Toward the implementation of automated analysis idealization control
Proceedings of the third ARO workshop on Adaptive methods for partial differential equations
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Knowledge-Based Assistance for Finite-Element Modeling
IEEE Expert: Intelligent Systems and Their Applications
An efficient algorithm for 3D adaptive meshing
Advances in Engineering Software - Engineering computational technology
Alternative mesh optimality criteria for h-adaptive finite element method
Finite Elements in Analysis and Design
Adaptive mesh refinement for the control of cost and quality in finite element analysis
Finite Elements in Analysis and Design
Fuzzy logic-based expert system to predict the results of finite element analysis
Knowledge-Based Systems
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This paper overviews a systematic approach for minimizing the time required for finite element analysis (FEA) while achieving a desired level of accuracy in the simulations. The framework uses the design of experiments (DOE) method in the process as a guide in determining the level of detail needed in the modelling effort to achieve the desired level of accuracy. From the reuse of previously validated analysis components, the automated method supports the selection of the physical model and an adapted mesh to be simulated in order to control the cost (time) and the quality of the whole FEA.