Parallelization Strategies for Ultrasonic Wave Propagation in Composite Materials Considering Microstructural Details

This paper explores advanced parallelization strategies for simulating ultrasonic wave propagation in composite materials considering their complex microstructure. The grid-characteristic method and the use of Chimera grids in the simulations allow us to represent the composite material as an isotropic, linear-elastic medium and focus on improving the computational efficiency through efficient grid partitioning techniques.We used MPI (Message Passing Interface) technology on a high-performance computing cluster to test different methods for distributing computational grids across multiple processes. Our results highlight that partitioning grids according to material fiber layers improves the performance, especially when the number of processes matches the number of composite layers. This method not only provides better load balancing but also reduces communication overhead, making it the most efficient strategy tested. We present a comprehensive comparison of execution times and speedups for different partitioning approaches. Future work will aim to extend the study by increasing the number of layers and exploring how this approach scales with more complex and heterogeneous microstructures, potentially identifying further optimizations for parallel modeling.