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Risk management and maintenance optimization of nuclear reactor cooling piping system

Authors :
L. Auge
O. Bernard
B. Capra
P. Benefice
M. Lasne
R. Comby
Source :
Journal de Physique IV (Proceedings). 136:263-271
Publication Year :
2006
Publisher :
EDP Sciences, 2006.

Abstract

Seaside nuclear power plants have to face the ageing of nuclear reactor cooling piping systems. In order to minimize the duration of the production unit shutdown, maintenance operations have to be planned well in advance. In a context where owners of infrastructures tend to extend the life span of their goods while having to keep the safety level maximum, Oxand brings its expertise and know-how in management of infrastructures life cycle. A dedicated methodology relies on several modules that all participate in fixing network optimum replacement dates: expertise on ageing mechanisms (corrosion, cement degradation...) and the associated kinetics, expertise on impacts of ageing on functional integrity of piping systems. predictive simulation based on experience feedback, development of monitoring techniques focused on actual threats. More precisely, Oxand has designed a patented monitoring technique based on optic fiber sensors, which aims at controlling the deterioration level of piping systems. This preventive maintenance enables the owner to determine criteria for network replacement based on degradation impacts. This approach helps the owner justify his maintenance strategy and allows him to demonstrate the management of safety level. More generally, all monitoring techniques used by the owners are developed and coupled to predictive simulation tools, notably thanks to processes based on Bayesian approaches. Methodologies to evaluate and optimize operation budgets, depending on predictions of future functional deterioration and available maintenance solutions are also developed and applied. Finally, all information related to infrastructure ageing and available maintenance options are put together to reach the right solution for safe and performing infrastructure management.

Details

ISSN :
17647177 and 11554339
Volume :
136
Database :
OpenAIRE
Journal :
Journal de Physique IV (Proceedings)
Accession number :
edsair.doi...........debf2fbfb289329a8c8735b5ab9f1b46
Full Text :
https://doi.org/10.1051/jp4:2006136027