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Mesoscale bicontinuous networks in self-healing hydrogels delay fatigue fracture.

Xueyu LiKunpeng CuiTao Lin SunLingpu MengChengtao YuLiangbin LiCostantino CretonTakayuki KurokawaJian Ping Gong
Published in: Proceedings of the National Academy of Sciences of the United States of America (2020)
Load-bearing biological tissues, such as muscles, are highly fatigue-resistant, but how the exquisite hierarchical structures of biological tissues contribute to their excellent fatigue resistance is not well understood. In this work, we study antifatigue properties of soft materials with hierarchical structures using polyampholyte hydrogels (PA gels) as a simple model system. PA gels are tough and self-healing, consisting of reversible ionic bonds at the 1-nm scale, a cross-linked polymer network at the 10-nm scale, and bicontinuous hard/soft phase networks at the 100-nm scale. We find that the polymer network at the 10-nm scale determines the threshold of energy release rate G 0 above which the crack grows, while the bicontinuous phase networks at the 100-nm scale significantly decelerate the crack advance until a transition G tran far above G 0 In situ small-angle X-ray scattering analysis reveals that the hard phase network suppresses the crack advance to show decelerated fatigue fracture, and G tran corresponds to the rupture of the hard phase network.
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