Athermal Fracture of Elastic Networks: How Rigidity Challenges the Unavoidable Size-Induced Brittleness
By performing extensive simulations with unprecedentedly large system sizes, we unveil how rigidity influences the fracture of disordered materials. We observe the largest damage in networks with connectivity close to the isostatic point and when the rupture thresholds are small. However, irrespective of network and spring properties, a more brittle fracture is observed upon increasing system size. Differently from most of the fracture descriptors, the maximum stress drop, a proxy for brittleness, displays a universal nonmonotonic dependence on system size. Based on this uncommon trend it is possible to identify the characteristic system size L∗ at which brittleness kicks in. The more the disorder in network connectivity or in spring thresholds, the larger L∗. Finally, we speculate how this size-induced brittleness is influenced by thermal fluctuations.
Main Authors: | , , |
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | Life Science, |
Online Access: | https://research.wur.nl/en/publications/athermal-fracture-of-elastic-networks-how-rigidity-challenges-the |
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Summary: | By performing extensive simulations with unprecedentedly large system sizes, we unveil how rigidity influences the fracture of disordered materials. We observe the largest damage in networks with connectivity close to the isostatic point and when the rupture thresholds are small. However, irrespective of network and spring properties, a more brittle fracture is observed upon increasing system size. Differently from most of the fracture descriptors, the maximum stress drop, a proxy for brittleness, displays a universal nonmonotonic dependence on system size. Based on this uncommon trend it is possible to identify the characteristic system size L∗ at which brittleness kicks in. The more the disorder in network connectivity or in spring thresholds, the larger L∗. Finally, we speculate how this size-induced brittleness is influenced by thermal fluctuations. |
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