Defect screening and load transfer in minimal hard-soft double networks
Fucheng Tian, Feixue Lu, Katsuhiko Sato, Liangbin Li, Bin Li, Jian Ping Gong

TL;DR
This study demonstrates that a minimal 3D model of coupled disordered linear-elastic networks can replicate the complex nonlinear mechanics of double network materials, revealing defect screening as key to their toughness.
Contribution
A simple linear-elastic model captures the essential physics of double network nonlinear mechanics, linking defect screening to macroscopic failure behavior.
Findings
Hard-soft contrast drives load transfer and defect screening.
Failure strain scales inversely with stress-concentration factor.
Complete defect screening shifts damage from localized to delocalized.
Abstract
Double network (DN) materials exhibit anomalous strength and toughness that far exceed the sum of their constituents. While widely exploited, the fundamental physical mechanisms underlying this synergy remain elusive. Here, we show that a minimal three-dimensional model of two coupled, disordered linear-elastic networks is sufficient to capture the essential physics of DN nonlinear mechanics. The model reproduces the full suite of unique mechanical behaviors, including yielding, necking, strain hardening, and the brittle-to-ductile transition. Mechanical contrast between the hard and soft networks drives inter-network load transfer, which screens defects and suppresses stress concentrations in the hard network. By defining a stress-concentration factor, K_sc, we find that the hard-network failure strain scales universally as 1/K_sc, directly bridging microscopic defect screening to…
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