Destructive earthquakes every so often take us by surprise, because observations reveal a complex and opaque pattern of earthquake recurrence. Unraveling this pattern is challenging as the recurrence of large destructive earthquakes in nature is hardly observed. Some intermediate to large size earthquakes are observed to revisit the same fault (e.g., Chlieh et al., 2004;Prawirodirdjo et al., 2010;Segall & Harris, 1987). However, despite limited borehole data, these and most other natural observations are largely confined to the earth's surface, such that they remain indirect and at a distance to the hypocenter and thus often require inverse modeling to interpret. Earthquakes can also be generated quasi-periodically in large-scale laboratory experiments (e.g., McLaskey & Lockner, 2014;Rosenau et al., 2009) while these experiments are restricted to their millimeter to meter scale, such that they require a challenging upscaling step to interpret their findings. To complement our observations in nature and in laboratories, we need a quantitative description of the multi-physics, multi-scale processes