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dc.contributor.authorHatem Elbehairy
dc.contributor.authorTarek Hegazy
dc.contributor.authorKhaled Soudki
dc.date.accessioned2017-05-08T21:25:52Z
dc.date.available2017-05-08T21:25:52Z
dc.date.copyrightMay 2009
dc.date.issued2009
dc.identifier.other%28asce%291084-0702%282009%2914%3A3%28179%29.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/51185
dc.description.abstractThis paper presents the development of a comprehensive bridge management system that optimizes repair decisions considering multiple bridge elements and large networks of bridges. The strength of the system stems from its integration of project-level decisions of the best repair strategies to use on the elements of each bridge, and network-level decisions of the most beneficial repair year for each bridge. These decisions, however, represent complex optimization problems that traditional optimization techniques are often unable to solve. To handle such a large problem, the proposed system uniquely segments the problem into smaller sequential optimizations that are solved using the genetic algorithms technique. The system uses a year-by-year optimization formulation to maximize the benefit/cost ratio of the repairs, and to maximize the overall network condition. The paper provides a description of the multiple-element system, its life-cycle formulation, and its related models for deterioration analysis and repair cost estimation. System implementation and an example application are then presented to demonstrate the practicality of the system and its performance on different sizes of bridge networks.
dc.publisherAmerican Society of Civil Engineers
dc.titleIntegrated Multiple-Element Bridge Management System
dc.typeJournal Paper
dc.journal.volume14
dc.journal.issue3
dc.journal.titleJournal of Bridge Engineering
dc.identifier.doi10.1061/(ASCE)1084-0702(2009)14:3(179)
dc.treeJournal of Bridge Engineering:;2009:;Volume ( 014 ):;issue: 003
dc.contenttypeFulltext


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