A new algorithm utilizing graph theory has been developed to precisely segment and measure detonation cells from 3D pressure traces, a process termed detonation lattices. This novel approach aims to overcome the limitations of existing manual and 2D edge detection methods in detonation research. The algorithm achieved a 2% error rate on synthetic datasets and demonstrated its capability in analyzing 3D simulation data, revealing oblong cells aligned with the wave propagation axis and a larger dispersion in volume. While effective across diverse cellular geometries, the framework still faces challenges in reliably segmenting highly complex patterns, but it provides a robust foundation for future studies in triple-point collisions. AI
IMPACT This research offers a novel computational method for analyzing complex physical phenomena, potentially improving simulation accuracy and experimental data interpretation in fields like fluid dynamics.
RANK_REASON The cluster contains an academic paper detailing a new algorithm and its evaluation. [lever_c_demoted from research: ic=1 ai=0.4]
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