| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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De Wolf, Frits A.
Wageningen University & Research
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (5/5 displayed)
- 2016Enhanced stiffness of silk-like fibers by loop formation in the corona leads to stronger gelscitations
- 2014Synergistic stiffening in double-fiber networkscitations
- 2013Disulfide bond-stabilized physical gels of an asymmetric collagen-inspired telechelic protein polymercitations
- 2009Polypeptide nanoribbon hydrogels assembled through multiple supramolecular interactionscitations
- 2009Precision gels from collagen-inspired triblock copolymerscitations
Places of action
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article
Synergistic stiffening in double-fiber networks
Abstract
Many biological materials are composite structures, interpenetrating networks of different types of fibers. The composite nature of such networks leads to superior mechanical properties, but the origin of this mechanical synergism is still poorly understood. Here we study soft composite networks, made by mixing two self-assembling fiber-forming components. We find that the elastic moduli of the composite networks significantly exceed the sum of the moduli of the two individual networks. This mechanical enhancement is in agreement with recent simulations, where it was attributed to a suppression of non-affine deformation modes in the most rigid fiber network due to the reaction forces in the softer network. The increase in affinity also causes a loss of strain hardening and an increase in the critical stress and stain at which the network fails.