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Response measurement by laser Doppler vibrometry in vibration qualification tests with non-Gaussian random excitation
J. Giacomin, A. Steinwolf, and W. J. Staszewski, “Application of mildly nonstationary mission synthesis (MNMS) to automotive road data,” in ATA 7th Internation Conference on the New Role of Experimentation in the Modern Automotive Product Development Process, Florence, Italy, 23–25 May 2001.
A. Steinwolf, Sound Vib. 40(9), 12 (2006).
J. Minderhoud and P. Van Baren, Sound Vib. 44(10), 8 (2010).
S. A. Rizzi, A. Przekop, and T. L. Turner, “On the response of a nonlinear structure to high kurtosis non-Gaussian random loadings,” in EURODYN 2011, 8th International Conference on Structural Dynamics, Leuven, Belgium, 4–6 July 2011, Paper 41.
F. Kihm, S. A. Rizzi, N. S. Ferguson, and A. Halfpenny, “Understanding how kurtosis is transferred from input acceleration to stress response and its influence on fatigue life,” in Proceedings of 11th International Conference RASD, Pisa, Italy, 1–3 July 2013.
N. Lu, X. Wang, and X. Wu, “Piping vibration stress measurement and life assessment,” in Transactions of the 18th International Conference on Structural Mechanics in Reactor Technology SMiRT 18, Beijing, China, 7–12 August 2005.
A. Maekawa and M. Noda, “Developments of methods to measure vibrational stress of small-bore piping with multiple contactless displacement sensors,” in Proceedings of the 23rd International Congress on Condition Monitoring and Diagnostic Engineering Management COMADEM 2010, Nara, Japan, 28 June–2 July 2010.
J. Chen and D. Draper, “Random vibration fatigue tests to prove integrity of cantilevered attachments on compressor shells,” in International Compressor Engineering Conference, 2002, Paper 1570.
M. Troncossi, R. Di Sante, and A. Rivola, “Displacement measurement on specimens subjected to non-Gaussian random vibrations in fatigue life tests,” AIP Conf. Proc. 1600, 74–82 (2014).
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In the field of vibration qualification testing, random excitations are typically imposed on the tested system in terms of a power spectral density (PSD) profile. This is the one of the most popular ways to control the shaker or slip table for durability tests. However, these excitations (and the corresponding system responses) exhibit a Gaussian probability distribution, whereas not all real-life excitations are Gaussian, causing the response to be also non-Gaussian. In order to introduce non-Gaussian peaks, a further parameter, i.e., kurtosis, has to be controlled in addition to the PSD. However, depending on the specimen behaviour and input signal characteristics, the use of non-Gaussian excitations with high kurtosis and a given PSD does not automatically imply a non-Gaussian stress response. For an experimental investigation of these coupled features, suitable measurement methods need to be developed in order to estimate the stress amplitude response at critical failure locations and consequently evaluate the input signals most representative for real-life, non-Gaussian excitations. In this paper, a simple test rig with a notched cantilevered specimen was developed to measure the response and examine the kurtosis values in the case of stationary Gaussian, stationary non-Gaussian, and burst non-Gaussian excitation signals. The laser Doppler vibrometry technique was used in this type of test for the first time, in order to estimate the specimen stress amplitude response as proportional to the differential displacement measured at the notch section ends. A method based on the use of measurements using accelerometers to correct for the occasional signal dropouts occurring during the experiment is described. The results demonstrate the ability of the test procedure to evaluate the output signal features and therefore to select the most appropriate input signal for the fatigue test.
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