Reliability Analysis of Flexural Concrete Member Based on the Randomness of Pitting

Ya Li Ma; Zheng Jian Li; Zhuo Zhao

doi:10.4028/www.scientific.net/AMM.166-169.1941

Paper Titles

Investigation of Numerical Modeling for Concrete Corroded by Chloride Ion Diffusion
p.1922

A Discuss on Basing Half-Cell Potential Method for Estimating Steel Corrosion Rate in Concrete
p.1926

Characterization of Surface Crack Using Surface Waves
p.1931

Research on Chloride Diffusion Model in Pre-Stressed Concrete with Sulfate Attack
p.1935

Reliability Analysis of Flexural Concrete Member Based on the Randomness of Pitting
p.1941

Influence of Boundary and Initial Condition on Durability of Concrete Structures Exposed to Chloride Environment
p.1946

Reliability Assessment under Combinations of Snow Load Effect: The Lightweight Steel Structures with Gabled Frames and Components Designs
p.1954

The Accuracy Comparison of Assessing the Amount of Steel Corrosion in Concrete with Several Different Algorithms
p.1958

Influence of Cracks Parameters on Bearing Capacity for Prestressed Concrete Box Girder
p.1963

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 166-169Reliability Analysis of Flexural Concrete Member...

Reliability Analysis of Flexural Concrete Member Based on the Randomness of Pitting

Abstract:

In order to analyze the influence of stochastic pitting corrosion to the reliability of service structure, According to the theory of extreme values of random variables and the basic theory of reliability analysis, the reliability of flexural concrete member based on the randomness of pitting, the change of statistical parameters for both corroded steel bar and resistance is also analyzed based on the randomness of pitting. Based on the checking point method, the development law of reliability of concrete bending members with the number of random variables and the service life are studied. The results indicated that the influence of the randomness of pitting to the reliability of flexural concrete members is of the most significance, the reliability index was found to decline with the increase of number of random variables and the service life. The analysis show the research presented in the paper can provide theoretical basis of life prediction.

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Periodical:

Applied Mechanics and Materials (Volumes 166-169)

Pages:

1941-1945

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.166-169.1941

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Online since:

May 2012

Authors:

Ya Li Ma, Zheng Jian Li, Zhuo Zhao

Keywords:

Extreme Theory, Pitting Corrosion, Randomness, Reliability

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References

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