Modeling Effects of Stochastic Stray Currents from D.C. Traction on Corrosion Hazard of Buried Pipelines

Abstract

The main problems discussed in the article concern the analysis of the phenomenon of stray currents generated by electric D.C. traction currents. These currents flow in the ground and, when they encounter an underground metal structure, can lead to the acceleration of electrochemical corrosion. There is a stochastic phenomenon that depends on many factors such as the position of the traction vehicle along the route or the current drawn by it from the traction network. The presented research concerns the use of probabilistic methods to analyze this phenomenon. The proposed algorithm allows determining the occurrence of electrochemical-pipeline corrosion risk for geometrically complex traction-pipeline systems, including many random variables and corrosion phenomena. The non-deterministic solution to such an interdisciplinary problem is an element of novelty.

Stray Current Protection and Monitoring Systems: Characteristic Quantities, Assessment of Performance and Verification

“…The correlation of IP and track voltage is reported in [ 12 ] as an approach commonly used in Poland, which would alleviate the issues related to contributions external to the system. For better ETS representation, the stray current source quantity could be taken from SCPS measurements (if the SCPS is active).…”

“…Corrosion induced by stray current (SC) is a significant problem of electrified transportation systems (ETSs) and has attracted a lot of attention, especially for systems operated at dc, such as light railways, metros and rapid transit in general: general system analysis [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ] including design optimization and defects [ 8 , 9 ], impact on buried conductive pipes [ 10 , 11 ], with both deterministic and stochastic approaches [ 12 , 13 ]. A marginal impact may be expected also for ac railways [ 14 , 15 ], but the lower intensity of the traction current and the lesser impact of ac on the chemical mechanism of corrosion make it a less relevant problem.…”

A Neural Network for Monitoring and Characterization of Buildings with Environmental Quality Management, Part 1: Verification under Steady State Conditions

“…The criterion for the choice of the ANN was selected as the minimum value of the maximum absolute value of the relative error [44,45] calculated for a given approach. An additional condition about resilience when changing initial weight and bias for neurons was needed to ensure repeatability of results in the tested problem [46][47][48][49].…”

Methods and instruments for stray current verification in DC rapid transit and railway systems

“…Stray current and induced corrosion are a significant problem of electrified transportation systems (ETSs), especially if operated at DC [1]- [9], although some impact may be expected also for ac railways [10]- [13]. There has been a significant modeling and simulation effort to better understand the dynamics, identify the relevant factors and optimize the design solutions [2], [3], [5], [14]- [18]. It is nevertheless true that an accurate simulation result stems from a comprehensive description of the system, fed with accurate estimates of all relevant parameters.…”