Inscrição na biblioteca: Guest
Portal Digital Begell Biblioteca digital da Begell eBooks Diários Referências e Anais Coleções de pesquisa
International Journal for Uncertainty Quantification
Fator do impacto: 3.259 FI de cinco anos: 2.547 SJR: 0.417 SNIP: 0.8 CiteScore™: 1.52

ISSN Imprimir: 2152-5080
ISSN On-line: 2152-5099

Open Access

International Journal for Uncertainty Quantification

DOI: 10.1615/Int.J.UncertaintyQuantification.2013005436
pages 95-110

ENABLING THE ANALYSIS OF FINITE ELEMENT SIMULATION BUNDLES

Rodrigo Iza Teran
Fraunhofer Institute for Scientific Computing, 53757 Sankt Augustin, Germany

RESUMO

We propose a methodology capable of allowing a fast evaluation of thousands of finite element design variants simultaneously. This approach uses a high dimensional analysis concept, namely diffusion maps, that has been in use successfully for years in many areas of science. Using feature vectors from a bundle of finite element simulations containing information on the design variables on different mesh sizes and applying this analysis concept is the purpose of this paper. Applying this approach enables the identification of a set of parameters (reduction coordinates) along which (i) geometrical variants can be identified and (ii) for random time-dependent problems, slow variables can be identified that show the variables with the most significant impact on a design. We demonstrate the application of this approach in several industrial examples in the areas of metal forming and vibration analysis as well as vehicle crash simulation, which is a noisy stochastic process. Finally, we show per example that this approach can identify and expound on the occurrence of a bifurcation point, a very important issue in vehicle design.


Articles with similar content:

Bayesian Recognition Procedures on Networks
Journal of Automation and Information Sciences, Vol.42, 2010, issue 11
Alexandra A. Vagis
TOPOLOGY ENHANCEMENT OF PLATE AND FIN HEAT EXCHANGERS USING A DISCRETE POROUS MEDIA SIMULATION APPROACH
4th Thermal and Fluids Engineering Conference, Vol.5, 2019, issue
Samer Wakim, Boutros Ghannam, B. Zeghondy, C. Bouallou, Maroun Nemer
ALGORITHMS FOR INTERVAL NEUTROSOPHIC MULTIPLE ATTRIBUTE DECISION-MAKING BASED ON MABAC, SIMILARITY MEASURE, AND EDAS
International Journal for Uncertainty Quantification, Vol.7, 2017, issue 5
Jingguo Dai, Xindong Peng
MODELING HETEROGENEITY IN NETWORKS USING POLYNOMIAL CHAOS
International Journal for Multiscale Computational Engineering, Vol.14, 2016, issue 3
Ioannis G. Kevrekidis, Carlo R. Laing, Constantinos I. Siettos, Karthikeyan Rajendran, Andreas C. Tsoumanis
ON TWO-SCALE ANALYSIS OF HETEROGENEOUS MATERIALS BY MEANS OF THE MESHLESS FINITE DIFFERENCE METHOD
International Journal for Multiscale Computational Engineering, Vol.14, 2016, issue 2
Sławomir Milewski, Irena Jaworska