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  1. A framework for the automated data-driven constitutive characterization of composites

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    Author(s): J.G. Michopoulos; John Hermanson; T. Furukawa; A. Iliopoulos
    Date: 2010
    Source: 17th International Conference on Composite Materials, 2009 July 27-31, Edinburgh, UK. [Oxford] : Elsevier Ltd., c2010: [2] p.
    Publication Series: Miscellaneous Publication
    PDF: Download Publication  (512.79 KB)

    Description

    We present advances on the development of a mechatronically and algorithmically automated framework for the data-driven identification of constitutive material models based on energy density considerations. These models can capture both the linear and nonlinear constitutive response of multiaxially loaded composite materials in a manner that accounts for progressive damage.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Michopoulos, J.G.; Hermanson, J.C.; Furukawa, T.; Iliopoulos, A. 2010. A framework for the automated data-driven constitutive characterization of composites. In: 17th International Conference on Composite Materials, 2009 July 27-31, Edinburgh, UK. [Oxford] : Elsevier Ltd., c2010: [2] p.

    Keywords

    Composite materials, testing, mathematical models, forest products industry, automation, technological innovations, industrial robots, automatic machinery, deterioration, mechanical properties, robotics, algorithms, computer simulation, force, energy, inverse method, multi-axial loading, energy density, data-driven, constitutive behaviour, material characterization, progressive damage

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