V. L'Hostis, F. Foct and D. Féron
J. Phys. IV France 136 (2006) 213-222
Reinforced concrete corrosion: Application of Bayesian networks to the risk management of a cooling towerB. Capra, J. Le Drogo and V. Wolff
OXAND S.A., 36 bis avenue F. Roosevelt, 77210 Avon, France
(Published online 22 December 2006)
Degradation modelling of concrete structures uses uncertain variables and leads, using reliability assessment, to time dependant evolution of failure probabilities. However, only few data are generally available to feed models leading to two types of uncertainties: an intrinsic one depending on the modelled phenomena and one related to the precision of the measurement. Each new data available is a piece of information which allows to update the initial prediction. In this article, an example of updating process, based on a Bayesian network, is presented and applied on the corrosion risk of a cooling tower.
© EDP Sciences 2006