A corrosion risk assessment model for underground piping

Datta, Koushik; Fraser, Douglas R.

doi:10.1109/rams.2009.4914686

Cited by 3 publications

(2 citation statements)

References 7 publications

(8 reference statements)

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“…A model for estimating underground pipe failure risk is proposed in [23] based on four sub-models, i.e., pipe-segment corrosion model, pipe stress model, pipe wrap protection model and stress model. Failure probabilities estimated from Monte Carlo simulation reveals that improving accuracy and acquiring knowledge can make the model more reliable.…”

Section: Related Workmentioning

confidence: 99%

Analytical Modeling for Underground Risk Assessment in Smart Cities

2018

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Abstract:In the developed world, underground facilities are increasing day-by-day, as it is considered as an improved utilization of available space in smart cities. Typical facilities include underground railway lines, electricity lines, parking lots, water supply systems, sewerage network, etc. Besides its utility, these facilities also pose serious threats to citizens and property. To preempt accidental loss of precious human lives and properties, a real time monitoring system is highly desirable for conducting risk assessment on continuous basis and timely report any abnormality before its too late. In this paper, we present an analytical formulation to model system behavior for risk analysis and assessment based on various risk contributing factors. Based on proposed analytical model, we have evaluated three approximation techniques for computing final risk index: (a) simple linear approximation based on multiple linear regression analysis; (b) hierarchical fuzzy logic based technique in which related risk factors are combined in a tree like structure; and (c) hybrid approximation approach which is a combination of (a) and (b). Experimental results shows that simple linear approximation fails to accurately estimate final risk index as compared to hierarchical fuzzy logic based system which shows that the latter provides an efficient method for monitoring and forecasting critical issues in the underground facilities and may assist in maintenance efficiency as well. Estimation results based on hybrid approach fails to accurately estimate final risk index. However, hybrid scheme reveals some interesting and detailed information by performing automatic clustering based on location risk index.

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Section: Related Workmentioning

confidence: 99%

Analytical Modeling for Underground Risk Assessment in Smart Cities

2018

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“…NACE suggests three methods to mitigate corrosion: change the environment, change the material, or place a barrier between the environment and material [7]. The last method refers to a protective coating or backfilling the pipe trench [8,9]. A secondary external corrosion prevention mechanism applicable to underground pipelines is impressed current CP (ICCP) rectifiers that supply direct current (DC) for corrosion control.…”

Section: Introductionmentioning

confidence: 99%

Predictive Maintenance Framework for Cathodic Protection Systems Using Data Analytics

Rossouw

Doorsamy

2021

Energies

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In the quest to achieve sustainable pipeline operations and improve pipeline safety, effective corrosion control and improved maintenance paradigms are required. For underground pipelines, external corrosion prevention mechanisms include either a pipeline coating or impressed current cathodic protection (ICCP). For extensive pipeline networks, time-based preventative maintenance of ICCP units can degrade the CP system’s integrity between maintenance intervals since it can result in an undetected loss of CP (forced corrosion) or excessive supply of CP (pipeline wrapping disbondment). A conformance evaluation determines the CP system effectiveness to the CP pipe potentials criteria in the NACE SP0169-2013 CP standard for steel pipelines (as per intervals specified in the 49 CFR Part 192 statute). This paper presents a predictive maintenance framework based on the core function of the ICCP system (i.e., regulating the CP pipe potential according to the NACE SP0169-2013 operating window). The framework includes modeling and predicting the ICCP unit and the downstream test post (TP) state using historical CP data and machine learning techniques (regression and classification). The results are discussed for ICCP units operating either at steady state or with stray currents. This paper also presents a method to estimate the downstream TP’s CP pipe potential based on the multiple linear regression coefficients for the supplying ICCP unit. A maintenance matrix is presented to remedy the defined ICCP unit states, and the maintenance time suggestion is evaluated using survival analysis, cycle times, and time-series trend analysis.

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A Review of Ultrasonic Tomography for Monitoring the Corrosion of Steel Pipes

Rahman¹,

Rahim

Ling

et al. 2015

Jurnal Teknologi

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Infrastructure development is currently taking place rapidly. Designing a dwelling or premises is currently implemented quickly while controlling construction costs in addition to providing guidance on planned development. The architecture uses steel as a main part of the pile and drainage system is connected from sources to consumer. This study focuses on steel pipes that are exposed to corrosion. This problem is considered serious because steel pipes are used not only for the delivery of water supply but also for the delivery of gas and oil to the oil and gas sector, where the same problem occurs. Impacts of the problem of corrosion of steel pipes contribute to the risk of loss to the owner of the premises or industry. An overview of leakage problems, which cause a reduction in the volume of materials or hazards to the environment and consumers, is given, and the occurrence of corrosion in pipelines is evaluated. Monitoring methods use ultrasonic tomography as a major contribution to the implementation of monitoring and assessing the status of pipe durability and ability. This paper looks at the concept of diverse ultrasonic tomography inventions used to assist the process of monitoring of the level of pipeline capacity that will suffer corrosion.

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A corrosion risk assessment model for underground piping

Cited by 3 publications

References 7 publications

Analytical Modeling for Underground Risk Assessment in Smart Cities

Analytical Modeling for Underground Risk Assessment in Smart Cities

Predictive Maintenance Framework for Cathodic Protection Systems Using Data Analytics

A Review of Ultrasonic Tomography for Monitoring the Corrosion of Steel Pipes

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