On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration
Gaussian signal is produced by ordinary random vibration controllers to test the products in the laboratory, while the field data is usually non-Gaussian. Two methodologies are presented in this paper for shaker simulation of wind-induced non-Gaussian vibration. The first methodology synthesizes the...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2016/5450865 |
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| _version_ | 1849309086821122048 |
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| author | Fei Xu Chuanri Li Tongmin Jiang |
| author_facet | Fei Xu Chuanri Li Tongmin Jiang |
| author_sort | Fei Xu |
| collection | DOAJ |
| description | Gaussian signal is produced by ordinary random vibration controllers to test the products in the laboratory, while the field data is usually non-Gaussian. Two methodologies are presented in this paper for shaker simulation of wind-induced non-Gaussian vibration. The first methodology synthesizes the non-Gaussian signal offline and replicates it on the shaker in the Time Waveform Replication (TWR) mode. A new synthesis method is used to model the non-Gaussian signal as a Gaussian signal multiplied by an amplitude modulation function (AMF). A case study is presented to show that the synthesized non-Gaussian signal has the same power spectral density (PSD), probability density function (PDF), and loading cycle distribution (LCD) as the field data. The second methodology derives a damage equivalent Gaussian signal from the non-Gaussian signal based on the fatigue damage spectrum (FDS) and the extreme response spectrum (ERS) and reproduces it on the shaker in the closed-loop frequency domain control mode. The PSD level and the duration time of the derived Gaussian signal can be manipulated for accelerated testing purpose. A case study is presented to show that the derived PSD matches the damage potential of the non-Gaussian environment for both fatigue and peak response. |
| format | Article |
| id | doaj-art-0c741b1cc0724324a38f664a06c16085 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-0c741b1cc0724324a38f664a06c160852025-08-20T03:54:15ZengWileyShock and Vibration1070-96221875-92032016-01-01201610.1155/2016/54508655450865On the Shaker Simulation of Wind-Induced Non-Gaussian Random VibrationFei Xu0Chuanri Li1Tongmin Jiang2School of Reliability and System Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, ChinaSchool of Reliability and System Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, ChinaSchool of Reliability and System Engineering, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, ChinaGaussian signal is produced by ordinary random vibration controllers to test the products in the laboratory, while the field data is usually non-Gaussian. Two methodologies are presented in this paper for shaker simulation of wind-induced non-Gaussian vibration. The first methodology synthesizes the non-Gaussian signal offline and replicates it on the shaker in the Time Waveform Replication (TWR) mode. A new synthesis method is used to model the non-Gaussian signal as a Gaussian signal multiplied by an amplitude modulation function (AMF). A case study is presented to show that the synthesized non-Gaussian signal has the same power spectral density (PSD), probability density function (PDF), and loading cycle distribution (LCD) as the field data. The second methodology derives a damage equivalent Gaussian signal from the non-Gaussian signal based on the fatigue damage spectrum (FDS) and the extreme response spectrum (ERS) and reproduces it on the shaker in the closed-loop frequency domain control mode. The PSD level and the duration time of the derived Gaussian signal can be manipulated for accelerated testing purpose. A case study is presented to show that the derived PSD matches the damage potential of the non-Gaussian environment for both fatigue and peak response.http://dx.doi.org/10.1155/2016/5450865 |
| spellingShingle | Fei Xu Chuanri Li Tongmin Jiang On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration Shock and Vibration |
| title | On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration |
| title_full | On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration |
| title_fullStr | On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration |
| title_full_unstemmed | On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration |
| title_short | On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration |
| title_sort | on the shaker simulation of wind induced non gaussian random vibration |
| url | http://dx.doi.org/10.1155/2016/5450865 |
| work_keys_str_mv | AT feixu ontheshakersimulationofwindinducednongaussianrandomvibration AT chuanrili ontheshakersimulationofwindinducednongaussianrandomvibration AT tongminjiang ontheshakersimulationofwindinducednongaussianrandomvibration |