Improving durability performance of reinforced concrete structures with probabilistic analysis

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Title: Improving durability performance of reinforced concrete structures with probabilistic analysis

Author(s): Rui Miguel Ferreira

Publication: IJCSM

Volume: 2

Issue: 2

Appears on pages(s): 137-143

Keywords: marine environment; concrete; structure; corrosion; durability; design; reinforcement; temperature; hydrophobation; concrete cover

Date: 12/31/2008

Abstract:
In recent years, much research work has been performed on durability design and long-term performance of concrete structures in marine environments. In particular, the development of new procedures for probability-based durability design has been shown to provide a more realistic basis for the analysis. This approach has been successfully applied to several new concrete structures, where requirements for a more controlled durability and service life have been specified. For reinforced concrete structures in a marine environment, it is commonly assumed that the dominant degradation mechanism is the corrosion of the reinforcement due to the presence of chlorides. The design approach is based on the verification of durability limit states, examples of which are: depassivation of reinforcement, cracking and spalling due to corrosion, and collapse due to cross section loss of reinforcement. With this design approach the probability of failure can be determined as a function of time. In the present paper, a probability-based durability performance analysis is used in order to demonstrate the importance of the durability design approach of concrete structures in marine environments. In addition, the sensitivity of the various durability parameters affecting and controlling the durability of concrete structures in a marine environment is studied. Results show that the potential of this approach to assist durability design decisions making process is great. Based o the crucial information is generated, it is possible to prolong the service life of structures while simultaneously optimizing the final design solution.


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