Quantifying the Features of an Amorphous Solid's Local Yield Surface
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866911524311793664 |
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| author | Fajardo, Spencer Desmarchelier, Paul Patinet, Sylvain Falk, Michael L. |
| author_facet | Fajardo, Spencer Desmarchelier, Paul Patinet, Sylvain Falk, Michael L. |
| contents | In two-dimensional Lennard-Jones glasses, mechanical probing reveals that local yield surfaces are dominated by regions with a positive second derivative of the yield stress with respect to the loading angle. Each feature corresponds to a shear transformation zone and a characteristic non-affine displacement field at yield. Most features are well described by a combined Schmid-Mohr-Coulomb criterion parameterized by a weak-plane orientation, a critical stress, and a pressure sensitivity. The resulting parameter statistics clarify how the onset of plastic flow is governed by the population of discrete yielding features encoded in the amorphous structure. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2603_16905 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Quantifying the Features of an Amorphous Solid's Local Yield Surface Fajardo, Spencer Desmarchelier, Paul Patinet, Sylvain Falk, Michael L. Soft Condensed Matter Disordered Systems and Neural Networks Materials Science In two-dimensional Lennard-Jones glasses, mechanical probing reveals that local yield surfaces are dominated by regions with a positive second derivative of the yield stress with respect to the loading angle. Each feature corresponds to a shear transformation zone and a characteristic non-affine displacement field at yield. Most features are well described by a combined Schmid-Mohr-Coulomb criterion parameterized by a weak-plane orientation, a critical stress, and a pressure sensitivity. The resulting parameter statistics clarify how the onset of plastic flow is governed by the population of discrete yielding features encoded in the amorphous structure. |
| title | Quantifying the Features of an Amorphous Solid's Local Yield Surface |
| topic | Soft Condensed Matter Disordered Systems and Neural Networks Materials Science |
| url | https://arxiv.org/abs/2603.16905 |