Multiscale computational homogenization of woven composites from microscale to mesoscale using data-driven self-consistent clustering analysis
Abstract
Compared with the traditional phenomenological method, the multiscale simulation has significant advantages. This paper presents a methodology and computational homogenization framework to predict the macroscale behavior of woven composites based on fiber and matrix in microscale. The major challenge conducting multiscale analysis is the huge computational cost. To improve the efficiency, one of the reduced order models, which is called the...
Paper Details
Title
Multiscale computational homogenization of woven composites from microscale to mesoscale using data-driven self-consistent clustering analysis
Published Date
Jul 1, 2019
Journal
Volume
220
Pages
760 - 768
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