Technical management of French harbour structures - Part 1: Description of built assets

Boéro, Jérôme; Schoefs, Franck; Capra, Bruno; Rouxel, Nicolas

doi:10.5150/revue-paralia.2009.006

Cited by 18 publications

(18 citation statements)

References 5 publications

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“…The initial phase has been described in several papers (Boéro, Schoefs, Capra, & Rouxel, 2009a& 2009b. The present article deals only with the second phase, specifically the reliability analysis of steel sheet-pile seawalls undergoing uniform corrosion.…”

Section: Introductionmentioning

confidence: 99%

Time-function reliability of harbour infrastructures from stochastic modelling of corrosion

Boéro¹,

Schoefs²,

Yáñez-Godoy³

et al. 2012

European Journal of Environmental and Civil Engineering

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International audienceThis article summarises research led during the second phase of the French GEROM (risk management of maritime and river harbour structures) project in order to quantify the risks associated with vulnerable structures. A reliability analysis is applied here to steel sheet-pile seawalls. For this purpose, a stochastic (spatial-temporal) model of steel corrosion is proposed, based on a statistical analysis of data collected from wharves located in several French ports and of various ages. The predictions obtained from the corrosion model are then integrated into a reliability analysis to carry out a time-function reliability analysis of corroded harbour structures. The results are then compared and analysed both in terms of reliability and sensitivity to basic random variables. This approach allows suggesting preliminary requirements about maintenance optimisation

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Section: Introductionmentioning

confidence: 99%

Time-function reliability of harbour infrastructures from stochastic modelling of corrosion

Boéro¹,

Schoefs²,

Yáñez-Godoy³

et al. 2012

European Journal of Environmental and Civil Engineering

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“…Because of the cyclic evolution of tides with time, several tides of the same CMAR occur during the same year. They are denoted as M j (j 2 [1,5]) in the following analysis.…”

Section: Identification Methodologymentioning

confidence: 99%

“…where F err i denotes the deviation between the measured loadings in the ith tie rod ðF mes i Þ and the corresponding loading prediction cal- culated by the RS numerical model, f ðF sr i ; hÞ, and h is the set of unknown variables to be identified and i is the phase number (e.g., i 2 [1,6] for the tide in Table 3, Fig. 5).…”

Section: Identification Methodologymentioning

confidence: 99%

“…Systematic predictive maintenance programs are not easy to implement in systems with large infrastructures because of the heterogeneity of building ages and building styles. This is especially true for structures in coastal areas [1,2]. A survey of the structures (displacement data) provides some additional information, but it is still challenging to update the model if many different factors are involved.…”

Section: Introductionmentioning

confidence: 99%

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Surface response meta-models for the assessment of embankment frictional angle stochastic properties from monitoring data: An application to harbour structures

Schoefs

Lanata

2013

Computers and Geotechnics

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For several decades, many structures have been monitored during maintenance or during their service lives to analyse long-term behaviour. A large number of sensors, properly distributed in the structure, are necessary, especially if the structure is complex and includes significant spatial variability. When probabilistic modelling is applied, because of intrinsic uncertainties in the model as well as uncertain physical parameters, monitoring measurements can be used to identify the parameters of the structural model. This paper presents a monitoring example of a pile-supported wharf in which tie rods are instrumented and the geotechnical characteristics of the soil embankment are identified. The modelling is performed using a meta-model fitted with a numerical database obtained from direct simulations with a finite element model implemented with Plaxis. A full quadratic response surface model (RSM) is the most efficient approximation to fit the original finite element model. The identified soil parameters enable the model to describe the variability of the measured loading in the tie rods.

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“…A first GIS was developed as a tool for managers of hydraulic structures to make decisions. Boero et al [8] have implemented a methodology for risk analysis applied to optimize the management of harbour structures. This qualitative method is performed to inventory exhaustively failure modes and rank them, using a risk indicator.…”

Section: Introductionmentioning

confidence: 99%

Development and validation of predictive model to describe the growth of concrete water tank vulnerability with time

Aliche

Hammoum

Bouzelha

et al. 2016

Period. Polytech. Civil Eng.

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IntroductionThe Algerian heritage of drinking water storage tank has almost 40,000 tanks and is mostly built of reinforced concrete. The average age of the national heritage of concrete tanks is about forty years. The feedback from nearly half a century of management has highlighted a great disparity in the behaviour of these structures, expressed by several pathologies [1]. The lack of maintenance of these tanks, directly exposed to natural threats (snow, earthquakes, winds), accelerates the ageing process. In consideration to this, in recent years, civil engineering activity is repositioning primarily in the life cycle of existing structures operation rather than in the design and construction of new structures. Therefore, we note a great interest in the scientific community to risk analysis. Many methods have been developed by several authors intended to structure managers in order to assess the structural performance, to make risk analysis or programming maintenance actions for hydraulic structures, harbour structures and buildings. We mainly cite the reliability approach, the approach using physical models and expertise approach.The reliability approach based on probabilistic analysis has its limitations when the data is in insufficient quantity and in poor quality. Probability calculations become quickly complicated or impossible and their validity becomes difficult to demonstrate. We are then in the presence of the concept of imprecise probabilities. The interested reader by further details can consult the reference [2]. This latter provides an overview on developments which involve imprecise probabilities for the solution of engineering problems. Evidence theory, probability bounds analysis with p-boxes, and fuzzy probabilities are discussed with emphasis on their key features and on their relationships to one another. In the case where the structure is badly known and where the available data are of poor quality, the deterministic method using physical models; which consists of a recalculation of the structure; is difficult to implement. So, the simplest way to assess the future development of damages is to examine the evolution laws of existing structures of same design that have similar mechanisms, based on the experience feedback. This method is known as the expert approach that will be discussed in this paper.

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Technical management of French harbour structures - Part 1: Description of built assets

Cited by 18 publications

References 5 publications

Time-function reliability of harbour infrastructures from stochastic modelling of corrosion

Time-function reliability of harbour infrastructures from stochastic modelling of corrosion

Surface response meta-models for the assessment of embankment frictional angle stochastic properties from monitoring data: An application to harbour structures

Development and validation of predictive model to describe the growth of concrete water tank vulnerability with time

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