Simulation of Sheared Suspensions With a Parallel Implementation of QDPD.

Area of Science:

• Computational physics and chemistry
• Fluid dynamics
• Materials science

Background:

• Complex fluids exhibit intricate flow behaviors under shear stress.
• Simulating these behaviors requires computationally intensive methods.
• Existing methods may not efficiently handle large-scale or complex systems.

Purpose of the Study:

• To develop and present a parallel quaternion-based dissipative particle dynamics (QDPD) program.
• To enable efficient simulation of complex fluid flow properties under shear.
• To leverage parallel computing for enhanced simulation capabilities.

Main Methods:

• Developed a parallel QDPD program using Fortran and Message Passing Interface (MPI).
• Implemented a parallel link-cell spatial decomposition technique.
• Incorporated novel features including rigid body inclusions across processors and sheared boundary conditions.

Main Results:

• The parallel QDPD program successfully simulates complex fluid flow under shear.
• Achieved a parallel speedup of 24.19 for a benchmark calculation on 27 processors.
• Demonstrated the program's efficiency on distributed memory architectures.

Conclusions:

• The developed parallel QDPD program is effective for studying shear-driven complex fluid dynamics.
• Parallelization significantly enhances simulation capacity for size and complexity.
• The implementation offers a robust tool for advanced fluid dynamics research.