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.

翻译：本文介绍了一种用于调试有限元（FE）仿真模型错误的无监督学习算法，并详细阐述了其工程化实现过程。该算法利用刚度矩阵邻接性的数值特性，对有限元模型中的自由度进行聚类。该算法已作为名为“模型稳定性分析”工具部署于商业结构有限元套件Oasys GSA（www.oasys-software.com/gsa）中。该工具已被最终用户成功应用于调试实际有限元模型，文中展示了该工具的典型应用案例。