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Int. J. Environ. Res. Public Health 2015, 12(6), 6641-6656; doi:10.3390/ijerph120606641

Predicting the Probability of Failure of Cementitious Sewer Pipes Using Stochastic Finite Element Method

1
School of Computing and Technology, University of West London, 8th Floor, Villiers House, Ealing Broadway, London W5 2PA, UK
2
School of Civil Engineering, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Rao Bhamidiammarri and Kiran Tota-Maharaj
Received: 22 April 2015 / Revised: 4 June 2015 / Accepted: 8 June 2015 / Published: 10 June 2015
(This article belongs to the Special Issue Environmental Systems Engineering)
View Full-Text   |   Download PDF [984 KB, uploaded 10 June 2015]   |  

Abstract

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. View Full-Text
Keywords: stochastic finite element method; cementitious sewer pipe; probability of failure; concrete corrosion; random variables stochastic finite element method; cementitious sewer pipe; probability of failure; concrete corrosion; random variables
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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).

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MDPI and ACS Style

Alani, A.M.; Faramarzi, A. Predicting the Probability of Failure of Cementitious Sewer Pipes Using Stochastic Finite Element Method. Int. J. Environ. Res. Public Health 2015, 12, 6641-6656.

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