01661429

Component

Reinforced concrete (RC) structures are often subjected to deterioration mechanisms during their design life cycle. Penetration of aggressive ions like chloride is one of the main reasons of deterioration of RC structures. In order to predict the future condition state of structures and be prepared for maintenance/repair actions, the first step is to model the chloride penetration and examine the parameters contributing to it. The current study models the chloride penetration to an RC pier using the evolutionary cellular automaton (CA) framework. The accuracy of the CA obtained results is verified using the available data in the literature collected from field tests. The effect of various environmental factors on the chloride profile is investigated in detail. Moreover, the applicability of the CA framework for bridge management systems is discussed. The outcome of this study is expected to provide an in-depth insight on chloride penetration and its important parameters that are necessary to predict the future condition of RC structures.

This paper was sponsored by TRB committee AFN10 Standing Committee on Basic Research and Emerging Technologies Related to Concrete. Uncertainty Analysis of Reinforced Concrete Structures in Harsh Environments: a Cellular Automaton Framework: This is an alternate title.

18-03977

English

14p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Cellular automata; Chlorides; Concrete structures; Deterioration by environmental action; Ions; Piers (Supports); Structural deterioration and defects

Bridges and other structures; Highways; Materials; Pavements

Transportation Research Board Annual Meeting 2018 Paper #18-03977

TRIS, TRB, ATRI

Jan 8 2018 10:59AM