Biologically inspired adaptive crack network reconstruction based on slime mould algorithm.

ABSTRACT: The dynamic crack propagation trajectories play a crucial role in enhancing our understanding of spatial mechanisms involved in crack expansion. However, visualization of internal cracks under complex crack conditions has always been a challenge. Biological networks have been honed by many cycles of evolutionary selection pressure and are likely to yield reasonable solutions to such combinatorial optimization problems. This study applied the slime mould algorithm to improve the accuracy of internal crack localization in rocks and employed Minimum spanning tree and Gaussian mixture model to construct the crack propagation trajectories. By introducing the concept of bond length, the evolution characteristics of crack levels were effectively characterized. Research results showed that this ap

SUBMITTER: Chen Z 

PROVIDER: S-EPMC11542014 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature