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Complexity science of multiscale materials via stochastic computations
Northwestern University, Department of Mechanical Engineering, Evanston, IL.
University of Reims.
Northwestern University, Department of Mechanical Engineering, Evanston, IL.
Northwestern University, Department of Mechanical Engineering, Evanston, IL.
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Number of Authors: 142009 (English)In: International Journal for Numerical Methods in Engineering, ISSN 0029-5981, E-ISSN 1097-0207, Vol. 80, no 6-7, p. 932-978Article in journal (Refereed) Published
Abstract [en]

New technological advances today allow for a range of advanced composite materials, including multilayer materials and nanofiber-matrix composites. In this context, the key to developing advanced materials IS file understanding of the interplay between the various physical scales present. from the atomic level Interactions to the microstructaral composition and the marcoscale behavior Using the developing 'multiresolution data sets mechanics' the 'predictive science-based governing laws of the materials microstructure evolutions' are derived and Melted into a 'stochastic multiresolution design framework' Under such a framework. the governing laws Of the materials microstructure evolution will be essential to assess, across multiple scales. The impact of multiscale material design. geometry design of a structure and the manufacturing process conditions, by following the cause-effect relationship from structure property and then to performance The future Integrated multiscale analysis system will be Constructed based on a probabilistic complexity science-based mathematical framework. its verification, validation and uncertainty quantification tire done through carefully designed experiments, and file life-cycled materials design for products design and manufacturing is performed through the use of petascale computing. The various techniques of microstructure reconstruction result in the genetation of model microstructures that, at some level, has the same statistical properties as the real heterogenous media. Having reconstructed the heterogeneous medium. one can then evaluate Its effective properties via direct numerical simulation and compare these values with experimentally measured properties of the actual medium. The proposed analysis will be dynamic in nature to capture the multi-stage historical evolvement of material/structure performance over the life span of a product. In addition to providing more accurate assessment of structure performance with stochastic multiscale analysis. our development will provide the capability of predicting failures and system reliability to enable more reliable design and decisions in product development.

Place, publisher, year, edition, pages
2009. Vol. 80, no 6-7, p. 932-978
National Category
Other Materials Engineering
Research subject
Material Mechanics
Identifiers
URN: urn:nbn:se:ltu:diva-11399DOI: 10.1002/nme.2578ISI: 000271559400013Scopus ID: 2-s2.0-70350410100Local ID: a5b67430-d5ad-11de-bae5-000ea68e967bOAI: oai:DiVA.org:ltu-11399DiVA, id: diva2:984349
Note

Validerad; 2009; 20091120 (ysko)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Lindgren, Lars-Erik

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