Pages that link to "Item:Q2462869"
From MaRDI portal
The following pages link to SPH-based numerical investigation of mudflow and other complex fluid flow interactions with structures (Q2462869):
Displaying 15 items.
- A numerical study of the flow of Bingham-like fluids in two-dimensional vane and cylinder rheometers using a smoothed particle hydrodynamics (SPH) based method (Q377267) (← links)
- Fluid-structure interaction analysis of full scale vehicle-barrier impact using coupled SPH-FEA (Q463452) (← links)
- SPH simulation of structures impacted by tailing debris flow and its application to the buffering effect analysis of debris checking dams (Q782317) (← links)
- A Lagrangian particle method for the simulation of linear and nonlinear elastic models of soft tissue (Q950368) (← links)
- Smoothed particle hydrodynamics (SPH): an overview and recent developments (Q970114) (← links)
- A SPH model for the simulation of free surface granular flows in a dense regime (Q1634997) (← links)
- Some numerical aspects of modelling flow around hydraulic structures using incompressible SPH (Q2007182) (← links)
- Mixing process of two-phase non-Newtonian fluids in 2D using smoothed particle hydrodynamics (Q2204055) (← links)
- Two-phase free-surface fluid dynamics on moving domains (Q2269861) (← links)
- SPH-based analysis on the lateral response of pipe culverts in the flowing process of liquefied sand (Q2298426) (← links)
- Study of a complex fluid-structure dam-breaking benchmark problem using a multi-phase SPH method with APR (Q2420314) (← links)
- Lateral load estimation from visco-plastic mud-flow around cylindrical row of piles (Q2489438) (← links)
- Insights on the application of some current SPH approaches for the study of muddy debris flow: numerical and experimental comparison (Q2928751) (← links)
- A corrected smooth particle hydrodynamics method for the simulation of debris flows (Q4456136) (← links)
- Numerical simulation on the whole sinking process of open caisson with an improved SPH method (Q6484144) (← links)