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Sensitivity analysis in structural reliability of buried pipelines

Sensitivity analysis in structural reliability of buried pipelines

Mahmoodian, M. and Li, C.Q. (2012) Sensitivity analysis in structural reliability of buried pipelines. In: ASRANet 2012 Conference, 2-4 Jul 2012, Croydon, UK.

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Abstract

Reliability analysis and prediction of service life of structural systems are of significant importance in structural design and assessment due mainly to the randomness of basic variables. Studies on sensitivities of the random variables to the safety and reliability of structures have been carried out as shown in literature to identify the importance of each random variable. It is also desirable to quantify and compare the importance of each random variable in the structural reliability. In this paper, two methods for sensitivity analysis are presented including computing of relative contribution and calculation of sensitivity ratio. These techniques are used to find out the sensitivity indexes of random variables and their individual effect on the failure or limit state function. The proposed methodology for sensitivity analysis is applied in reliability analysis of a cast iron water main system including 15 random variables.

The result of sensitivity analysis indicates that inclusion of some random variables has little influence on the overall reliability estimate. Therefore in any further analysis it would not be unduly inaccurate to treat these variables as deterministic quantities. By using a reliable sensitivity analysis technique, the number of basic design variables can be reduced eventually improving the efficiency and effective of structural reliability analysis

Item Type: Conference or Conference Paper (Paper)
Uncontrolled Keywords: cast iron water pipes, sensitivity analysis, reliability analysis, corrosion of pipes
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TD Environmental technology. Sanitary engineering
Pre-2014 Departments: School of Engineering
School of Engineering > Department of Civil Engineering
Related URLs:
Last Modified: 14 Oct 2016 09:27
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/11440

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