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This chapter presents a comprehensive framework for enabling large-scale CFD-DEM simulations. It introduces the strategies combining advanced supercomputing hardware (central processing unitsCentral Processing Units (CPU), graphics processing unitsGraphics Processing Units (GPU), clusters), parallelization techniques (temporal and spatial domain decomposition) and numerical acceleration methods (coarse-grained methodCoarse-Grained Method (CGM) and recurrence CFDComputational Fluid Dynamics (CFD) method). Together, these strategies address the computational cost and complexity of simulating industrial-scale dense particulate systems.

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Strategies for Large-Scale CFD-DEM Simulations

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  • 发表日期：

    2026年

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  • Ramesh K. Agarwal,
  • Yali Shao

摘要

This chapter presents a comprehensive framework for enabling large-scale CFD-DEM simulations. It introduces the strategies combining advanced supercomputing hardware (central processing unitsCentral Processing Units (CPU), graphics processing unitsGraphics Processing Units (GPU), clusters), parallelization techniques (temporal and spatial domain decomposition) and numerical acceleration methods (coarse-grained methodCoarse-Grained Method (CGM) and recurrence CFDComputational Fluid Dynamics (CFD) method). Together, these strategies address the computational cost and complexity of simulating industrial-scale dense particulate systems.