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Smoothing factor controls the trade-off between better approximation and more smoothness.
As the value of smoothing factor α increases, prominence is given to instantaneous bandwidth requirements.
Simulations were carried out with different values of smoothing factor α (eqn. 13).
In order to suppress the over prediction of ratcheting we consider a scalar function of smoothing factor, which can simulate the saturation behavior of uniaxial/multiaxial strain ratcheting.
Therefore, the parameter values for smoothing factor and the grid width of cluster search were optimized by assessing both performance and computation time.
SF is the smoothing factor.
where α is a smoothing factor.
where ρ denotes the smoothing factor.
The smoothing factor 0<α ol<1 is application specific.
The smoothing factor β was set to 1 - μ.
where the smoothing factor is α p =0.2.
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