{"title":"Self-organization and memory in a cyclically driven elasto-plastic model of an amorphous solid","authors":"Dheeraj Kumar, Muhittin Mungan, Sylvain Patinet, Damien Vandembroucq","doi":"arxiv-2409.07621","DOIUrl":null,"url":null,"abstract":"The mechanical behavior of disordered materials such as dense suspensions,\nglasses or granular materials depends on their thermal and mechanical past.\nHere we report the memory behavior of a quenched mesoscopic elasto-plastic\n(QMEP) model. After prior oscillatory training, a simple read-out protocol\ngives access to both the training protocol's amplitude and the last shear\ndirection. The memory of direction emerges from the development of a mechanical\npolarization during training. The analysis of sample-to-sample fluctuations\ngives direct access to the irreversibility transition. Despite the quadrupolar\nnature of the elastic interactions in amorphous solids, a behavior close to\nReturn Point Memory (RPM) is observed. The quasi RPM property is used to build\na simple Preisach-like model of directional memory.","PeriodicalId":501146,"journal":{"name":"arXiv - PHYS - Soft Condensed Matter","volume":"82 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Soft Condensed Matter","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The mechanical behavior of disordered materials such as dense suspensions,
glasses or granular materials depends on their thermal and mechanical past.
Here we report the memory behavior of a quenched mesoscopic elasto-plastic
(QMEP) model. After prior oscillatory training, a simple read-out protocol
gives access to both the training protocol's amplitude and the last shear
direction. The memory of direction emerges from the development of a mechanical
polarization during training. The analysis of sample-to-sample fluctuations
gives direct access to the irreversibility transition. Despite the quadrupolar
nature of the elastic interactions in amorphous solids, a behavior close to
Return Point Memory (RPM) is observed. The quasi RPM property is used to build
a simple Preisach-like model of directional memory.