Variance-Based Methods for Sensitivity Analysis in Civil Engineering

Kala, Zdeněk; Puklický, Libor

doi:10.1007/978-90-481-2822-8_111

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…The corrosion does not only decrease the reinforcement cross-section, but also causes the cracks and dropping out of the concrete cover. That means that the flexural stiffness is decreasing [8,9]. Therefore, the corrosion influences not only the Ultimate Limit States (ULS), but also the Serviceability Limit States (SLS).…”

Section: Influence Of Reinforcement Corrosion On Resistancementioning

confidence: 99%

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Influence of Reinforcement Corrosion on Reliability and Remaining Lifetime of RC Bridges

Koteš

Vičan

Ivašková

2016

MSF

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The evaluation of existing bridge structures is the most important process in the global Bridge Management System (BMS) because of providing the basic information about existing bridges required from the viewpoint of decision making process related to the optimal bridge maintenance and rehabilitation strategy. The theoretical approach using conditional probability and the positive effect of the inspection was developed. The new information concerning the actual structure condition is used in this mathematical model. This information is not available in the process of the new structure design [1]. The work is focused on structures subjected to bending [2]. The reinforced concrete beam elements with or without degradation were investigated. The corrosion of reinforcement bars was used as material degradation. The biggest effect of the inspection was obtained for members, which do not degrade. Hereby, the negative effect of degradation on reliability index is also demonstrated.

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Section: Influence Of Reinforcement Corrosion On Resistancementioning

confidence: 99%

“…The reliability margin G(t) [8] is the basic parameter of structural reliability and it is described by formula…”

Section: Influence Of Reinforcement Corrosion On Resistancementioning

confidence: 99%

Influence of Reinforcement Corrosion on Reliability and Remaining Lifetime of RC Bridges

Koteš

Vičan

Ivašková

2016

MSF

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“…The corrosion does not only decrease the reinforcement cross-section, but also causes the cracks and dropping out the concrete cover. It means that the flexural stiffness is decreasing [7,8,9].…”

Section: T Cross-section -Denotationmentioning

confidence: 99%

Reliability of Existing Concrete Bridges from the Aspect of the Reinforcement Corrosion

Koteš

Vičan

Brodňan

et al. 2016

KEM

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The quality and durability of the concrete structures are affected by many degradation processes. The reliability of existing bridge structures is significantly affected by numerous factors, from which the reinforcement and structural steel corrosion, together with effect of traffic action, are the most important. Corrosion is the destructive attack on metal by chemical or electrochemical reaction with its environment. In the case of reinforced concrete (RC) structures, the most known degradation process is corrosion of reinforcement. RC members have to fulfill the conditions given in Eurocode [1, 2]. Horizontal beams are mainly subjected to bending and shear. The paper deals with reinforcement corrosion of main longitudinal reinforcements (reinforcement against bending) and its influence on the moment resistance of the existing bridge concrete structures. The two types of active stage calculation of corrosion were considered in this paper. The length of passive stage was not known, so it was calculated backwards.

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“…() and for some particular applications to civil engineering, see, for example, Castillo et al. (, , ) and Kala and Puklicky (). However, these techniques alone will require a huge amount of CPU time.…”

Section: Introductionmentioning

confidence: 99%

“…This can be done using well-known techniques such as sensitivity analysis. For a general view of some sensitivity analysis methods, see Sobol (2001), Saltelli (2002), Saltelli et al (2004), or Castillo et al (2006) and for some particular applications to civil engineering, see, for example, Castillo et al (2004Castillo et al ( , 2008Castillo et al ( , 2009) and Kala and Puklicky (2009). However, these techniques alone will require a huge amount of CPU time.…”

Section: Introductionmentioning

confidence: 99%

Complexity Reduction and Sensitivity Analysis in Road Probabilistic Safety Assessment Bayesian Network Models

Castillo

Grande

Mora

et al. 2017

Computer aided Civil Eng

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This article is concerned with improving some existing methods for probabilistic safety analysis of roads and highways. After a quick review of a Bayesian network model, in which special attention is devoted to human error and all safety related items or elements existing along the road are considered, important problems are dealt with and some solutions provided. This includes: (1) a new and general method for a detailed description of the conditional probabilities of variables given their parents leading to closed‐form formulas, (2) a partitioning technique that allows us to reduce drastically the CPU time required for the calculations, based on dividing the Bayesian network into very small subnetworks using the conditional independence property and leading to a reduced complexity, which is linear in the number of variables or road length instead of the nonlinear character of alternative methods, and (3) a range sensitivity analysis method, which takes advantage of the partitioning technique and is superior to a local sensitivity analysis. Finally, some real examples are provided to show the usefulness of the proposed methodologies to assess the safety of highways or conventional roads.

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Variance-Based Methods for Sensitivity Analysis in Civil Engineering

Cited by 4 publications

References 5 publications

Influence of Reinforcement Corrosion on Reliability and Remaining Lifetime of RC Bridges

Influence of Reinforcement Corrosion on Reliability and Remaining Lifetime of RC Bridges

Reliability of Existing Concrete Bridges from the Aspect of the Reinforcement Corrosion

Complexity Reduction and Sensitivity Analysis in Road Probabilistic Safety Assessment Bayesian Network Models

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