R. China | [b] College of Mechanical and Automation, HuaQiao University, Xiamen, P.R. China
Correspondence: [*] Corresponding author: Cheng Wang, College of Computer Science and Technology, Huaqiao University, Xiamen, No. 668 Jimei Road, Jimei District Xiamen, FuJian, 361021, P.R. China. Mobile: 0086 15980843865, Office: 86 592 6162495; E-mail: wangcheng@hqu.edu.cn
Abstract: In order to predict multi-points frequency domain vibration response in the situation of unknown uncorrelated multi-source loads, a new multi-points vibration response prediction method in frequency domain is proposed. This new method is based on transfer functions and uncorrelated multi-source loads identification. After getting the system’s transfer functions from all uncorrelated multi-source loads to all the measurement points and vibration response of the known measurement points, the unknown uncorrelated multi-source loads in frequency domain can be identified by least square generalized inverse. Then, the vibration response of the unknown measurement points can be predicted through multiplying the identification uncorrelated multi-source loads and the system’s transfer functions from all uncorrelated multi-source loads to all the unknown measurement points. Experiment verification results of acoustic and vibration sources on cylindrical shell showed that the proposed approach could predict multi-points frequency domain vibration response in situation of unknown uncorrelated multi-source loads effectively.
Keywords: Vibration response prediction in frequency domain, transfer function, unknown uncorrelated multi-source loads, loads identification in frequency domain, least square generalized inverse
DOI: 10.3233/JAE-171012
Journal: International Journal of Applied Electromagnetics and Mechanics, vol. 59, no. 3, pp. 1029-1039, 2019
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