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20132022
most citedMultiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

177 citations · 431 across the 12 of their papers we have counts for

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physics.geo-ph2022

Fault friction under thermal pressurization during large coseismic-slip Part II: Expansion to the model of frictional slip

Alexandros Stathas, Ioannis Stefanou

In Stathas and Stefanou (2022) we presented the frictional response of a bounded fault gouge under largecoseismic slip. We did so by taking into account the evolution of the Princi…

physics.geo-ph2022★ 2 cited

Fault friction under thermal pressurization during large coseismic-slip Part I: Numerical analyses

Alexandros Stathas, Ioannis Stefanou

In this paper, we study the role of thermal pressurization in the frictional response of a fault under large coseismic slip. We investigate the role of the seismic slip velocity, m…

physics.geo-ph2021★ 2 cited

Controlling earthquake-like instabilities using artificial intelligence

Efthymios Papachristos, Ioannis Stefanou

Earthquakes are lethal and costly. This study aims at avoiding these catastrophic events by the application of injection policies retrieved through reinforcement learning. With the…

physics.geo-ph2020★ 1 cited

Control instabilities and incite slow-slip in generalized Burridge-Knopoff models

Ioannis Stefanou

Generalized Burridge-Knopoff (GBK) models display rich dynamics, characterized by instabilities and multiple bifurcations. GBK models consist of interconnected masses that can slid…

physics.geo-ph2013★ 140 cited

Seismic reliability assessment of classical columns subjected to near-fault ground motions

Ioannis Psycharis, Michalis Fragiadakis, Ioannis Stefanou

A methodology for the performance-based seismic risk assessment of classical columns is presented. Despite their apparent instability, classical columns are, in general, earthquake…