Spatial variability-based corrosion risk assessment and strategy of repair and maintenance for RC structures
by Xiao-Zhou Wang, Wei-Liang Jin
International Journal of Modelling, Identification and Control (IJMIC), Vol. 7, No. 2, 2009

Abstract: A corrosion risk assessment model (CRAM) of reinforced concrete structures subjected to marine environment is presented. The spatial variability of parameters, which are decisive for the durability performance, is modelled probabilistically in terms of sample statistics, which may be assessed by testing of existing structures. The result of the chloride profile test is suggested to update the input model parameters for future structural condition prediction. The requirements to the service life performance are formulated in terms of the probability that the structure will be in a certain condition class after a given service time. Further, it is demonstrated how optimal strategies for repair and maintenance of concrete structure subject to chloride ingress can be determined on the basis of corrosion risk classes. The present method to plan optimal repair strategy is illustrated by an assessment case. For structures with large concrete surface exposed to chloride-laden environment, both spatial and temporal characteristics of deterioration are suggested to consider in condition assessment based on field inspection.

Online publication date: Tue, 14-Jul-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com