Error estimates of upscaled poroelastic models in thin domains for hybrid modeling via heterogeneous domain decomposition

Abstract Knowledge-driven model reduction techniques, such as asymptotic reduction and averaging, are widely employed to simplify the computational complexity of multiphysics systems exhibiting scale separation. In this work, we analyse a vertically averaged biphasic model for thin poroelastic materials and derive error estimates to assess its accuracy and identify key error sources. In particular, we focus on errors arising due to small-scale heterogeneity or transient small-scale dynamics. By