A consistent implementation of Lees-Edwards boundary conditions is proposed for the Multi-Sphere Discrete Element Method, which can mitigate various unphysical effects at bulk and micro-structural levels. These include non-linear velocity profiles inhomogeneous particle distributions, result in significant errors with respect to pressure granular temperature. In order allow a fair assessment di...

Existing calibration methods for contact parameters of soil discrete elements are primarily based on a single physical property (e.g., natural accumulation angle and shear characteristics). To solve this limitation, method the area difference was proposed in accordance with actual operation effect ridge furrow opener. The typical clay loam middle lower reaches Yangtze River (moisture content 20...

The discrete element method (DEM) has been used as a popular simulation method in order to verify the designs by visualizing how materials flow through complex equipment geometries.  Although DEM simulation is a powerful design tool, finding a DEM model that includes all real material properties is not computationally feasible.  In order to obtain more realistic results, particle energy loss du...

This paper presents the application of radial basis neural networks to the development of a novel method for the condition monitoring and fault diagnosis of synchronous generators. In the proposed scheme, flux linkage analysis is used to reach a decision. Probabilistic neural network (PNN) and discrete wavelet transform (DWT) are used in design of fault diagnosis system. PNN as main part of thi...

This paper studies a phase field model for the mixture of two immiscible and incompressible fluids. The model is described by a nonlinear parabolic system consisting of the nonstationary Stokes equations coupled with the Allen-Cahn equation through an extra phase induced stress term in the Stokes equations and a fluid induced transport term in the Allen-Cahn equation. Both semi-discrete and ful...