STOCHASTIC FLUCTUATION ANALYSIS OF DYNAMIC YIELD OF MAGNETORHEOLOGICAL FLUID USING CHAINS-FRACTURE MODEL

Yongbo Peng, Ying Feng, Jianbing Chen, Jie Li
2015 Proceedings of the 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2015)   unpublished
Magneto-rheological fluid, due to its perfect controllability behaviors adaptive to operation conditions, serves as a promising materials building a family of intelligent control devices usually applied in performance control and risk reduction of engineering structures. While the complex dynamics of the fluid result in essential challenges on the accurate operation of control devices, of which the quantification of randomness inherent in this suspension system is a critical issue. In the
more » ... t paper, a meso-scale model for dynamic yield analysis of magnetorheological fluids (MRFs) is developed. This model originates from the fracture mechanism of chains involved in the suspension system and accounts the fact that the particle chains go through the rotation, translation and fracture under steady magnetic fields and homogenous shear fields. The benefit of the chains-fracture model is that its critical parameter just hinges upon the rotation angle. The structured behavior of particle chains of magnetorheological fluids under magnetic and shear fields is simulated using a perspective software for large-scale atomic/molecular massively parallel simulation (LAMMPS). The applicability of the developed meso-scale model in the analysis of stochastic fluctuation of dynamic yield of MRFs is investigated based on the data of molecular dynamics simulation.
doi:10.7712/120215.4257.694 fatcat:pg4o7r75fvgf3cyjqgay3odg6u