Technological progress and discovery and mastery of increasingly sophisticated structural materials have been inexorably tied together since the dawn of history. In the present era the so-called Space Age -, the prevailing
trend is to design and create new materials, or improved existing ones, by meticulously altering and controlling structural features that span across all types of length scales: the ultimate aim is to achieve macroscopic proper-
ties (yield strength, ductility, toughness, fatigue limit . . . ) tailored to given practical applications. Research efforts in this aspect range in complexity from the creation of structures at the scale of single atoms and molecules
the realm of nanotechnology , to the more mundane, to the average civil and mechanical engineers, development of structural materials by changing the composition, distribution, size and topology of their constituents at the
microscopic/mesoscopic level (composite materials and porous metals, for instance).
High-performance model reduction procedures in multiscale simulations
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Monograph
Authors: J. A. Hernández, X. Oliver, A. E. Huespe, M. CaicedoISBN: 978-84-9939640-6-1
Editorial: CIMNE
Year of publication: 2012
Pages: 102
Index: Introduction, State of the art, Standard reduced-order modeling (ROM) of the RVE problem, Hyperreduced-order modeling (HROM) of the RVE, Assessment of approximation errors: a case study, The Singular Value Decomposition (SVD), Influence of mesh refinement on the truncation error, Selection of sample points, References
SKU: M127
Category: Fluid Flow and Heat Transfer
Tags: A. E. Huespe, J. A. Hernández, M. Caicedo, X. Oliver
Monograph
Authors: J. A. Hernández, X. Oliver, A. E. Huespe, M. CaicedoISBN: 978-84-9939640-6-1
Editorial: CIMNE
Year of publication: 2012
Pages: 102
Index: Introduction, State of the art, Standard reduced-order modeling (ROM) of the RVE problem, Hyperreduced-order modeling (HROM) of the RVE, Assessment of approximation errors: a case study, The Singular Value Decomposition (SVD), Influence of mesh refinement on the truncation error, Selection of sample points, References