Differential scheme-based stochastic micromechanical framework for saturated concrete repaired by EDM
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A stochastic micromechanical framework is proposed to quantitatively characterize the probabilistic behavior of the saturated concrete healed by the electrochemical deposition method (EDM). Multiphase micromechanical representation for the healed saturated concrete is presented based on the material’s microstructures. Differential scheme-based multilevel homogenization procedures are proposed to quantitatively predict the effective properties of the repaired concrete. The material microstructures are characterized by the non-stationary random process and random variables. The probabilistic behavior for the repaired concrete is reached with high computational efficiency by incorporating the dimensional decomposition method and Newton interpolations. The predictions obtained by the proposed stochastic micromechanical framework are then compared with the available experimental data, existing models, and direct Monte Carlo simulations, which indicates that the presented stochastic micromechanical framework is computationally efficient and capable of characterizing for the probabilistic behavior of saturated concrete repaired by EDM considering the inherent randomness. Finally, the influences of the deposition products and healing degrees on the probabilistic behavior of repaired concrete are discussed based on the proposed models.
This work is supported by National Key Research and Development Plan (2018YFC0705400, 2017YFC0704004). This work is also supported by the National Natural Science Foundation of China (51508404, 51478348, 51278360, 51308407, U1534207), the Funds of Fundamental Research Plan for the Central Universities in Chang’an University (300102218511), the 1000 Talents Plan Short-Term Program by the Organization Department of the Central Committee of the CPC, the Funds of Fundamental Research Plan for the Central Universities.
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Conflict of interest
All authors declare that they have no conflict of interest.
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