IoT(Internet of Things)-based Underground Risk Assessment System Surrounding Water Pipes in Korea

Kwak, Pilljae; Park, Sanghyuk; Choi, Changho; Lee, Hyundong; Kang, Jae-Mo; Lee, Inhwan

doi:10.14257/ijca.2015.8.11.18

Cited by 7 publications

(16 citation statements)

References 2 publications

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“…The development of a sinkhole risk index (SRI) or sinkhole risk prediction should help correlate the leakage from pipelines with sinkhole detection. Researchers have considered developing an SRI to determine risk elements for sinkhole occurrence and ground subsidence [12]. For a long time, researchers have been working on hazard and risk assessment of sinkhole formation, especially natural sinkholes.…”

Section: Introductionmentioning

confidence: 99%

“…According to Table 1, four out of eight contributions are related to manmade sinkholes. Only four research contributions [12][13][14][15] focused on predicting the risk of manmade sinkhole formation. Two contributions [12,13] concentrated only on manmade sinkholes due to leakage from underground sewer and water pipelines.…”

Section: Introductionmentioning

confidence: 99%

“…Only four research contributions [12][13][14][15] focused on predicting the risk of manmade sinkhole formation. Two contributions [12,13] concentrated only on manmade sinkholes due to leakage from underground sewer and water pipelines. In most previous research, authors only focused on karstic soil profiles (i.e., soil profiles with carbonate rock and limestone).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Among those two contributions [12,13], the authors in [12] only considered the deflection of water pipelines after leakage as a factor for sinkhole risk prediction. Other than that, this study [12] is just limited to soil profiles with karstic soil profiles. Kwak et al (2015) [13] contributed toward the risk assessment of sinkholes due to leakage from underground sewer or water pipelines; however, their risk assessment model is still under development.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Risk Prediction of Sinkhole Occurrence for Different Subsurface Soil Profiles due to Leakage from Underground Sewer and Water Pipelines

Ali¹,

Choi²

2019

Sustainability

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A sinkhole is a ground surface depression that may occur with or without any indications on the surface and often pose danger to both properties and people. Leakage from underground pipe mains in urban areas may cause sudden ground subsidence or sinkholes. For a long time, researchers have been working on the hazard and risk assessment of sinkhole formation, especially natural sinkholes. However, much less work has been done on risk prediction and the mechanism of manmade sinkholes. In this study, different versions of small-scale sinkhole physical models were used in experiments to monitor ground surface settlement or collapse due to leakage from an underground pipeline. The factors under consideration were the type of subsurface soil profile, type of water flow, and leakage position in the pipeline. The ultimate goal was to use this information to predict the risk of sinkhole occurrence due to leakage from sewer or water pipelines under different subsurface soil conditions. The experimental results and statistical analysis showed that the subsurface soil strata conditions dominated the mechanism of sinkhole occurrence, although other factors also have contributed to the settlement. Then, this analysis was used to predict the sinkhole risk level under different conditions. The development of a reliable sinkhole risk prediction system can potentially minimize the risk to human lives and infrastructure. These findings can be applied to the development of a sinkhole risk index (SRI) that considers various other factors influencing sinkhole occurrence.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Risk Prediction of Sinkhole Occurrence for Different Subsurface Soil Profiles due to Leakage from Underground Sewer and Water Pipelines

Ali¹,

Choi²

2019

Sustainability

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A low-power differential readout interface for capacitive accelerometer-based SHM applications

Shahbaz

Khan

Jawed

et al. 2022

Analog Integr Circ Sig Process

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Three-dimensional sinkhole stability of spherical cavity

2022

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Sinkhole occurrences due to underground water mains operations have piqued people’s curiosity. Most research works were in relation to geophysical practices to discover the subsurface cavity. Very few works can be found in relation to the investigation of soil stability due to underground cavity shapes. The actual shape of an underground cavity and its transformation is difficult to predict, though the sinkhole failures are mostly circular in shape on the ground surface. This study explores the three-dimensional collapse stability of three distinct idealized cavity geometries, namely the circular, semi-spherical, and spherical cavities. For an active failure, dimensionless parameters are used to investigate the combined impacts of soil cover, surcharge pressure, soil weight, and internal pressure using advanced finite element limit analysis. Numerical results are compared with the two-dimensional axisymmetric results, and design charts presented to cover a wide range of design parameters for practical applications.

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IoT(Internet of Things)-based Underground Risk Assessment System Surrounding Water Pipes in Korea

Cited by 7 publications

References 2 publications

Risk Prediction of Sinkhole Occurrence for Different Subsurface Soil Profiles due to Leakage from Underground Sewer and Water Pipelines

Risk Prediction of Sinkhole Occurrence for Different Subsurface Soil Profiles due to Leakage from Underground Sewer and Water Pipelines

A low-power differential readout interface for capacitive accelerometer-based SHM applications

Three-dimensional sinkhole stability of spherical cavity

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