Abstract
Use of probabilistic performance models to estimate and predict the extent of deterioration in concrete structures is on the increase. Uncertainties associated with their input parameters have a strong influence on the effectiveness of these models. A method has been developed by the authors that uses information obtained through continuously monitoring the progress of deterioration to reduce the uncertainties associated with these models. This paper summarises the effects of various modelling uncertainties on the prior and posterior predicted performance. The effects of modelling uncertainties associated with health monitoring systems (i.e. instrument & measurement uncertainties) are also investigated for the posterior predicted performance.
| Original language | English |
|---|---|
| Title of host publication | 2nd International ASRANet Colloquium, Barcelona, Spain |
| Number of pages | 11 |
| Publication status | Published - 2004 |
Keywords
- modelling uncertainty
- Chloride induced corrosion
- Health monitoring
- Concrete bridges
- Bayesian updating