4.6 Article

Computing the effective response of heterogeneous materials with thermomechanically coupled constituents by an implicit fast Fourier transform-based approach

Journal

Publisher

WILEY
DOI: 10.1002/nme.6579

Keywords

composites; FFT‐ based micromechanics; homogenization; thermomechanical coupling; viscoelasticity

Funding

  1. Deutsche Forschungsgemeinschaft [BO 1466/12-2, GRK 2078]

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Thermomechanical couplings are considered in multiscale approaches, and the effective thermomechanical behavior of composite materials is computed using fast Fourier transform (FFT) methods. A fast implicit staggered solution scheme is developed for the coupled problem, compatible with existing strain-based micromechanics solvers.
Thermomechanical couplings are present in many materials and should therefore be considered in multiscale approaches. Specific cases of thermomechanical behavior are the isothermal and the adiabatic regime, in which the behavior of real materials differs. Based on the consistent asymptotic homogenization framework for thermomechanically coupled generalized standard materials, the present work is devoted to computing the effective thermomechanical behavior of composite materials in the context of fast Fourier transform (FFT)-based micromechanics. Exploiting the homogeneity of the temperature on the microscale, we develop a fast implicit staggered solution scheme for the coupled problem, which is compatible to existing strain-based micromechanics solvers. Due to its implicit formulation, the algorithm permits large time steps for computations involving strong thermomechanical coupling. We investigate the performance of modern FFT-based algorithms combined with the proposed thermomechanical solution strategy. In this context, the Barzilai-Borwein method is identified as particularly efficient, inducing only a small overhead compared with the traditional isothermal setting. We demonstrate the effectiveness of the presented approach for short-fiber reinforced composites with viscoelastic matrix behavior.

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