2012
DOI: 10.1111/j.1467-8667.2012.00757.x
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Risk Management of Large RC Structures within Spatial Information System

Abstract: The present article addresses the development of a spatial information system (SIS), which aims to facilitate risk management of large‐scale concrete structures. The formulation of the SIS is based on ideas developed in the context of indicator‐based risk modeling for concrete structures subject to corrosion and geographical information system based risk modeling concerning large‐scale risk management. The term “risk management” here refers in particular to the process of condition assessment and optimization … Show more

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Cited by 46 publications
(23 citation statements)
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“…The most predominant superficial damage detection method in actual practice is in situ visual inspection supplemented by professional equipment (Gattulli and Chiaramonte, 2010;Qin and Faber, 2012;Miyamoto and Isoda, 2012;O'Byrne et al, 2013). This method has significant advantages of operation but requires extremely high levels of professional experience and is costly.…”
Section: Introductionmentioning
confidence: 99%
“…The most predominant superficial damage detection method in actual practice is in situ visual inspection supplemented by professional equipment (Gattulli and Chiaramonte, 2010;Qin and Faber, 2012;Miyamoto and Isoda, 2012;O'Byrne et al, 2013). This method has significant advantages of operation but requires extremely high levels of professional experience and is costly.…”
Section: Introductionmentioning
confidence: 99%
“…Corrosion of the reinforcement at depth W begins when a critical chloride concentration C cr is exceeded. According to DuraCrete [17], the time to initiation of reinforcement corrosion T I is given by (3) where: D diffusion coefficient C s chloride concentration on concrete surface X I model uncertainty associated with T I erf (·) Gauss error function All parameters W, D, C cr , C s and X I are modelled here as lognormal random variables [10,16]. The Limit State Function (LSF) describing the event of corrosion initiation at time t can be written as (4) For the purpose of illustration, we model here the propagation phase using a linear model as shown in Fig.…”
Section: Deterioration Model 31 Dbn Model Of Chloride-induced Reinfomentioning
confidence: 99%
“…This paper describes an approach in which the uncertain system deterioration state of an ageing concrete structure is described by a Dynamic Bayesian Network (DBN) model of the underlying stochastic deterioration processes. This approach was motivated by the work of Straub [15] and Qin and Faber [16]. DBN models provide a computational framework that enables the evaluation of the joint distribution function of the system deterioration state based on the prior stochastic model and, in particular, Bayesian updating of the joint distribution function of the system deterioration state with observations of the underlying deterioration process, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…Therein, the dependence among component deterioration states is modeled either through the correlation among the deterioration limit states [40,22,28] or through a hierarchical model [34,8,32,53,49]. More recently, a number of researchers have considered the planning and optimization of inspection and maintenance actions in structural systems with dependent component deterioration [59,44,43,38].…”
Section: Introductionmentioning
confidence: 99%