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https://hdl.handle.net/20.500.14279/8628
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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Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
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Toula-Onoufriou.pdf | 2.94 MB | Adobe PDF | Δείτε/ Ανοίξτε |
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