Structural failure assessment of buried steel water pipes subject to corrosive environment

Mahmoodian, Mojtaba; Aryai, Vahid

doi:10.1080/1573062x.2017.1325500

Cited by 13 publications

(5 citation statements)

References 16 publications

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“…The two components of LSF for previous studies are shown in Table 5. Mahmoodian and Aryai (2017) investigated the failure probability of corroded steel water pipes. The non-linearity of corrosion was taken into consideration based on the Power Law model (Romanoff, 1957) using Equation 4.…”

Section: Limit State Equations Based On Structural Reliabilitymentioning

confidence: 99%

“…Figure 7 shows the six modes of failure using the appropriate shapes in fault tress analysis to represents the top event (i.e., failure of water pipes), failure modes (i.e., basic events) and the logic gates. As known in the limit state reliability theory, the results from the study (Mahmoodian & Aryai, 2017) show that consideration of multiple limit states is essential in determining the failure probability of water pipes since different failure mechanisms contribute to overall pipe failure. For instance, the service life of a pipe was estimated to be 140 years when only the leakage limit was considered, whereas it was estimated to be 45 years when six limit states were considered (Mahmoodian & Aryai, 2017).…”

Section: Physical Modelsmentioning

confidence: 99%

“…As known in the limit state reliability theory, the results from the study (Mahmoodian & Aryai, 2017) show that consideration of multiple limit states is essential in determining the failure probability of water pipes since different failure mechanisms contribute to overall pipe failure. For instance, the service life of a pipe was estimated to be 140 years when only the leakage limit was considered, whereas it was estimated to be 45 years when six limit states were considered (Mahmoodian & Aryai, 2017). This shows that consideration of only one limit state can lead to inappropriate service life estimation, which may facilitate wrong decision‐making in relation to pipe management.…”

Section: Physical Modelsmentioning

confidence: 99%

See 2 more Smart Citations

Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes

Taiwo

Seghier

Zayed

2023

Water Resources Research

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Water distribution networks (WDNs) are undoubtedly a critical part of water utility assets, as they are responsible for water transmission (Atef et al., 2016;Berardi et al., 2014). It has been reported that, on average, 80% of water utility expenditures are spent on the management of WDNs (Poulakis et al., 2003). However, available evidence shows that the failure of WDNs is increasing at a fast rate, which negatively impacts individuals' social, economic, and health status (Steffelbauer et al., 2022;Yazdani & Jeffrey, 2012).In the USA and Canada, around 700 water pipes fail daily, thereby contributing to the loss of over 2 trillion gallons of clean water annually (Fan et al., 2022). In 2017, more than 2.2 billion m 3 of water was loss in China (Liao et al., 2021). The enormous financial commitment associated with the failure of water distribution networks cannot be overemphasized. According to the American Water Work Association (AWWA), the USA needs to invest around $1 trillion in replacing and repairing the deteriorating components of their WDNs (Fan et al., 2022). In Australia, the estimated cost of repairing and maintaining WDNs is about AUD 1.4 billion (Weeraddana et al., 2020). In South Korea, 52.5% of the water pipes will require rehabilitation by 2024, as indicated in a study by Seo et al. (2015). In the case of Colombia, a developing country, approximately 50% of water is lost due to water pipe failures (Giraldo-González & Rodríguez, 2020). From the aforementioned, the failure of WDNs, which mostly consist of water pipes, is a global issue that requires utmost attention. WDNs are founded underground; therefore, these infrastructures need to be designed to resist traffic, soil, internal, and overburden pressures, and other environment and operation related loads (Berardi et al., 2008). In essence, the reliability of WDNs must not be compromised during their service life; hence, catastrophic failure

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Section: Limit State Equations Based On Structural Reliabilitymentioning

confidence: 99%

Section: Physical Modelsmentioning

confidence: 99%

Section: Physical Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes

Taiwo

Seghier

Zayed

2023

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…While, if failures happen in the water network, in addition to the loss of water, the economic costs spent on water treatment will be wasted (Romano, Kapelan, & Savić, 2013;Shi, Zhang, & Ho, 2013). The corrosion and exhaustion of distribution networks and pressure differences in pipes (due to changes of demands during daily cycles) can be included as the causes of failures in water distribution networks (WDNs) (Mahmoodian and Aryai, 2017). Therefore, balancing the pressure as well as managing modifications and renovations of networks could contribute to the reduction of losses in water resources and optimization of economic costs.…”

