Generic Framework for Stochastic Modeling of Reinforced Concrete Deterioration Caused by Corrosion
作者： Jürgen Hackl
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摘要: Reinforced concrete structures constitute an important fraction of the building infrastructure. This infrastructure is aging and a large number will exceed prescribed service period in next decades. The often accompanied by correspondent deterioration mechanisms. One major mechanisms corrosion reinforcing steel, caused chloride ions or carbon dioxide exposure. decisions, made connection to possible repair renewals these structures, have implications on safety cost efficiency societal dimension. Public authorities, entitled administrate infrastructure, are need schemes methodologies that facilitate optimal management already existing stock especially regard maintenance planning. In this thesis generic framework for stochastic modeling reinforced presented. couples probabilistic models carbonation initiation with propagation effects corrosion. For purpose, combination structural reliability analysis Bayesian networks used assessment structure. approach allows compute probabilities rare events complex efficient way update model new information from measurements, monitoring inspection results. enables, first time, holistic view current life models, corresponding sensitivity studies finding decisions treating deteriorated structures. temporal evolvement can also be represented analyzed within framework.
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