4.4 Article

Probabilistic durability assessment of concrete structures in marine environments: Reliability and sensitivity analysis

期刊

CHINA OCEAN ENGINEERING
卷 31, 期 1, 页码 63-73

出版社

CHINA OCEAN PRESS
DOI: 10.1007/s13344-017-0008-3

关键词

concrete; corrosion; durability; reliability; sensitivity; chloride

资金

  1. National Natural Science Foundation of China [51168003, 51368006, 51478125]
  2. Guangxi Natural Science Foundation [2012GXNSFEA053002]
  3. Program for Distinguished Scholars and High-Level Innovative Research Team of Guangxi Higher Education [GJR-2013-38]
  4. Guangxi Science and Technology Development Program [1377001-11]

向作者/读者索取更多资源

A probabilistic framework for durability assessment of concrete structures in marine environments was proposed in terms of reliability and sensitivity analysis, which takes into account the uncertainties under the environmental, material, structural and executional conditions. A time-dependent probabilistic model of chloride ingress was established first to consider the variations in various governing parameters, such as the chloride concentration, chloride diffusion coefficient, and age factor. Then the Nataf transformation was adopted to transform the non-normal random variables from the original physical space into the independent standard Normal space. After that the durability limit state function and its gradient vector with respect to the original physical parameters were derived analytically, based on which the first-order reliability method was adopted to analyze the time-dependent reliability and parametric sensitivity of concrete structures in marine environments. The accuracy of the proposed method was verified by comparing with the second-order reliability method and the Monte Carlo simulation. Finally, the influences of environmental conditions, material properties, structural parameters and execution conditions on the time-dependent reliability of concrete structures in marine environments were also investigated. The proposed probabilistic framework can be implemented in the decision-making algorithm for the maintenance and repair of deteriorating concrete structures in marine environments.

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