Evaluating the Quality of Finite Element Meshes with Machine Learning
This addresses the problem of automating mesh quality assessment for engineers in structural mechanics, but it is incremental as it adapts existing methods to a specific domain.
This paper tackles the problem of evaluating finite element mesh quality for structural mechanics simulations by applying a machine learning model trained on expert data, achieving promising results as demonstrated by experimental industry data.
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.