2016
DOI: 10.1007/978-3-319-27996-1_6
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A Stochastic Multi-scale Approach for Numerical Modeling of Complex Materials—Application to Uniaxial Cyclic Response of Concrete

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“…are used for modeling wave propagation through materials [83,86,132,141,194], however, as mentioned previously, determining the parameters of these models sometimes becomes non-feasible because of either very large system size or very complex micro-structure (heterogeneity). In such cases, a statistical treatment of the heterogeneities in the media can assist in overcoming some of these difficulties [4,35,47,75]. Thinking on these lines leads to the proposition of developing stochastic models for various phenomena (dispersion, scattering attenuation, etc.)…”
Section: Stochastic Modelingmentioning
confidence: 99%
“…are used for modeling wave propagation through materials [83,86,132,141,194], however, as mentioned previously, determining the parameters of these models sometimes becomes non-feasible because of either very large system size or very complex micro-structure (heterogeneity). In such cases, a statistical treatment of the heterogeneities in the media can assist in overcoming some of these difficulties [4,35,47,75]. Thinking on these lines leads to the proposition of developing stochastic models for various phenomena (dispersion, scattering attenuation, etc.)…”
Section: Stochastic Modelingmentioning
confidence: 99%