The study presents methods for performing fatigue testing based on standardized power spectrum density (PSD) profiles which correspond to the loads which can occur with the use of a given machine element or device. Methods for changing the character of instantaneous values of load amplitudes distributions, as generated based on the preset PSD profile are also presented, as they can affect the intensity of testing and reduce the time required for conducting fatigue or durability tests.
REFERENCES
1.
X.
Pitoiset
and A.
Preumont
, ‘Spectral methods for multiaxial random fatigue analysis of metallic structures
’, International Journal of Fatigue
, vol. 22
, no. 7
, pp. 541
–550
, Aug. 2000
.2.
A.
Kurek
and A.
Nieslony
, ‘Fatigue Life Tests of Explosively Cladded Steel-Titanium Bimetal’, in Fatigue Failure and Fracture Mechanics
, vol. 726
, D.
Skibicki
, Ed. Stafa-Zurich
: Trans Tech Publications Ltd
, 2012
, pp. 106
–109
.3.
R.
Owsinski
and A.
Nieslony
, ‘Analytical Model of Dynamic Behaviour of Fatigue Test Stand-Description and Experimental Validation’, in Dynamical Systems: Modelling
, vol. 181
, J.
Awrejcewicz
, Ed. New York
: Springer
, 2016
, pp. 293
–317
.4.
A.
Nieslony
, M.
Ruzicka
, J.
Papuga
, A.
Hodr
, M.
Balda
, and J.
Svoboda
, ‘Fatigue life prediction for broad-band multiaxial loading with various PSD curve shapes
’, Int. J. Fatigue
, vol. 44
, pp. 74
–88
, Nov. 2012
.5.
T.
Łagoda
and P.
Ogonowski
, ‘Criteria of multiaxial random fatigue based on stress, strain and energy parameters of damage in the critical plane
’, Mat.-wiss. u. Werkstofftech.
, vol. 36
, no. 9
, pp. 429
–437
, Sep. 2005
.6.
‘
ISO 16750-3:2012 - Road vehicles -- Environmental conditions and testing for electrical and electronic equipment -- Part 3: Mechanical loads
’. [Online]. Available: https://www.iso.org/standard/58049.html. [Accessed: 19-Jun-2018].7.
US Department of Defence
, ‘Environmental engineering considerations and laboratory tests’. MIL-STD-810G.8.
C.
Lalanne
, Mechanical vibration and shock analysis, fatigue damage
, vol. 4
. John Wiley & Sons
, 2010
.9.
R.
Zheng
, H.
Chen
, and X.
He
, ‘Control method for multi-input multi-output non-Gaussian random vibration test with cross spectra consideration
’, Chinese Journal of Aeronautics
, vol. 30
, no. 6
, pp. 1895
–1906
, Dec. 2017
.10.
C.
Braccesi
, F.
Cianetti
, G.
Lori
, and D.
Pioli
, ‘The frequency domain approach in virtual fatigue estimation of non-linear systems: The problem of non-Gaussian states of stress
’, International Journal of Fatigue
, vol. 31
, no. 4
, pp. 766
–775
, Apr. 2009
.11.
S.
Sarkani
, G.
Michaelov
, D. P.
Kihl
, and J. E.
Beach
, ‘Fatigue of welded steel joints under wideband loadings
’, Probabilistic Engineering Mechanics
, vol. 11
, pp. 221
–227
, 1996
.12.
D. O.
Smallwood
, ‘Generating non-Gaussian vibration for testing purposes
’, Sound and Vibration
, vol. 39
, no. 10
, pp. 18
–24
, 2005
.13.
A.
Steinwolf
, ‘Random vibration testing with kurtosis control by IFFT phase manipulation
’, Mechanical Systems and Signal Processing
, vol. 28
, pp. 561
–573
, Apr. 2012
.14.
A.
Celikoglu
and U.
Tirnakli
, ‘Skewness and kurtosis analysis for non-Gaussian distributions
’, arXiv:1412.1293 [cond-mat, physics:physics, q-fin], Dec. 2014
.15.
M.
Shirani
and G.
Härkegård
, ‘Fatigue life distribution and size effect in ductile cast iron for wind turbine components
’, Engineering Failure Analysis
, vol. 18
, no. 1
, pp. 12
–24
, Jan. 2011
.
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