Effective Pressure for Two Phase Water-Sediment Models using SPH Method

Abstract

Sediment transport in the aquatic environment is one of the complex two-phase problems in flow mechanics and sediment hydraulics. In this study, the interaction between water and sediment is explored using the SPH method and developed SPHysics2D in which the pressure values are calculated using the state equation. In this study, the non-Newtonian rheological model µ(I) is used for modeling the sediment phase where it is developed based on the properties of granular particles. Also, the effective pressure is used for the study of sediment behavior. The method used in this research is compared with the methods used by other researchers. The Owen equation is utilized to determine the effect of viscosity within the two-phase area. The developed method is evaluated by the dam break on a dynamic bed and then, the experimental model of submerged sediment column collapse is investigated in the aquatic environment. The results of the modeling demonstrate the capabilities of the developed code for the use in the flow and sediment hydraulics.

Three-dimensional simulation of granular flow using a mesh-free numerical model

“…They consider using the knowledge of solid particles to decide the behavior of the interface between phases effectively. Kheirkhahan et al (2020) utilised the SPH method to simulate muddy currents in an aqueous environment. The results obtained from their inquiry revealed a noteworthy correspondence between the adopted theoretical framework and the empirical observations, highlighting the heightened precision of the model.…”

Numerical and Experimental Study of Abrupt Wave Interaction with Vertical and Inclined Rectangular Obstacles

“…Related studies are mentioned below. SPH, a versatile and powerful numerical method, is based on a Lagrangian approach and has been successfully applied to many industrial, mechanical, and environmental fluid flows (Memarzadeh and Hejazi, 2012;Chen et al 2015;López et al 2018;Hosseinkhani et al 2020;Kheirkhahan et al 2020). In SPH method, the computational domain is represented by a set of particles where physical quantities such as pressure, density, velocity and position are known.…”