five

Simulation of sheared granular layers activated by fluid pressurization

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.wh70rxwnf
下载链接
链接失效反馈
官方服务:
资源简介:
Fluid pressurization of critically stressed sheared zones can trigger slip mechanisms at play in many geological rupture processes, including earthquakes or landslides. The increasing fluid pressure reduces the effective stress, giving possibility to the shear zone to reactivate. Nonetheless, the mechanisms that dictate the mode of slip, from aseismic steady creep to seismic dynamic rupture, remain poorly understood. By using discrete element modeling, we simulate pore-pressure-step creep test experiments on a sheared granular layer under a sub-critical stress state. The goal is to investigate the micromechanical processes at stake during fluid induced reactivation. The global simulated response is consistent with both laboratory and in situ experiments. In particular, the progressive increase of pore pressure promotes slow steady slip at sub-critical stress states (creep), and fast accelerated dynamic slip once the critical strength is overcome (rupture). The analyses of both global and local quantities show that these two emergent slip behaviors correlate to characteristic deformation modes: diffuse deformation during creep, and highly localized deformation during rupture. Our results suggest that the fabric of pressurized shear zones controls their emergent slip behavior. In particular, rupture results from grain rotations initiating from overpressure induced unlocking of interparticle contacts mostly located within the shear band, which, as a consequence, acts as a roller bearing for the surrounding bulk. Methods The first script prepares a sheared sample that represents a fault. The second script starts the fluid injection test and collects data. The raw data contain information of boundary stresss, contact stress, displacements of the sample during the fluid injection.
创建时间:
2021-05-31
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作