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This result is a first step towards modeling of "rough" cracks having contacts between crack faces.
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On the basis of Christensen's stochastic model of rough surfaces, this study theoretically analyzes the effect of surface roughness on the dynamic stiffness and damping characteristics of compensated hydrostatic circular step thrust bearings.
Statistical models of rough surfaces are widely used in tribology.
It was found that the linear model of rough cutting is adequate, reflected by the significant regress coefficients and the high R2 value.
In this study, the response surface methodology (RS M was employed to derive predictive models of rough and compensation cuttings for an aspheric convex mold, with an outer aperture of ϕ12 mm and curve height of 0.6 mm.
Hence, the statistical models of rough surfaces under consideration cannot be used for description of the surfaces and there is a need in critical re-examination of the current statistical approaches.
Corresponding to the fact that the decision-making information system of rough sets is of intuitionistic fuzzy information system, our method defines the conflict distance by using the idea of measuring intuitionistic fuzzy similarity so that it is introduced into the models of rough sets, leading to the development of our intuitionistic fuzzy rough set model.
c Optical models of rough metal surfaces prepared with different metal gap sizes (d corresponds to the distance between two cylinders, and R is the radius of the metal cylinder).
Then, according to the microarray data of genetic expression, we identify the number of connections in the dynamic regulatory model of rough gene network in the inflammatory system.
modeling of a rough surface.
In order to simulate the full process of nanoparticle deposition, measurement and analysis, data modeling was performed in several successive steps: 1. modeling of a rough surface.
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