Prediction of Pipe Failure in Drinking Water Distribution Networks by Comsima

Wols, B.A.; Moerman, Andreas; Horst, P.; Laarhoven, Karel van

doi:10.3390/proceedings2110589

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…The performance of the proposed technique results demonstrated that the frequency of low-pressure occurrences is significantly marginal whereas a higher minimum pressure criterion would unavoidably augment expected pipe break rates. Wols et al (2018) used a mechanical technique, introduced as Comsima, to compute the break rate with consideration of stresses and joint rotations in a part of WDN in the Netherlands on the basis of quite a few loading conditions on the pipe (i.e., soil, traffic, water pressure, and differential settlements). Robles-Velasco et al…”

Section: Literature Review: Overview Of Existing Techniquesmentioning

confidence: 99%

Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology based on Global Positioning System and Data-Driven Techniques

Amiri-Ardakani

Najafzadeh

2021

Water Resour Manage

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Deterioration of urban Water Distribution Networks (WDNs) is one of the primary cases of water supply losses, leading to the huge expenditures on the replacement and rehabilitation of elementsWDNs. An accurate prediction of pipes failure rate play a substantial role in the management of WDNs. In this study, a field study was conducted to register pipes break and relevant causes in the WDN of Yazd City, Iran. In this way, 851 water pipes were incepted and localized by the Global Positioning System (GPS) apparatus. Then, 1033 failure cases were reported in the eight zones of under study WDN during March-December 2014. Pipes break rate (BRP) was calculated using the depth of pipe installation (hP), number of failure (NP), pressure of water pipes in operation (P), and age of pipe (AP). After completing a pipe break database, robust Artificial Intelligence models, namely Multivariate Adaptive Regression Spline (MARS), Gene-Expression Programming (GEP), and M5 Model Tree were employed to extract precise formulation for the pipes break rate estimation. Results of the proposed relationships demonstrated that MARS model with Coefficient of Correlation (R) of 0.981 and Root Mean Square Error (RMSE) of 0.544 provided more satisfying efficiency than M5 model (R=0.888 and RMSE=1.096). Furthermore, statistical results indicated that MARS and GEP models had comparatively at the same accuracy level. Explicit 2 equations by AI models were satisfactorily comparable with those obtained by literature review in terms of various conditions: physical, operational, and environmental factors and complexity of AI models. Through a probabilistic framework for the pipes break rate, the results of first-order reliability analysis that MARS technique had highly satisfying performance when MARSextracted-equation was assigned as a limit state function.

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Section: Literature Review: Overview Of Existing Techniquesmentioning

confidence: 99%

Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology based on Global Positioning System and Data-Driven Techniques

Amiri-Ardakani

Najafzadeh

2021

Water Resour Manage

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“…However, the technique unlocks the possibility to study the degradation phenomena that occur in AC in more detail. At the current state of knowledge, homogeneous degradation at a constant rate is typically assumed [17,18]. According to the results presented in Section 3.1, this assumption represents an exception rather than a rule, as inhomogeneous degradation was prevalent at both the inner and the outer pipe wall.…”

Section: Lessons Learned About the Deterioration Of Ac Drinking Water Pipes In Generalmentioning

confidence: 99%

“…In previous work, it was determined that X-ray computed tomography may indeed provide a detailed description of AC pipe degradation [15]. In that work, it was also revealed that the leaching of AC drinking water pipes occurs in a far less homogeneous way than is traditionally assumed [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

CT Scans of Asbestos Cement Pipes as a Reference for Condition Assessment of Water Mains

Laarhoven

Steen

Hulst

et al. 2021

Water

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The water distribution network of The Netherlands contains around 30,000 km of asbestos cement (AC) pipes, which constitutes around 25% of the total network. As a pipe material, AC has a relatively poor performance, and therefore is a high priority for renewal. To help decide an effective order of replacement, the water utilities need condition assessment techniques that help them determine which pipes have the highest risk of failure. In the presented work, X-ray computed tomography (CT) was used to measure the degradation of AC pipes taken out of the field. These scans provide a description of the pipe degradation with unmatched detail. The results are compared with strength tests performed on the same pipes, revealing that detailed knowledge of the complete pipe degradation is more important than previously assumed. Moreover, comparison of the CT results to those of a commercial, non-destructive inspection technique was used as a new avenue for validation of this technique, demonstrating its future usefulness for attaining the detailed measurement of pipe degradation required by water utilities.

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“…Presumably, the localized nature of the external degradation in Figures 2 and 3 is related to the corresponding distributions of aggressive soil components around the pipe when the pipes were in use. The inhomogeneous nature of the internal degradation is more remarkable, however, since the leaching of calcium hydroxide from the AC pipes into the drinking water is typically understood to be a diffusion-controlled process that occurs homogeneously across the pipe surface [6]. Nonetheless, the patterns described above were typical for the 32 pipes that were scanned in total.…”

Section: Degradation Patterns Of Acmentioning

confidence: 99%

CT Scans of Asbestos Cement Pipes to Support the Development of Better Condition Assessments

Laarhoven

Quintiliani

2020

The 4th EWaS International Conference: Valuing the Water, Carbon, Ecological Footprints of Human Activities

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The Dutch drinking water distribution network consists roughly of 25% (around 30,000 km) asbestos cement pipes. This pipe material has a relatively high priority to be renewed and therefore received quite some attention when it comes to the development of condition assessments that help water utility experts to prioritize which of these pipes to replace first. In the presented work, X-ray computed tomography (CT) was used to measure the degradation of the asbestos cement (AC) pipes taken out of the field. The CT scans provide a highly detailed view of the pipe degradation. The insight provided by these images poses several questions with respect to some of the core assumptions of the condition models currently in use. Moreover, the comparison of CT results to those of non-destructive, in-line inspection techniques will provide a new avenue for the validation of these techniques and their usefulness for the Dutch water utilities.

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Prediction of Pipe Failure in Drinking Water Distribution Networks by Comsima

Cited by 8 publications

References 5 publications

Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology based on Global Positioning System and Data-Driven Techniques

Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology based on Global Positioning System and Data-Driven Techniques

CT Scans of Asbestos Cement Pipes as a Reference for Condition Assessment of Water Mains

CT Scans of Asbestos Cement Pipes to Support the Development of Better Condition Assessments

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