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DOE OSTI · 3363367

Capturing the fractocohesive length scale in elastomers through a statistical mechanics-based gradient enhanced damage model

Abstract

Here, this study aims to examine modeling flaw sensitivity in elastomers. The direct incorporation of polymer chain statistical mechanics considerations into a continuum stretch-based gradient-enhanced damage formulation, in turn, allows a representation of diffuse chain damage and fracture events that align with known micromechanical mechanisms. Through a series of numerical experiments, we simulate crack propagation and extract the fracture energy as an output of the model, while keeping track of the micromechanical signatures of diffuse chain damage that accommodate fracture propagation and eventually influence flaw sensitivity. Finally, by combining the fracture toughness and the work to rupture, we identify a fractocohesive length of the material, corresponding to the full width of the damage process zone. As the damage-to-fracture cascade in the proposed GED model is influenced by the introduction of a length scale associated with network imperfection and long-range load transfer, the emerging relationship of the two length scales is discussed, providing a potential link between microscopic damage mechanisms and the observed macroscopic fracture response.

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BibTeXRIS

Mousavi, S. Mohammad [Cornell Univ., Ithaca, NY (United States)] (ORCID:000000018980845X), Mulderrig, Jason [Air Force Research Lab. (AFRL), Wright-Patterson AFB, OH (United States); National Academy of Sciences, Washington, DC (United States)] (ORCID:0000000204698122), Talamini, Brandon [Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)] (ORCID:0000000294493728), Bouklas, Nikolaos [Cornell Univ., Ithaca, NY (United States); Pasteur Labs, Brooklyn, NY (United States)] (ORCID:0000000233495914). 2026-01-10. Capturing the fractocohesive length scale in elastomers through a statistical mechanics-based gradient enhanced damage model. https://doi.org/10.1016/j.jmps.2026.106504

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36 MATERIALS SCIENCE