4.6 Article

Transient meshless boundary element method for prediction of chloride diffusion in concrete with time dependent nonlinear coefficients

Journal

ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
Volume 36, Issue 2, Pages 104-111

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.enganabound.2011.08.005

Keywords

Meshless boundary element method; Chloride diffusion; Time dependent coefficient; Concentration coupled coefficient; Concrete structural durability

Funding

  1. National Basic Research Program of China [2009CB623202]
  2. Specialized Research Fund for the Doctoral Program of Higher Education, China [20100092110049]
  3. Priority Academic Program Development of Jiangsu Higher Education Institutions, China

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Chloride-induced corrosion of steel reinforcements has been identified as one of the main causes of deterioration of concrete structures. A feasible numerical method is required to predict chloride penetration in concrete structures. A transient meshless boundary element method is proposed to predict chloride diffusion in concrete with time dependent nonlinear coefficient. Taking Green's function as the weighted function, the weighted residue method is adopted to transform the diffusion equation into equivalent integral equations. By the coupling of radial integral method and radial basis function approximation, the domain integrals in equivalent control equations are transformed into boundary integrals. Following the general procedure of boundary element meshing and traditional finite difference method, a set of nonlinear algebraic equations are constructed and are eventually solved with the modified Newtonian iterative method. Several numerical examples are provided to demonstrate the effectiveness and efficiency of the developed model. A comparison of the simulated chloride concentration with the corresponding reported experimental data in a real marine structure indicates the high accuracy and advantage of the time dependent coefficient and nonlinear model over the conventional constant coefficient model. (C) 2011 Elsevier Ltd. All rights reserved.

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