2015
DOI: 10.3390/ijerph120606641
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Predicting the Probability of Failure of Cementitious Sewer Pipes Using Stochastic Finite Element Method

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 demonstrat… Show more

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Cited by 15 publications
(2 citation statements)
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“…Furthermore, probabilistic models, for example based on stochastic finite element methods, have been developed to predict failure of sewer pipes exposed to corrosion and the Gaussian processes regression (GPR) model was found to be valuable for extension of a limited dataset to estimate the concrete corrosion rate in sewers (Alani & Faramarzi, 2015;Liu et al, 2017).…”
Section: Computational and Probabilistic Models For Sewer Deterioratimentioning
confidence: 99%
“…Furthermore, probabilistic models, for example based on stochastic finite element methods, have been developed to predict failure of sewer pipes exposed to corrosion and the Gaussian processes regression (GPR) model was found to be valuable for extension of a limited dataset to estimate the concrete corrosion rate in sewers (Alani & Faramarzi, 2015;Liu et al, 2017).…”
Section: Computational and Probabilistic Models For Sewer Deterioratimentioning
confidence: 99%
“…e thickness-to-span ratio indicator has allowed for simple estimation of the stability of underground caves that is easy to implement in engineering practice. e drawback of this approach is that it makes no distinction regarding the rock strength and the load size, each of which has a great influence on the stability [2][3][4].…”
Section: Introductionmentioning
confidence: 99%