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- W2891908071 abstract "In this contribution, we present a new Materials Knowledge System framework for microstructure-sensitive predictions of effective stress–strain responses in composite materials. The model is developed for composites with a wide range of combinations of strain hardening laws and topologies of the constituents. The theoretical foundation of the model is inspired by statistical continuum theories, leveraged by mean-field approximation of self-consistent models, and calibrated to data obtained from micromechanical finite element simulations. The model also relies on newly formulated data-driven linkages between micromechanical responses (phase-average strain rates and effective strength) and microstructure as well as strength contrast of the constituents. The paper describes in detail the theoretical development of the model, its implementation into an efficient computational plasticity framework, calibration of the linkages, and demonstration of the model predictions on two-phase composites with isotropic constituents exhibiting linear and power-law strain hardening laws. It is shown that the model reproduces finite element results reasonably well with significant savings of the computational cost." @default.
- W2891908071 created "2018-09-27" @default.
- W2891908071 creator A5027276858 @default.
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- W2891908071 date "2019-04-01" @default.
- W2891908071 modified "2023-10-09" @default.
- W2891908071 title "Materials knowledge system for nonlinear composites" @default.
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- W2891908071 doi "https://doi.org/10.1016/j.cma.2018.11.034" @default.
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