Case Based Reasoning Support for Adaptive Finite Element Analysis: Mesh Selection for an Integrated System

Abstract

An Adaptive Finite Element Analysis Integrated System supported through application of Case Based Reasoning (CBR) methodology is being proposed in this paper. The approach is fruitful for selection of an initial mesh from a library of solutions to initiate analysis process, as already tested optimal mesh will have lesser refinement iterations. The optimal mesh distribution, represented by object-oriented method, can be easily adapted to the topology of new problem in same domain. An integrated and universal structural analysis system models human reasoning by forming solutions through the retrieval and adaptation of successful strategies used in the past. Basic insight of two distinct subjects along with resolution of involved issues and integration strategy for development of an intelligent system is elaborated here. The research explains an algorithm for case retrieval and mesh generation procedures based on the principles of mapping method.

Finite-element analysis case retrieval based on an ontology semantic tree

“…The case-based reasoning (CBR) method that models the process of solving a problem by establishing the analogy relation between the current problem and previously solved problem(s) is proposed to facilitate the use of information from previously solved FEA cases (Wriggers et al, 2007; Zhao et al, 2009; Khan et al, 2014; Khan and Chaudhry, 2015). Wriggers et al (2007) proposed a knowledge-based system for the intelligent support of the preprocessing stage of engineering analysis in the contact mechanics domain.…”