Issue |
J. Phys. IV France
Volume 136, November 2006
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Page(s) | 263 - 271 | |
DOI | https://doi.org/10.1051/jp4:2006136027 | |
Published online | 22 December 2006 |
V. L'Hostis, F. Foct and D. Féron
J. Phys. IV France 136 (2006) 263-271
DOI: 10.1051/jp4:2006136027
Risk management and maintenance optimization of nuclear reactor cooling piping system
L. Augé1, B. Capra1, M. Lasne1, O. Bernard1, P. Bénéfice2 and R. Comby21 OXAND, 36bis avenue F. Roosevelt, 77210 Avon, France
2 EDF-DPN-GMAP, Site Cap Ampère, 1 place Pleyel, 93207 Saint-Denis Cedex, France
(Published online 22 December 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.
© EDP Sciences 2006