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International Journal for Multiscale Computational Engineering
Fator do impacto: 1.016 FI de cinco anos: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Imprimir: 1543-1649
ISSN On-line: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.2017024632
pages 525-543

A SURROGATE MODELING APPROACH FOR ADDITIVE-MANUFACTURED MATERIALS

Haohui Xin
Department of Bridge Engineering, Tongji University, Shanghai, China; Department of Civil Engineering and Engineering Mechanics, Columbia University in the City of New York, New York, USA
WaiChing Sun
Department of Civil Engineering and Engineering Mechanics, Columbia University in the City of New York, New York, USA
Jacob Fish
Civil Engineering and Engineering Mechanics, Columbia University, New York, New York 10027, USA

RESUMO

We introduce a surrogate modeling approach to approximate the mechanical responses of objects manufactured by 3D printers. In particular, we propose a systematic procedure where material parameters of the low-fidelity orthotropic Gurson-Tvergaard-Needleman (GTN) model are inferred from microstructures generated from the high-fidelity discrete element simulations that replicate the additive-manufactured procedure. The calibrated low-fidelity model is validated against experimental data.