4.7 Article

Stochastic chemo-physical-mechanical degradation analysis on hydrated cement under acidic environments

Journal

APPLIED MATHEMATICAL MODELLING
Volume 78, Issue -, Pages 75-97

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2019.10.012

Keywords

Accelerated leaching; Chemo-physical-mechanical analysis; Machine learning; Uncertainty quantification

Funding

  1. Australian Research Council [DP160102919, IH150100006]

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The accumulation of material degradation under contact with aggressive aqueous environments could lead to reduced structural reliability. In terms of hydrated cementitious materials, such interactions often result in the chemo-physical-mechanical (CPM) degradation, which represents a multiphysics process of high non-linearity and complexity. By further considering the inevitable uncertainties associated with both the materials and the serving conditions, solving such a process requires novel probabilistic approaches. This paper presents a stochastic chemo-physical-mechanical (SCPM) degradation analysis on the hydrated cement under acidic environment. The SCPM analysis consists of modelling the stochastic chemophysical degradation by finite element method, and assessing the mechanical deterioration through analytical micromechanics. The proposed modelling framework couples the conventional Monte Carlo Simulation with a novel support vector regression algorithm. The present method is able to not only address the detailed degradation mechanisms, but also ensure low computational costs for an accurate SCPM degradation assessment. (C) 2019 Elsevier Inc. All rights reserved.

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