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Fatigue crack growth and closure behavior under random loadings in 7475-T7351 alloynum alloy is investigated by performing various random loading tests.
The random loading has been considered as earthquake loading.
Studies using random loading models are also presented.
Many engineering structures are subjected to random loading.
Fatigue damage under wide-band Gaussian random loading is analysed.
This paper discusses an iteration method for accurate random loading.
They can be also applied for random loading.
These problems include random loading force and acceleration at the bit and random formation contact properties.
The reliability evaluation of structural components under random loading is affected by several uncertainties.
A back-propagation neural network was applied to fatigue life prediction under multiaxial random loading.
Firstly, the random loading given by PSD is transferred into harmonic functions.
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