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Researchers from Shenzhen MSU-BIT University have developed an innovative computational algorithm that enhances the efficiency of peridynamics, a theory for modeling fractures and material damage, by up to 800 times. This breakthrough significantly accelerates large-scale material simulations, which are crucial in aerospace, civil engineering, and defense, according to Associate Professor Yang Yang and her research team.
The traditional peridynamics simulations are known to be slow and resource-intensive. However, utilizing Nvidia's CUDA technology, the new PD-General framework optimizes both algorithm design and memory management, achieving performance improvements over standard methods.
In tests, the enhanced framework processed millions of iterations efficiently, completing complex simulations on consumer-grade GPUs rather than requiring expensive high-performance computing clusters. This development not only streamlines material analysis across multiple industries but also reduces reliance on restricted foreign technology amid current global trade restrictions. The findings were published in the Chinese Journal of Computational Mechanics on January 8, 2025.