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• W2095392541 endingPage "726" @default.
• W2095392541 startingPage "711" @default.
• W2095392541 abstract "Random percolation theory is a common basis for modelling intergranular phenomena such as cracking, corrosion or diffusion. However, crystallographic constraints in real microstructures dictate that grain boundaries are not assembled at random. In this work a Monte Carlo method is used to construct physically realistic networks composed of high-angle grain boundaries that are susceptible to intergranular attack, as well as twin-variant boundaries that are damage resistant. When crystallographic constraints are enforced, the simulated networks exhibit triple-junction distributions that agree with experiment and reveal the non-random nature of grain-boundary connectivity. The percolation threshold has been determined for several constrained boundary networks and is substantially different from the classical result of percolation theory; compared with a randomly assembled network, about 50-75% more resistant boundaries are required to break up the network of susceptible boundaries. Triple-junction distributions are also shown to capture many details of the correlated percolation problem and to provide a simple means of ranking microstructures." @default.
• W2095392541 created "2016-06-24" @default.
• W2095392541 creator A5009060646 @default.
• W2095392541 creator A5055304339 @default.
• W2095392541 creator A5074769235 @default.
• W2095392541 date "2003-01-01" @default.
• W2095392541 modified "2023-10-12" @default.
• W2095392541 title "Connectivity and percolation in simulated grain-boundary networks" @default.
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• W2095392541 doi "https://doi.org/10.1080/0141861021000056681" @default.
• W2095392541 hasPublicationYear "2003" @default.
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