Le Touquet – Paris-Plage, France
Le Touquet – Paris-Plage, France

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Orcesi A.D.,Laboratoire Central des Ponts et Chausses | Frangopol D.M.,Lehigh University
Journal of Bridge Engineering | Year: 2010

Due to limited resources, structural health monitoring (SHM) of highway bridges has to be integrated in structural performance assessment in a cost-effective manner. The instrumentation and the long-term SHM procedures are generally chosen with emphasis on most critical bridge components for a particular failure mode. However, global structural analysis is necessary to obtain useful structural performance information. It is then a major challenge to use monitoring data at some locations to perform a structural reliability analysis at other locations. In this paper, a methodology for lifetime serviceability analysis of existing steel girder bridges including crawl tests and long-term monitoring information is presented. The case where the initial goal of monitoring is to provide data for a fatigue analysis of some bridge components is considered. The monitoring results are used to perform a structural reliability analysis of different sections that are critical considering serviceability of the bridge. Limit state equations are used firstly by adhering to the load and strength formulas and requirements set forth in AASHTO specifications, and secondly by integrating monitoring information. Serviceability with respect to permanent deformation under overload is estimated for the girders with these two different methods and a time-dependent performance analysis is conducted by considering corrosion penetration. The proposed approach is applied to the I-39 Northbound Bridge over the Wisconsin River in Wisconsin. A monitoring program of that bridge was performed by the Advanced Technology for Large Structural Systems Center at Lehigh University. © 2010 ASCE.

Orcesi A.D.,Laboratoire Central des Ponts et Chausses | Cremona C.F.,Voltaire
Journal of Bridge Engineering | Year: 2011

Maintenance and repair activities are crucial to prevent the deterioration of highway bridges and ensure users' safety. In 2006, the French Ministry of Transportation initiated a survey to improve the maintenance strategies of its bridge stock. This study was justified by the introduction of new financial regulations in France. Each Ministry is now enforced to assess its performance through indicators and targets. On behalf of the Ministry of Transportation, the Roads Directorate needs to determine the preservation policy for roads and bridges based on annual quality indicators such that target values are reached for the horizon 2020. During the last decades, inspection and maintenance strategies applied on the most deteriorated engineering structures enabled to maintain an acceptable level of service and safety. However, these management strategies can obviously be largely improved. Facing these stakes, the methodology presented in this paper is elaborated to optimize the allocation of maintenance funds. The objective is to determine the global financial resources needed to satisfy the constraints on the quality indicators over the next 15 years. The proposed model is based on Markov chains fitted to condition data collection. By including prediction models in the cost analysis, different maintenance strategies are evaluated. Applied to the French national bridge stock, the procedure shows that a slight increase of the annual budget is required to fulfill the asset performance requirements fixed by the Roads Directorate. © 2011 ASCE.

Orcesi A.D.,Laboratoire Central des Ponts et Chausses | Cremona C.F.,Commissariat Gnral Au Dveloppement Durable
Reliability Engineering and System Safety | Year: 2010

For managing highway bridges, stakeholders require efficient and practical decision making techniques. In a context of limited bridge management budget, it is crucial to determine the most effective breakdown of financial resources over the different structures of a bridge network. Bridge management systems (BMSs) have been developed for such a purpose. However, they generally rely on an individual approach. The influence of the position of bridges in the transportation network, the consequences of inadequate service for the network users, due to maintenance actions or bridge failure, are not taken into consideration. Therefore, maintenance strategies obtained with current BMSs do not necessarily lead to an optimal level of service (LOS) of the bridge network for the users of the transportation network. Besides, the assessment of the structural performance of highway bridges usually requires the access to the geometrical and mechanical properties of its components. Such information might not be available for all structures in a bridge network for which managers try to schedule and prioritize maintenance strategies. On the contrary, visual inspections are performed regularly and information is generally available for all structures of the bridge network. The objective of this paper is threefold (i) propose an advanced network-level bridge management system considering the position of each bridge in the transportation network, (ii) use information obtained at visual inspections to assess the performance of bridges, and (iii) compare optimal maintenance strategies, obtained with a genetic algorithm, when considering interests of users and bridge owner either separately as conflicting criteria, or simultaneously as a common interest for the whole community. In each case, safety and serviceability aspects are taken into account in the model when determining optimal strategies. The theoretical and numerical developments are applied on a French bridge network. © 2010 Elsevier Ltd. All rights reserved.

Chambon S.,Laboratoire Central des Ponts et Chausses | Gourraud C.,Laboratoire Central des Ponts et Chausses | Moliard J.-M.,Laboratoire Central des Ponts et Chausses | Nicolle P.,Laboratoire Central des Ponts et Chausses
VISAPP 2010 - Proceedings of the International Conference on Computer Vision Theory and Applications | Year: 2010

The automatic detection of road cracks is important in a lot of countries to quantify the quality of road surfaces and to determine the national roads that have to be improved. Many methods have been proposed to automatically detect the defects of road surface and, in particular, cracks: with tools of mathematical morphology, neuron networks or multiscale filter. These last methods are the most appropriate ones and our work concerns the validation of a wavelet decomposition which is used as the initialisation of a segmentation based on Markovian modelling. Nowadays, there is no tool to compare and to evaluate precisely the peformances and the advantages of all the existing methods and to qualify the efficiency of a method compared to the state of the art. In consequence, the aim of this work is to validate our method and to describe how to set the parameters.

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