Spatial deterioration model updating of aging RC structures based on inspection information

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A spatial, stochastic, chloride induced corrosion model of reinforced concrete structures is briefly analyzed in this work. Modeling the spatial variability of model parameters gives one the ability, not only to quantify the probability of degradation, but the extent of damage as well. The model aspires to predict structures' extent of damage for their whole service life period. An efficient way of predicting reliable results, throughout the years, is by utilizing inspection information to update the model. This stochastic inverse problem, concerning the spatial extent of damage, presents many challenges however, in realistic applications, mainly due to computational intractability. To overcome this obstacle, a series of steps are taken in this work consisting of sensitivity analysis, quadrature techniques and the unscented transform. The specific updating procedure allows the solution of the problem in reasonable computational time, even for large structures and sophisticated numerical models

Original languageEnglish (US)
Title of host publicationApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
PublisherTaylor and Francis Inc.
Pages2319-2327
Number of pages9
ISBN (Print)9780415669863
DOIs
StatePublished - 2011
Event11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Switzerland
Duration: Aug 1 2011Aug 4 2011

Publication series

NameApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering

Other

Other11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
CountrySwitzerland
CityZurich
Period8/1/118/4/11

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Statistics and Probability

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