Abstract

The article presents a study carried out on carbon steel pipe components subjected to erosion-corrosion wear (ECW). Based on the repeated control data, the authors present the calculated ECW characteristics, i.e., the wall-thinning and rate. It is shown that such estimates contain great uncertainty due to corrosion products deposited on the pipeline inner surface and their migration during operation. In addition, with an increase in the operating time, for example, when the lifetime is extended, the difference between the forecast and the results of control becomes larger. This means that the error in the estimates of the residual lifetime also increases. The study is based on the data of wall thickness measurements of the feedwater pipeline (273×16 mm) and steam pipeline (465×16mm) of nuclear power plants with the VVER-440 reactors, for which a sufficient number of repeated measurements were performed over a large time interval. An analysis is made of the error in estimating the pipeline wall-thinning and ECW rate using Chexal-Horowitz Flow-Accelerated Corrosion (FAC) Model (EKI-02 and EKI-03 software tools). The estimate of the ECW rate according to the above forecast model differs from the estimate according to the current control data by no more than 12.5%, since the corrosion products deposited on the pipeline inner surface wall are leveled at a large time base. When calculating the wall-thinning, due to the obvious filtering of the control data, it is possible to achieve an acceptable accuracy of estimates, i.e., about 16% without upgrading the model.

Highlights

  • The results of the metal condition monitoring show a significant unevenness of erosion-corrosive wear (ECW) of the equipment and pipelines due to a large number of factors

  • Selection of a grid for wall thickness measurements in the circumferential and axial directions, the influence of the geometry of pipeline components, routing of pipeline systems, etc. (Chexal et al 1998). These factors contribute to the fact that it is very difficult to estimate the error in calculating the ECW rate based on the operational control data

  • When analyzing the repeated control data, it is possible to reveal the influence of corrosion products deposited on the pipeline inner surface on the estimates of the ECW characteristics

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Summary

Research Article

Repeated measurements and quality of estimates in the analysis of NPP pipeline erosion-corrosion wear*.

Introduction
Influence of deposits on control data interpretation
The Keller coefficient time dependence
Data filtering
Conclusion
Findings
Sum of squared deviations
Full Text
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