An adaptive stochastic inverse solver for multiscale characterization of composite materials. (15th August 2016)

• Record Type: Journal Article
• Authors: Hu, Nan; Fish, Jacob; McAuliffe, Colin
• Is Part Of: International journal for numerical methods in engineering. Volume 109:Number 12(2017)
• Page Start: 1679
• Page End: 1700
• Publication Date: 2016-08-15
• Subjects: multiscale -- inverse -- stochastic -- homogenization -- measure‐theoretic; Numerical analysis -- Periodicals; Engineering mathematics -- Periodicals; 620.001518
• DOI: 10.1002/nme.5341
• Languages: English
• ISSNs: 0029-5981

Abstract

Summary: We present an adaptive variant of the measure‐theoretic approach for stochastic characterization of micromechanical properties based on the observations of quantities of interest at the coarse (macro) scale. The salient features of the proposed nonintrusive stochastic inverse solver are identification of a nearly optimal sampling domain using enhanced ant colony optimization algorithm for multiscale problems, incremental Latin‐hypercube sampling method, adaptive discretization of the parameter and observation spaces, and adaptive selection of number of samples. A complete test data of the TORAY T700GC‐12K‐31E and epoxy #2510 material system from the National Institute for Aviation Research report is employed to characterize and validate the proposed adaptive nonintrusive stochastic inverse algorithm for various unnotched and open‐hole laminates. Copyright © 2016 John Wiley & Sons, Ltd.