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

Author(s):

J.G. Michopoulos
T. Furukawa
A. Iliopoulos

Year:

2010

Publication type:

Miscellaneous Publication

Primary Station(s):

Forest Products Laboratory

Source:

17th International Conference on Composite Materials, 2009 July 27-31, Edinburgh, UK. [Oxford] : Elsevier Ltd., c2010: [2] p.

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.

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.

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.
https://www.fs.usda.gov/treesearch/pubs/39504