  This paper addresses the problem of evaluating the quality of finite element
meshes for the purpose of structural mechanic simulations. It proposes the
application of a machine learning model trained on data collected from expert
evaluations. The task is characterised as a classification problem, where
quality of each individual element in a mesh is determined by its own
properties and adjacency structures. A domain-specific, yet simple
representation is proposed such that off-the-shelf machine learning methods can
be applied. Experimental data from industry practice demonstrates promising
results.
