In this paper we have developed a robust numerical algorithm for the visco-plastic SaintVenant model with topography. For the time discretization an implicit (backward) Euler scheme was used. To solve the resulting nonlinear equations, a four steps iterative algorithm was proposed. To handle the non-differentiability of the plastic terms an iterative decomposition-coordination formulation coupl...

Abstract Blockage of arteries by the formation plaques causing stenosis is a major health problem among human beings.In this study, model developed for flow through multi-stenosed elastic artery segment under effect body acceleration and slip velocity. Fluid regarded as Non-Newtonian Bingham Plastic Fluid. The equations representing are solved analytically using Perturbation Method. Result disc...

The dynamic stability of a composite plate with external electrorheological (ER) damper subjected to an axial periodic load is investigated. Electrorheological fluids are a class of smart materials, which exhibit reversible changes in mechanical properties when subjected to an electric field. As a result, the dynamic behavior of the structure is changed. The ER damper is used for suppressing th...

This paper explores the design methodology and effectiveness of small-scale magnetorheological dampers (MRDs) in applications that require rapidly variable damping. Previously applications of MRDs have been chiefly limited to vehicle shock absorbers and seismic vibration attenuators. There has been recent biomedical interest in active-damping technology, particularly in the field of rehabilitat...

This work addresses the numerical computation of the two-dimensional flow of yield stress fluids (with Bingham and Herschel-Bulkley models) based on a variational approach and a finite element discretization. The main goal of this paper is to propose an alternative optimization method to existing procedures such as penalization and augmented Lagrangian techniques. It is shown that the minimum p...

Statistical colour models may be used to characterise regions of interest within images or sequences of images. In this work two types of model, one based on underlying Gaussian statistics and one using a Bingham distribution, are compared on both a theoretical and an experimental level. It is shown that when certain conditions hold, the Bingham model tends to have superior performance but that...