Section: -Introductionmentioning

confidence: 99%

Assessing the failures in water distribution networks using a combination of geographic information system, EPANET 2, and descriptive statistical analysis: a case study

Gheibi

Emrani

Eftekhari

et al. 2022

Sustain. Water Resour. Manag.

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Nowadays, issues related water are considered one of the most significant and vital problems in human societies. One of the fundamental branches of the water crisis is the distribution network-related problems. The present study attempted to extract, classify and verify the failure data obtained from the Preventive Maintenance database of Birjand Water Distribution Network (WDN). The WDN was meshed in terms of the rate of failures using a combination of Geographic Information Systems (GIS) and EPANET 2. Then it was assessed by using the descriptive statistical analysis method. Investigations revealed that the middle sections of WDN involved the highest rate of failures. Furthermore, the investigations demonstrated that from 2011 to 2016 the highest rate of failures per kilometer per year ranged in range of 0.6 to 1.8 which involved the highest aggregation for all cells. In this regard, the highest intensity aggregation of occurrence rate in 2011 was estimated as 1.

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“…Despite being used for a variety of purposes, these materials are vulnerable to corrosion, which weakens the physical, chemical, and mechanical properties of metallic materials while in service. Internal corrosion is the time-dependent and slow degradation of metals induced by an electrochemical reaction [1,2]. Internal pipes corrosion and the formation of deposits on the pipe walls are influenced by water quality parameters [3].…”

Section: Introductionmentioning

confidence: 99%

Internal Corrosion Damage Mechanisms of the Underground Ferrous Water Pipelines

Yeshanew¹,

Jiru²,

Lemu³

et al. 2022

Adv. Sci. Technol. Res. J.

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Internal water pipe corrosion is a complicated problem due to the interaction of water quality parameters with the pipe wall. This study presents investigations of internal pipe surface corrosion mechanisms related to water physicochemical. Samples of water and corrosion-damaged ductile cast iron (30+ years) and galvanized steel pipe (15-20 years) were collected under in-situ condition from Addis Ababa city water distribution system. Scanning electron microscopy and optical microscopy were used to examine the pipes' corrosion morphology and microstructures, respectively. Additionally, Mountains 9 surface analysis software was used for further pitting corrosion characterization.To identify the causes of internal pipe corrosion, water physicochemical analyses were conducted by using inoLab pH 7310P, DR 900, Palintest Photometer 7100, and Miero 800. Water physicochemical test indicates: CaCO 3 is 77-215 ppm, pH is 7.05 -7.86, total dissolved solids (TDS) is 84.10-262.8 ppm, ClO 2 is 0-0.5 ppm, and dissolved oxygen (80-81 ppb). From water test results, major causes of internal pipe corrosion damage mechanisms were identified as dissolved oxygen, CaCO 3 , TDS, ClO 2, and resistivity of water which initiates a differential cell that accelerates pipe corrosion. Using Mountain 9 surface analysis software, corrosion morphology and pitting features were characterized. The outputs of this paper will be helpful for water distribution and buried infrastructure owners to investigate corrosion damage mechanisms at an early stage. To manage corrosion mechanisms, water supply owners need to conduct frequent inspections, recording of pipe data, testing of water quality, periodic pipelines washing, and apply preventative maintenance.

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Structural failure assessment of buried steel water pipes subject to corrosive environment

Cited by 13 publications

References 16 publications

Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes

Toward Sustainable Water Infrastructure: The State‐Of‐The‐Art for Modeling the Failure Probability of Water Pipes

Assessing the failures in water distribution networks using a combination of geographic information system, EPANET 2, and descriptive statistical analysis: a case study

Internal Corrosion Damage Mechanisms of the Underground Ferrous Water Pipelines

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