Predicting the probability of failure of cementitious sewer pipes using stochastic finite element method

Alani, Amir and Faramarzi, Asaad (2015) Predicting the probability of failure of cementitious sewer pipes using stochastic finite element method. International Journal of Environmental Research and Public Health, 12 (6). pp. 6641-6656. ISSN 1660-4601

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In this paper, a stochastic finite element method (SFEM) is employed to investigate the probability of failure of cementitious buried sewer pipes subjected to combined effect of corrosion and stresses. A non-linear time-dependant model is used to determine the extent of concrete corrosion. Using the SFEM, the effects of different random variables, including loads, pipe material, and corrosion on the remaining safe life of the cementitious sewer pipes are explored. A numerical example is presented to demonstrate the merit of the proposed SFEM in evaluating the effects of the contributing parameters upon the probability of failure of cementitious sewer pipes. The developed SFEM offers many advantages over traditional probabilistic techniques since it does not use any empirical equations in order to determine failure of pipes. The results of the SFEM can help the concerning industry (e.g., water companies) to better plan their resources by providing accurate prediction for the remaining safe life of cementitious sewer pipes.

Item Type: Article
Identifier: 10.3390/ijerph120606641
Additional Information: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Keywords: stochastic finite element method; cementitious sewer pipe; probability of failure; concrete corrosion; random variables
Subjects: Construction and engineering > Built environment
Construction and engineering > Civil and structural engineering
Construction and engineering
Depositing User: Fabio Tosti
Date Deposited: 26 May 2016 00:45
Last Modified: 06 Feb 2024 15:44


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