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Computational Coupled Method for Multiscale and Phase Analysis.

Moonho Tak¹, Duhee Park, Taehyo Park

¹Research Professor

Journal of Engineering Materials and Technology

|August 7, 2013

Summary

This study develops computational coupling algorithms for porous media simulations. It enables concurrent multiscale modeling by integrating finite element, smoothed particle hydrodynamics, and discrete element methods for complex fluid and particle interactions.

Keywords:

coupled method discrete element method finite element method multiscale model porous media smoothed particle hydrodynamics

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Area of Science:

Computational mechanics
Multiscale modeling
Porous media physics

Background:

Microscale porous media behavior is complex, hindering macroscale theoretical formulations and simulations.
Traditional hierarchical multiscale methods risk information loss.
Advancements in computing enable direct multiscale approaches like concurrent methods.

Purpose of the Study:

To develop robust computational coupling algorithms for concurrent multiscale simulations of porous media.
To integrate diverse numerical methods for simulating coupled phenomena.
To address limitations of existing multiscale approaches.

Main Methods:

Development of coupling algorithms integrating Finite Element Method (FEM), Smoothed Particle Hydrodynamics (SPH), and Discrete Element Method (DEM).
Implementation of a discrete element model based on SPH, FEM, and DEM for computing fluid flow, particle movement, and contact forces.
Introduction of a mixed FEM (continuum) and DEM with SPH particles (discontinuum) approach.

Main Results:

Successfully computed fluid flow, solid particle movement, and inter-domain contact forces using the developed coupling algorithms.
Demonstrated the feasibility of a concurrent multiscale approach for complex porous media.
Verified the proposed coupling algorithm through numerical simulations.

Conclusions:

The developed coupling algorithms effectively link different numerical methods for concurrent multiscale simulations.
This approach provides a powerful tool for analyzing complex behaviors in porous media.
The mixed FEM/DEM with SPH offers a promising avenue for future research in porous media analysis.