Enhanced Predictive Modelling of Steel Corrosion in Concrete in Submerged Zone Based on a Dynamic Activation Approach

• Published in: International journal of concrete structures and materials Vol. 13; no. 1; pp. 1 - 18
• Main Authors: Mir, Zahid Mohammad, Höche, Daniel, Gomes, Celestino, Sampaio, Rui, Bastos, Alexandre C., Maincon, Philippe, Ferreira, M. G. S., Zheludkevich, Mikhail L.
• Format: Journal Article
• Language: English
• Published: Singapore 한국콘크리트학회 2019; Springer Singapore; Springer; Springer Nature B.V; SpringerOpen
• Subjects: Activation; Boundary conditions; Building Materials; chloride-induced depassivation; Concrete; Concrete structures; Corrosion; Corrosion rate; Engineering; finite element method; Life prediction; Mathematical models; Rebar; rebar corrosion; Reinforcing steels; Seawater; Service life; Solid Mechanics; Steel; Structural Materials; Structural steels; submerged zone; Transient analysis; 토목공학; Germany; chloride-induced depassivation; finite element method; rebar corrosion; submerged zone
• ISSN: 1976-0485; 2234-1315
• DOI: 10.1186/s40069-018-0321-0

A numerical model for enhanced service life prediction of concrete infrastructure is presented which includes transient analysis of processes during corrosion initiation as well as propagation stage. The temporal and spatial transition of Steel–Concrete Interface during depassivation events is described by a randomly varying chloride threshold function. As such random activation events can be accounted for, rather than having to pre-describe the anode size and location as in many existing models. The aim of the study is to investigate random spatial activation events in concrete structures in submerged zones based on dynamically changing boundary conditions on the rebar surface to control transition from passive to active state. Investigations are carried out to realize the sustainability of corrosion processes in limiting oxygen concentrations in dissolved seawater. The model showcases the numerical architecture, the associated concept of randomly varying chloride threshold and predicts that among other factors, the rate of oxygen strongly influences corrosion rate in submerged locations.