On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration
2016 (English)In: Shock and Vibration, ISSN 1070-9622, E-ISSN 1875-9203, 5450865Article in journal (Refereed) PublishedText
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.
Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2016. 5450865
IdentifiersURN: urn:nbn:se:bth-11664DOI: 10.1155/2016/5450865ISI: 000368847700001OAI: oai:DiVA.org:bth-11664DiVA: diva2:908297