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Τίτλος: Integration of Probabilistic Effectiveness with a Two-stage Genetic Algorithm Methodology to Develop Optimum Maintenance Strategies for Bridges
Συγγραφείς: Tantele, Elia 
Votsis, Renos 
Onoufriou, Toula 
Major Field of Science: Engineering and Technology
Field Category: Civil Engineering
Λέξεις-κλειδιά: Corrosion initiation;Genetic algorithm;Monte Carlo simulation;Optimization;Preventative maintenance effectiveness;Reinforced concrete bridges
Ημερομηνία Έκδοσης: 27-Οκτ-2015
Πηγή: The Open Construction & Building Technology Journal, 2015, vol. 9, pp. 266-276
Volume: 9
Start page: 266
End page: 276
Περιοδικό: The Open Construction & Building Technology Journal 
Περίληψη: reventative Maintenance (PM) measures can be used to postpone/delay the initiation of corrosion from chloride attack in reinforced concrete bridges. However there are a lot of uncertainties that influence their degree of effectiveness. Also the time-application of these measures can raise a conflict between safety requirements and budgets. This paper presents a stochastic approach for estimating the effectiveness of different PM measures. Additionally a two-stage optimisation methodology using the principles of Genetic Algorithms (GA) is developed to address the problem of the timeapplication by linking the effectiveness with the cost to produce optimum PM strategies. Futhermore, the role of the presented time-dependent probabilistic approach in the proposed two-stage GA methodology for obtaining optimum PM strategies is demonstrated.
URI: https://hdl.handle.net/20.500.14279/8628
ISSN: 18748368
DOI: 10.2174/1874836801509010266
Rights: © Bentham Open
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation: Cyprus University of Technology 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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