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Theses

Etude de la performance des réseaux d'ouvrages d'art et détermination des stratégies de gestion optimales

Abstract : In a context of scarce capital resources and to tackle the ageing of the bridge stock, stakeholders require and use decision making techniques. These tools prioritize at least maintenance actions and optimize allocation of funds eventually. However, all these bridge management systems have an individual strategy approach. They do not include the performance of the transportation network as a criterion in the decision process. The general principle is to find the most appropriate maintenance strategy for each bridge belonging to a network. This approach is not necessarily the best suited strategy for a transportation network. The aim of this thesis is to propose a methodology that provides optimal maintenance strategies for a network of bridges and not for each bridge taken as individuals. The proposed methodology consists in balancing supply costs provided by the infrastructure network with demand costs of the network users. The supply costs are those of all needed maintenance actions, performed by the bridge owner, to provide an adequate level of service for the bridges. The demand costs are those supported by the network users in case of inadequate level of service. The assessment of the supply costs requires to introduce performance of bridges. To take into account the uncertainties in the ageing process of bridges, the performance is calculated by using two probabilistic approaches : a parametrical one that is based on the reliability theory and that applies a failure mode for each bridge, and a non parametrical one that is based on a condition index that gives an information on the overall condition of the bridge. The methodology is proposed in a first time when both information are known, and in a second time when only the condition index is available. Besides, The demand costs are quantified by determining the traffic assignment if there is a traffic disruption for a combination of bridges, then by calculating the difference of user costs for these events with the reference when all bridges are in good condition and ideal performance. Optimal management strategies are determined by using genetical algorithms. First, optimal maintenance times are found for each bridge. Second, optimal maintenance actions are found. Two approaches are proposed. In a first one, the sum of user costs and maintenance costs is minimized. In a second one both user and maintenance costs are minimized separately and the best compromise is determined. Finally, the proposed methodology allows to determine the optimal maintenance actions planning for a given time period. It helps to answer the two questions : « when » and « how » take decisions in order to have the best network system by optimizing the different costs.
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André Orcesi. Etude de la performance des réseaux d'ouvrages d'art et détermination des stratégies de gestion optimales. Autre. Université Paris-Est, 2008. Français. ⟨tel-00348406⟩

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