TY - GEN
T1 - Spatial deterioration model updating of aging RC structures based on inspection information
AU - Papakonstantinou, K. G.
AU - Shinozuka, M.
PY - 2011
Y1 - 2011
N2 - 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
AB - 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
UR - http://www.scopus.com/inward/record.url?scp=84856714043&partnerID=8YFLogxK
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U2 - 10.1201/b11332-342
DO - 10.1201/b11332-342
M3 - Conference contribution
AN - SCOPUS:84856714043
SN - 9780415669863
T3 - Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
SP - 2319
EP - 2327
BT - Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
PB - Taylor and Francis Inc.
T2 - 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
Y2 - 1 August 2011 through 4 August 2011
ER -