Extraordinarily high fractocohesive lengths in polymer-like networks

The failure resistance of polymer networks dictates their utility as material candidates across industries. However, relating the key length scales driving crack growth to molecular mechanisms remains a key bottleneck in predicting and designing against fracture. The fractocohesive length—defined in terms of the ratio of fracture energy to the specific work to rupture—of a material correlates with the length scale of energy dissipation and controls fracture resistance. Although the Lake–Thomas model predicts the fractocohesive length of a perfect polymer network to match the undeformed mesh size, real soft materials exhibit values that far exceed this prediction. Here, we report extraordinarily high fractocohesive lengths in polymer-like networks with and without defects. We find that even perfect networks can have fractocohesive lengths orders of magnitude higher than the undeformed mesh size due to highly nonlinear chain behavior giving rise to nonlocal effects during fracture. Introducing defects further increases the fractocohesive length. We identify quantitative relations between nonlinear chain mechanics, defect length, defect density, and fractocohesive length. Overall, strain-stiffening chain behavior, defect density, and defect size independently correlate with larger fractocohesive lengths in polymer-like networks, and their individual effects can be collapsed into a single power law scaling. These outcomes point the way towards improved physics-informed design of soft yet tough polymers and metamaterials.

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Publication Details

Journal
Mathematics and Mechanics of Solids
Published
2026-03-03
DOI
https://doi.org/10.1177/10812865261420397
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
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article

Extraordinarily high fractocohesive lengths in polymer-like networks

Bolei Deng, Xuanhe Zhao, Shu Wang, Gareth H. McKinley et al.
Mathematics and Mechanics of Solids
Polymer composites and self-healing
article

Extraordinarily high fractocohesive lengths in polymer-like networks

Bolei Deng, Xuanhe Zhao, Shu Wang, Gareth H. McKinley, Chase M. Hartquist, Sanketh Challagulla
article en

Abstract

The failure resistance of polymer networks dictates their utility as material candidates across industries. However, relating the key length scales driving crack growth to molecular mechanisms remains a key bottleneck in predicting and designing against fracture. The fractocohesive length—defined in terms of the ratio of fracture energy to the specific work to rupture—of a material correlates with the length scale of energy dissipation and controls fracture resistance. Although the Lake–Thomas model predicts the fractocohesive length of a perfect polymer network to match the undeformed mesh size, real soft materials exhibit values that far exceed this prediction. Here, we report extraordinarily high fractocohesive lengths in polymer-like networks with and without defects. We find that even perfect networks can have fractocohesive lengths orders of magnitude higher than the undeformed mesh size due to highly nonlinear chain behavior giving rise to nonlocal effects during fracture. Introducing defects further increases the fractocohesive length. We identify quantitative relations between nonlinear chain mechanics, defect length, defect density, and fractocohesive length. Overall, strain-stiffening chain behavior, defect density, and defect size independently correlate with larger fractocohesive lengths in polymer-like networks, and their individual effects can be collapsed into a single power law scaling. These outcomes point the way towards improved physics-informed design of soft yet tough polymers and metamaterials.

Mathematics and Mechanics of Solids
Georgia Institute of Technology (US), University of Florida (US), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 25%
Polymer composites and self-healing
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Extraordinarily high fractocohesive lengths in polymer-like networks — Bolei Deng, Xuanhe Zhao, et al. · Mathematics and Mechanics of Solids (2026) | TGRS Research Map | TGRS