Causes and Consequences of Metallic Bridge Failures

Imam, Boulent; Chryssanthopoulos, Marios K.

doi:10.2749/101686612x13216060213437

Cited by 71 publications

(35 citation statements)

References 4 publications

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“…The failure consequences C f can be estimated on the basis of the total annual risk R. Since the main reason for the existence of civil infrastructures is public interest, failure consequences need to include all social losses such as (more examples in [1] For consistency, all the costs need to be expressed on a common basis. Costs of the measure are normally specified in a present value.…”

Section: Principles Of Risk Optimisationmentioning

confidence: 99%

“…Even smaller disruptions due to traffic restrictions or failure of some elements of the network may result in high consequences and negative environmental impacts [1]. In such a case the network and its major components are classified as a "critical infrastructure (object)" that can be defined as (see the European Directive 2008/114/EC [2]): an asset, system or part thereof which is essential for the maintenance of vital societal functions, health, safety, security, economic or social well-being of people, and the disruption or destruction of which would have a significant impact in a state as a result of the failure to maintain those functions.…”

Section: Introductionmentioning

confidence: 99%

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General approach to risk optimisation of road bridges exposed to accidental situations

Sýkora

Holický

Manas

2013

Safety and Security Engineering V

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Road bridges in accidental situations represent the most vulnerable components of transportation networks. Hazard situations may be caused by natural or manmade hazards such as floods, terrorist attacks or impacts of vehicles. Decisions concerning selection of protective measures can be based on the probabilistic optimisation of expected costs. In general, total structural costs consist of initial cost and consequences due to structural damage and failure. The initial cost comprises of construction cost including cost of protective measures; the failure consequences account for direct costs related to structural failure and indirect costs due to malfunction of transportation network. The paper proposes a general framework for the risk assessment based on Bayesian (causal) networks. The cost optimisation requires data on probability of occurrence and magnitude of selected accidental actions that often need to be based on expert assessments and judgements only. The present study indicates that the probabilistic cost optimisation in conjunction with Bayesian networks provide an effective tool for decisions concerning appropriate protective measures for bridges endangered by various types of hazards.

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Section: Principles Of Risk Optimisationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

General approach to risk optimisation of road bridges exposed to accidental situations

Sýkora

Holický

Manas

2013

Safety and Security Engineering V

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“…A broad overview of the various bridge failure consequences is presented in Imam and Chryssanthopoulos (2012), and this short discussion is based on their work, while more emphasis is placed here on these aspects that are of particular importance or are more specific to seismic failure consequences. It must be made clear at the onset of any consideration of bridge failure consequences that their modelling is multifaceted, complex and inherently uncertain.…”

Section: Bridge Seismic Risk Modelling: Consequences Of Bridge Failurementioning

confidence: 99%

Quantifying the value of SHM for emergency management of bridges at-risk from seismic damage based on their performance indicators

Omenzetter¹,

Yazgan²,

Soyöz³

et al. 2017

Proceedings of the Joint COST TU1402 - COST TU1406 - IABSE WC1 Workshop: The Value of Structural Health Monitoring for the Reli

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Abstract. This paper proposes a framework for quantifying the value of information that can be derived from a structural health monitoring (SHM) system installed on a bridge which may sustain damage in the mainshock of an earthquake and further damage in an aftershock. The pre-posterior Bayesian analysis and the decision tree are the two main tools employed. The evolution of the damage state of the bridge with an SHM system is cast as a time-dependent, stochastic, discrete-state, observable dynamical system. An optimality problem is then formulated how to decide on the adoption of SHM and how to manage traffic and usage of a possibly damaged structure using the information from SHM. The objective function is the expected total cost or risk. The paper then discusses how to quantify bridge damage probability through stochastic seismic hazard and fragility analysis, how to update these probabilities using SHM technologies, and how to quantify bridge failure consequences.

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“…In the case of metallic bridges, the former manifests itself through fatigue, 99 whereas the latter is principally related to propensity to corrosion; either can have major 100 implications on safety, functionality and appearance. This study focuses on corrosion, which 101 is a commonly observed cause of damage and failure in metallic bridges (Wardhana & 102 Hadipriono, 2003, Imam & Chryssanthopoulos, 2012). 103…”

Section: Introduction 76mentioning

confidence: 99%

Performance profiles of metallic bridges subject to coating degradation and atmospheric corrosion

Kallias

Imam

Chryssanthopoulos

2016

Structure and Infrastructure Engineering

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This study focuses on deterioration modelling and performance assessment of metallic bridges affected by atmospheric corrosion, considering also the contribution of typical protective systems in the form of multi-layer coatings. The mechanisms leading to coating degradation are reviewed and the main coating types used by infrastructure owners are highlighted. Building on information contained in industry manuals, a simple model for coating degradation is proposed. Atmospheric corrosion models are then presented, with emphasis given to exposure classification, in line with corrosivity classification guidelines and recent research quantifying the influence of corrosion through dose–response functions. Coating degradation and corrosion models are integrated into a modelling framework, aimed at producing performance profiles of elements in metallic railway bridges. Finally, the framework is implemented in a case study in which a range of condition and resistance performance criteria are presented for different elements, such as girders and stiffeners, and their constituent parts, such as webs and flanges. It is shown that the proposed methodology is sufficiently detailed to enable differentiated performance predictions based on key external factors, and has scope for improvement, especially as coating and corrosion models are informed by the collection of field data

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Causes and Consequences of Metallic Bridge Failures

Cited by 71 publications

References 4 publications

General approach to risk optimisation of road bridges exposed to accidental situations

General approach to risk optimisation of road bridges exposed to accidental situations

Quantifying the value of SHM for emergency management of bridges at-risk from seismic damage based on their performance indicators

Performance profiles of metallic bridges subject to coating degradation and atmospheric corrosion

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