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January 14, 2026International Journal for Numerical Methods in Engineering1 citations

A Steady‐State Eulerian Smoothed Particle Hydrodynamics ( SPH ) Approach for Incompressible Flow and Heat Transfer Using the Semi‐Implicit Method for Pressure‐Linked Equations ( SIMPLE ) Algorithm

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TKTaegeon KimHYHee Sang YooJKJin‐Woo Kim

Key Points

  • The aim is to develop a steady-state SPH solver utilizing the SIMPLE algorithm for incompressible flow and heat transfer.
  • Proposed a steady state Eulerian SPH solver integrating the SIMPLE algorithm.
  • Employed a matrix-free Bi-CGSTAB iterative solver for large sparse linear systems.
  • Parallelized the computational algorithm on GPUs.
  • Achieved 8.97–17.36 times speedup compared to conventional transient Eulerian SPH solvers.
  • Validated the method through benchmark tests including pipe flow and lid-driven cavity flow.
  • Maintained high accuracy while solving steady-state velocity, pressure, and temperature fields.

Abstract

ABSTRACT A steady state Eulerian smoothed particle hydrodynamics (SPH) solver is proposed by integrating the Semi‐Implicit Method for Pressure‐Linked Equations (SIMPLE) algorithm. By removing time dependent terms from the governing equations, the proposed approach directly solves for steady‐state velocity, pressure, and temperature fields for incompressible flows using a matrix‐based formulation. To efficiently handle the resulting large, sparse linear systems, a matrix‐free Bi‐CGSTAB iterative solver is employed and the overall computational algorithm is fully parallelized on GPUs to accelerate performance. The accuracy and efficiency of the proposed steady solver are validated through several benchmark tests, including pipe flow with and without obstacles, 2D/3D lid‐driven cavity flow with and without heat transfer, and natural convection flow. Compared to conventional transient Eulerian SPH solvers, the proposed method achieves 8.97–17.36 times speedup while maintaining high accuracy, making it a promising tool for steady state CFD analysis and as a precursor to transient simulations.

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Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/6966e73f13bf7a6f02bffd3bhttps://doi.org/10.1002/nme.70255
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