International Journal for Multiscale Computational Engineering
MULTISCALE MODELING AND UNCERTAINTY QUANTIFICATION OF HETEROGENEOUS MATERIALS
Aristotle University of Thessaloniki
The increasing research activity for micro- and nano-scales over the last decade has significantly shown the need to account for disparate levels of uncertainty from various sources and across scales. Even over-refined deterministic approaches cannot account for the issue; the integration of stochastic and multiscale methodologies is required to provide a rational framework for uncertainty quantification and reliability analysis of heterogeneous materials. Facing the emergence of new advanced engineered materials, accurate stochastic modeling across multiple length scales becomes imperative.
The papers for this special issue are included in Volume 9, issues 3 and 4, 2011 of International Journal for Multiscale Computational Engineering and will focus on multiscale modeling and uncertainty quantification of heterogeneous materials. Particular emphasis is given to advanced computational methods which can greatly assist in tackling complex problems of multiscale stochastic material modeling. The papers can be grouped into several thematic topics that include homogenization and computation of effective elastic properties of random composites, development of computational models for large-scale heterogeneous microstructures, stochastic analysis and design of heterogeneous materials, and multiscale models for the simulation of fracture mechanisms in polycrystalline materials.
Volume 9, Issue 3 for the special issue consists of five papers that are devoted to the homogenization and computation of effective elastic properties of random composites.