Review of numerical approaches used in soil-pipe interaction analysis of water mains

Zhang, Rui; Gomaa, Sherif M.M.H.; Hussein, Mohamed; Zayed, Tarek; Meguid, Mohamed A.

doi:10.1016/j.trgeo.2023.101008

Cited by 5 publications

(2 citation statements)

References 153 publications

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“…Pipeline distribution systems are crucial for the functioning of modern cities as they are vital infrastructures that guarantee fast and safe delivery of essential public needs [1]. Globally, extensive networks of pipelines transmit oil, gas, and water as they provide reliable and resilient distribution system [2].…”

Section: Introductionmentioning

confidence: 99%

Numerical investigation of the thermal response and Mechanical Behavior of Water Distribution Pipelines subjected to extreme Cold Wave

Qunfang,

Ayinde,

Fei

et al. 2024

Preprint

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Water distribution pipelines play a critical role in delivering safe drinking water to communities, yet their susceptibility to extreme climate events presents significant safety and structural challenges. Recent observations have noted an increase in pipe failures during cold waves, underscoring the need to address these risks. While much research has focused on statistical analysis of pipe failures due to low temperatures, limited attention has been given to the mechanical behavior of pipelines under thermal-induced stress during cold waves. This study addresses this gap by developing a 3D finite element model to investigate the thermal responses and mechanical behavior of buried water distribution pipelines under cold wave conditions. Key parameters including temperature differences, soil temperature reduction rates, pipe wall thickness, and internal water pressure are examined to understand their effects on pipeline stress, strain, and displacement. Results show that as pipe temperature decreases, the pipe contracts, particularly impacting the springline. Over time, pipeline stress transitions from tension to compression. A temperature difference of approximately 18℃ leads to an 85% increase in axial strain and a 6.5% increase in Mises stress. Increasing the rate of temperature reduction minimally affects pipeline stress but significantly impacts displacements. Moreover, increasing pipe wall thickness effectively reduces pipeline stress by 102.8% and axial strain by 17.4%. Higher internal water pressure results in elevated pipeline stress but reduced displacement. These findings underscore the importance of considering thermal-mechanical interactions during cold waves to prevent failures and ensure operational integrity in water distribution pipelines.

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Section: Introductionmentioning

confidence: 99%

Numerical investigation of the thermal response and Mechanical Behavior of Water Distribution Pipelines subjected to extreme Cold Wave

Qunfang,

Ayinde,

Fei

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Such occurrences can be attributed to either unpredictable incidents, deliberate human interference, or the cumulative effects of factors such as time, excessive pressure within pipes, unfavorable hydraulic conditions, and inadequate adaptation of water quality parameters to the local conditions and materials employed [5][6][7][8]. The malfunctioning of the water supply network can also be impacted by inadequately designed structural concepts for the network, improper selection of hydraulic conditions during network operations (such as an excessively high operating pressure or insufficient use of fittings to safeguard against water hammer), corrosive characteristics of the soil, fluctuations in temperature, and other related factors [9][10][11][12][13]. A framework for dynamic nodal vulnerability assessment in water distribution networks, considering demand variations, operational status, and multilayer networks, providing more realistic evaluations and insights for maintenance scheduling concerning the risk associated with water supply network failures was introduced among others in the studies [14].…”

Section: Introductionmentioning

confidence: 99%

The Failure Risk Analysis of the Water Supply Network

Tchórzewska-Cieślak,

Pietrucha-Urbanik,

Piegdoń

2023

Water

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The primary objective of this work is to introduce a novel approach that modifies the method for analyzing and assessing the risk of water supply network failure. The approach aligns with recommendations from the World Health Organization and the European Union regarding the reliability and safety of water supply to consumers. The presented method for assessing the risk in the water distribution subsystem was based on the vulnerability identifying method (VIM) and involves the determination of the vulnerability index (VI). The VIM vulnerability factors considered encompass the failure rate, chemical stability of water, and issues related to water corrosion properties in water distribution subsystems. The obtained risk assessment includes parameters such as the probability of hazard occurrence, the consequences of these hazards, and vulnerability to them. This concept was evaluated using real operational data from the water distribution subsystem. The estimated risk level, under the given operating conditions, indicates its acceptability.

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Rainfall-induced landslide prediction models, part ii: deterministic physical and phenomenologically models

Ebrahim,

Gomaa,

Zayed

et al. 2024

Bull Eng Geol Environ

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Landslides are frequent hillslope events that may present significant risks to humans and infrastructure. Researchers have made ongoing efforts to assess the potential danger associated with landslides, intending to ascertain the location, frequency, and magnitude of these events in a given area. This study is meant to supplement the previous study (Part I), which explored empirical and physically based causative thresholds. In this paper (Part II), a systematic review is used to conduct an in-depth study of existing research on prediction models. Deterministic physical approaches were investigated for local-scale landslides. Next, national-scale landslide susceptibility models are discussed, including qualitative and quantitative models. Consequently, key findings about rainfall-induced landslides are reviewed. The strategy selection is generally governed by data and input factors from a macroscopic perspective, while the better prediction model is defined by dataset quality and analysis model performance from a microscopic perspective. Physically based causative thresholds can be used with limited geotechnical or hydrological data; otherwise, numerical analysis provides optimal accuracy. Among all statistical models, the hybrid artificial intelligence model achieved the best accuracy. Finally, current challenges have concentrated on integrating AI and physical models to obtain high accuracy with little data, prompting research suggestions. Advanced constitutive models for real-time situations are lacking. Dynamic and spatiotemporal susceptibility maps are also used, although their subjectivity needs further research. This study analyses how to choose the best model and determine its key traits. This research provides valuable insights for scholars and practitioners seeking innovative approaches to lessen the severity of landslides.

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Review of numerical approaches used in soil-pipe interaction analysis of water mains

Cited by 5 publications

References 153 publications

Numerical investigation of the thermal response and Mechanical Behavior of Water Distribution Pipelines subjected to extreme Cold Wave

Numerical investigation of the thermal response and Mechanical Behavior of Water Distribution Pipelines subjected to extreme Cold Wave

The Failure Risk Analysis of the Water Supply Network

Rainfall-induced landslide prediction models, part ii: deterministic physical and phenomenologically models

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