Experimental acceleration data processing and analysis of reinforced cylindrical shells

Jiuqiang Wang; Erni Qiu; Dongyan Shi; Shan Lu; Jiaxiao Yang; Miao Li

doi:10.1117/12.2641096

20 September 2022 Experimental acceleration data processing and analysis of reinforced cylindrical shells

Jiuqiang Wang, Erni Qiu, Dongyan Shi, Shan Lu, Jiaxiao Yang, Miao Li

Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122613X (2022) https://doi.org/10.1117/12.2641096
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China

Abstract

The kinematic response of the reinforced cylindrical hull has a significant impact on the comfort of the ship's occupants. The dry modal data are first decomposed into multiple IMF signals using the empirical modal decomposition method, and the noise and trend terms in the signals are removed, with the energy increment method. The LSCE method is then used to plot the frequency stability of the modes at different measurement points, and after eliminating spurious modes, the final identified model intrinsic frequencies are obtained; Finally, the effectiveness of the analytical solution in identifying the inherent frequencies of the model is verified by comparing it with the inherent frequencies obtained using the analytical solution.

Citation Download Citation

Jiuqiang Wang, Erni Qiu, Dongyan Shi, Shan Lu, Jiaxiao Yang, and Miao Li "Experimental acceleration data processing and analysis of reinforced cylindrical shells", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122613X (20 September 2022); https://doi.org/10.1117/12.2641096

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