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PROBABILISTIC-BASED SERVICE LIFE ANALYSIS OF REINFORCED CONCRETE COLUMNS SUBJECTED TO CORROSION DUE TO CARBONATION


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Environmental Design Department

πŸ“„ Pages: 92       🧠 Words: 6846       πŸ“š Chapters: 5 πŸ—‚οΈοΈ For: PROJECT

πŸ‘οΈβ€πŸ—¨οΈοΈοΈ Views: 235      

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ABSTRACT
Reinforced concrete (RC) structures are subjected to several sources of uncertainties that highly Affects their response. These uncertainties are related to the structure geometry, material properties and the loads applied. The lack of knowledge on the potential load, as well as the uncertainties related to the structural features shows that the design of RC structures could be made in a reliability framework. Most of the infrastructural development in Nigeria are in concrete and the environmentally unsustainable emission of carbon dioxide by industries and commercial outfits expose these concrete structures to carbonation.The parameter for load and resistance of reinforced concrete structures are random in nature and the current limit state design criteria in codes for such structures are largely deterministic. Field and Numerical experimentation were used for the Analysis. Monte Carlo Simulation (MCS) method of structural reliability was used for the Service Life Reliability analysis of the reinforced concrete column subjected to corrosion due to carbonation and the results were used to develop failure modes using Microsoft Excel Framework. The Service life reliability analysis of the reinforced concrete columns was based on the stochastic models of the basic design variables as well as the deterministic variables. The used corrosion rates are 0.02mm/year, 0.04mm/year, 0.06mm/year, 0.08mm/year, 0.1mm/year and 0.12mm/year. It was clearly established that at corrosion rates of 0.06mm/year, the service life reliability of the column dropped to 50% after 40 years corrosion exposure from 90% at the onset of the corrosion (10 years after construction).

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πŸ“„ Pages: 92       🧠 Words: 6846       πŸ“š Chapters: 5 πŸ—‚οΈοΈ For: PROJECT

πŸ‘οΈβ€πŸ—¨οΈοΈοΈ Views: 235      

⬇️ Download (Complete Report) Now!

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