Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub


    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

    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.


    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.


    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

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page