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International Journal for Multiscale Computational Engineering
Factor de Impacto: 1.016 Factor de Impacto de 5 años: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Imprimir: 1543-1649
ISSN En Línea: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2013005939
pages 253-287


Pierre Kerfriden
Institute of Mechanics and Advanced Materials, Theoretical and Computational Mechanics, Cardiff University, Cardiff, CF24 3AA, United Kingdom
K. M. Schmidt
Cardiff University, School of Mathematics, Senghennydd Road, Cardiff CF24 4AG, Wales, United Kingdom
Timon Rabczuk
Institute of Structural Mechanics, Bauhaus-Universitat Weimar, Marienstr. 15, D-99423 Weimar, Germany
S. P. A. Bordas
Institute of Mechanics and Advanced Materials, Theoretical and Computational Mechanics, Cardiff University, Cardiff, CF24 3AA, United Kingdom


We propose to identify process zones in heterogeneous materials by tailored statistical tools. The process zone is redefined as the part of the structure where the random process cannot be correctly approximated in a low-dimensional deterministic space. Such a low-dimensional space is obtained by a spectral analysis performed on precomputed solution samples. A greedy algorithm is proposed to identify both process zone and low-dimensional representative subspace for the solution in the complementary region. In addition to the novelty of the tools proposed in this paper for the analysis of localized phenomena, we show that the reduced space generated by the method is a valid basis for the construction of a reduced-order model.


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