Abstract
SummaryA two‐scale parameter identification approach is investigated. The microscopic material parameters of a two‐scale model are identified by comparing macroscopic simulation data with macroscopic full‐field measurements of the micro‐structured specimen. Gradient‐based solution strategies are employed for the optimization problem of the two‐scale parameter identification. In particular, two approaches for the gradient calculation are investigated: the finite difference method is compared with a newly introduced semi‐analytical scheme. The focus lies on the identification of microscopic elastoplastic material parameters. The presented identification example with artificial data confirms a reduced computational effort and advantageous convergence for the semi‐analytical approach within the two‐scale parameter identification. A drawback is the increase in memory requirement. Copyright © 2015 John Wiley & Sons, Ltd.
Published Version
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