Parameter identification in chloride ingress from accelerated test using Bayesian network

摘要: Chloride ingress into concrete is one of the main causes leading to degradation reinforced (RC) structures. Important damages due chloride-attack are reported after 10-20 years and thus, structures should be inspected periodically ensure optimal levels serviceability safety. Modelling chloride concrete, therefore, becomes an important task plan quantify maintenance operations Relevant material environmental parameters required for modelling could determined from inspection data obtained each campaign. However, its assessment requires significant experimental time collecting that allow considering time-dependency deterioration process. Data accelerated test used as information about long-term performance or mortar under real exposure conditions if scale factor reflecting ratio between exposures times natural tests determined. The objective this paper develop a method based on Bayesian updating identify 'real' (equivalent) define factor. proposed methodology first tested simulated implemented measurements.