Prediction of sulphide build-up in filled sewer pipes

Alani, Amir M.; Faramarzi, Asaad; Mahmoodian, Mojtaba; Tee, Kong Fah

doi:10.1080/09593330.2014.881403

Cited by 31 publications

(25 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Plastic pipes tend to be resistant to corrosion. Damage in concrete pipes can be attributed to biogenous sulfuric acid attack Alani et al 2014). On the other hand, metal pipes are susceptible to corrosion.…”

Section: Corrosion Of Metal Pipesmentioning

confidence: 99%

Risk-Cost Optimization of Buried Pipelines Using Subset Simulation

Khan

Tee

2016

J. Infrastruct. Syst.

Self Cite

View full text Add to dashboard Cite

On the basis of time-dependent reliability analysis, a computational framework called subset simulation (SS) has been applied for risk-cost optimization of flexible underground pipeline networks. SS can provide better resolution for rare failure events that are commonly encountered in pipeline engineering applications. Attention in this work is devoted to scrutinize the robustness of SS in risk-cost optimization of pipelines. SS is first employed to estimate the reliability of flexible underground pipes subjected to externally applied loading and material corrosion. Then SS is extended to determine the intervention year for maintenance and to identify the most appropriate renewal solution and renewal priority by minimizing the risk of failure and whole life-cycle cost. The efficiency of SS compared to genetic algorithm has been demonstrated by numerical studies with a view to prevent unexpected failure of flexible pipes at minimal cost by prioritizing maintenance based on failure severity and system reliability. This paper shows that SS is a more robust method in the decision-making process of reliabilitybased management for underground pipeline networks.

show abstract

Section: Corrosion Of Metal Pipesmentioning

confidence: 99%

Risk-Cost Optimization of Buried Pipelines Using Subset Simulation

Khan

Tee

2016

J. Infrastruct. Syst.

Self Cite

View full text Add to dashboard Cite

show abstract

“…K and n are the corrosion empirical constants which depend on the material of the pipe and the surrounding environment. To assess the amount of damage or reduction of the moment of inertia of pipe wall and the cross-sectional area of the pipe wall, the concept from [28] is used. For a flexible metal pipe, the moment of inertia and the cross sectional area of pipe wall per unit length can be expressed as in eqn (14) and eqn (15).…”

Section: Application To Buried Pipesmentioning

confidence: 99%

Structural robustness assessment of corroded buried pipes

Ebenuwa¹,

Tee²,

Zhang³

2016

WIT Transactions on the Built Environment

View full text Add to dashboard Cite

This paper presents the study of the negative effects of corrosion on the robustness of buried pipeline based on deflection and bending strain failure modes. The fuzzy variable is used in the assessment to take into account the subjective character of the corrosion-induced failure. The approach gains its efficiency by scrutinizing the structural robustness at every membership level with respect to various degrees of imprecision. It is shown that the use of alpha-level discretization in the assessment of an entropy based robustness measure could produce credible results with better understanding of uncertainties associated with the failure of buried pipelines.

show abstract

“…The nature of the wastewater and the propensity for anaerobic conditions in the buried pipes lead to complex chemical and biochemical transformations in the pipes, resulting in inevitable deterioration of pipe materials due to a variety of mechanisms such as hydrogen sulphide induced corrosion of concrete. The sewer networks have had to expand as a result of population growth and thus the extended hydraulic retention time of wastewater in the sewer pipes tends to create a suitable environment for sulphide production, leading to the corrosion of pipes [1]. In addition it is also believed that the widely projected climate change induced temperature rise will further accelerate corrosion.…”

Section: Introductionmentioning

confidence: 99%

“…The consequences of the collapses of sewers are socially, economically and environmentally devastating, causing enormous disruption of daily life, massive costs, and widespread pollution [1].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An evolutionary approach to modelling concrete degradation due to sulphuric acid attack

Alani

Faramarzi

2014

Applied Soft Computing

Self Cite

View full text Add to dashboard Cite

Please cite this article as: A.M. Alani, An evolutionary approach to modelling concrete degradation due to sulphuric acid attack, Applied Soft Computing Journal (2014), http://dx.doi.org/10. 1016/j.asoc.2014.08.044 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. EPR ProcessPage 2 of 38 A c c e p t e d M a n u s c r i p t 2 Highlights 1-We present a new evolutionary approach for modelling the degradation of concrete 2-The developed models predict the mass loss of concrete due to acid attack 3-Optimum concrete mix to maximise resistance against degradation is determined Abstract:Concrete corrosion due to sulphuric acid attack is known to be one of the main contributory factors for degradation of concrete sewer pipes. This paper proposes to use a novel data mining technique, namely, evolutionary polynomial regression (EPR), to predict degradation of concrete subject to sulphuric acid attack. A comprehensive dataset from literature is collected to train and develop an EPR model for this purpose. The results show that the EPR model can successfully predict mass loss of concrete specimens exposed to sulphuric acid.Parametric studies show that the proposed model is capable of representing the degree to which individual contributing parameters can affect the degradation of concrete. The developed EPR model is compared with a model based on artificial neural network (ANN) and the advantageous of the EPR approach over ANN is highlighted. In addition, based on the developed EPR model and using an optimisation technique, the optimum concrete mixture to provide maximum resistance against sulphuric acid attack has been identified.

show abstract

Prediction of sulphide build-up in filled sewer pipes

Cited by 31 publications

References 34 publications

Risk-Cost Optimization of Buried Pipelines Using Subset Simulation

Risk-Cost Optimization of Buried Pipelines Using Subset Simulation

Structural robustness assessment of corroded buried pipes

An evolutionary approach to modelling concrete degradation due to sulphuric acid attack

Contact Info

Product

Resources

About