Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures
Modal parameters are important parameters for the dynamic response analysis of structures. An output-only modal parameter identification technique based on Hilbert Vibration Decomposition (HVD) is developed herein for structural modal parameter identification to (1) obtain the Free Decay Response (F...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/6688686 |
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| _version_ | 1832560016512516096 |
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| author | Yingzhi Xia Hui Li Zhezhe Fan Jiyong Xiao |
| author_facet | Yingzhi Xia Hui Li Zhezhe Fan Jiyong Xiao |
| author_sort | Yingzhi Xia |
| collection | DOAJ |
| description | Modal parameters are important parameters for the dynamic response analysis of structures. An output-only modal parameter identification technique based on Hilbert Vibration Decomposition (HVD) is developed herein for structural modal parameter identification to (1) obtain the Free Decay Response (FDR) of a structure through free vibration or ambient vibration tests, (2) decompose the FDR into modal responses using HVD, and (3) calculate the instantaneous frequencies and instantaneous damping ratios of the modal responses to obtain the modal frequencies and modal damping ratios. A series of numerical examples are examined to demonstrate the efficiency and highlight the superiorities of the proposed method relative to the empirical model decomposition-based (EMD-based) method. The robustness of the proposed method to noises is also investigated and proved to be positive effect. The proposed method is proved to be efficient in modal parameter identification for both linear and nonlinear systems, with better frequency resolution, and it can be applied to systems with closely spaced modes and low-energy mode. |
| format | Article |
| id | doaj-art-0808154d4c114473856f991de39b1785 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-0808154d4c114473856f991de39b17852025-02-03T01:28:34ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66886866688686Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge StructuresYingzhi Xia0Hui Li1Zhezhe Fan2Jiyong Xiao3School of Civil and Transportation Engineering, Henan University of Urban Construction, Longxiang Road Xincheng Area, Pingdingshan, Henan 467036, ChinaSchool of Civil and Transportation Engineering, Henan University of Urban Construction, Longxiang Road Xincheng Area, Pingdingshan, Henan 467036, ChinaSchool of Civil and Transportation Engineering, Henan University of Urban Construction, Longxiang Road Xincheng Area, Pingdingshan, Henan 467036, ChinaChina Railway No. 10 Engineering Group Investment and Development Co., Ltd., Jinan, Shandong, 250000, ChinaModal parameters are important parameters for the dynamic response analysis of structures. An output-only modal parameter identification technique based on Hilbert Vibration Decomposition (HVD) is developed herein for structural modal parameter identification to (1) obtain the Free Decay Response (FDR) of a structure through free vibration or ambient vibration tests, (2) decompose the FDR into modal responses using HVD, and (3) calculate the instantaneous frequencies and instantaneous damping ratios of the modal responses to obtain the modal frequencies and modal damping ratios. A series of numerical examples are examined to demonstrate the efficiency and highlight the superiorities of the proposed method relative to the empirical model decomposition-based (EMD-based) method. The robustness of the proposed method to noises is also investigated and proved to be positive effect. The proposed method is proved to be efficient in modal parameter identification for both linear and nonlinear systems, with better frequency resolution, and it can be applied to systems with closely spaced modes and low-energy mode.http://dx.doi.org/10.1155/2021/6688686 |
| spellingShingle | Yingzhi Xia Hui Li Zhezhe Fan Jiyong Xiao Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures Advances in Civil Engineering |
| title | Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures |
| title_full | Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures |
| title_fullStr | Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures |
| title_full_unstemmed | Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures |
| title_short | Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures |
| title_sort | modal parameter identification based on hilbert vibration decomposition in vibration stability of bridge structures |
| url | http://dx.doi.org/10.1155/2021/6688686 |
| work_keys_str_mv | AT yingzhixia modalparameteridentificationbasedonhilbertvibrationdecompositioninvibrationstabilityofbridgestructures AT huili modalparameteridentificationbasedonhilbertvibrationdecompositioninvibrationstabilityofbridgestructures AT zhezhefan modalparameteridentificationbasedonhilbertvibrationdecompositioninvibrationstabilityofbridgestructures AT jiyongxiao modalparameteridentificationbasedonhilbertvibrationdecompositioninvibrationstabilityofbridgestructures |