A clustering tool for interrogating finite element models based on eigenvectors of graph adjacency

2023/10/24 by Ramaseshan Kannan, Kannan, Ramaseshan
Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Mechanical stress and fatigue analysis #Numerical Analysis (math.NA) #Structural Health Monitoring Techniques #Vibration and Dynamic Analysis #and Science (cs.CE)

paper · pdf · doi:10.48550/arxiv.2310.16249

openalex publication_date 2023/10/24 · openalex created_date 2023/10/27 · openalex updated_date 2026/07/28

Abstract

This note introduces an unsupervised learning algorithm to debug errors in finite element (FE) simulation models and details how it was productionised. The algorithm clusters degrees of freedom in the FE model using numerical properties of the adjacency of its stiffness matrix. The algorithm has been deployed as a tool called `Model Stability Analysis' tool within the commercial structural FE suite Oasys GSA (www.oasys-software.com/gsa). It has been used successfully by end-users for debugging real world FE models and we present examples of the tool in action.

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