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Abstract
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.
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
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.
