Forest Products Laboratory

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

Author: Michopoulos, J.G.; Hermanson, John; Furukawa, T.; Iliopoulos, A.

Date: 2010

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.

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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Citation

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