Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/8628
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tantele, Elia | - |
dc.contributor.author | Votsis, Renos | - |
dc.contributor.author | Onoufriou, Toula | - |
dc.date.accessioned | 2016-07-11T07:38:38Z | - |
dc.date.available | 2016-07-11T07:38:38Z | - |
dc.date.issued | 2015-10-27 | - |
dc.identifier.citation | The Open Construction & Building Technology Journal, 2015, vol. 9, pp. 266-276 | en_US |
dc.identifier.issn | 18748368 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/8628 | - |
dc.description.abstract | 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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | The Open Construction & Building Technology Journal | en_US |
dc.rights | © Bentham Open | en_US |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | Corrosion initiation | en_US |
dc.subject | Genetic algorithm | en_US |
dc.subject | Monte Carlo simulation | en_US |
dc.subject | Optimization | en_US |
dc.subject | Preventative maintenance effectiveness | en_US |
dc.subject | Reinforced concrete bridges | en_US |
dc.title | Integration of Probabilistic Effectiveness with a Two-stage Genetic Algorithm Methodology to Develop Optimum Maintenance Strategies for Bridges | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Civil Engineering | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.2174/1874836801509010266 | en_US |
dc.dept.handle | 123456789/148 | en |
dc.relation.volume | 9 | en_US |
cut.common.academicyear | 2015-2016 | en_US |
dc.identifier.spage | 266 | en_US |
dc.identifier.epage | 276 | en_US |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
item.openairetype | article | - |
crisitem.journal.journalissn | 1874-8368 | - |
crisitem.journal.publisher | Bentham Science | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.dept | Department of Civil Engineering and Geomatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0003-2666-8044 | - |
crisitem.author.orcid | 0000-0002-4433-2184 | - |
crisitem.author.orcid | 0000-0002-3361-1567 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Toula-Onoufriou.pdf | 2.94 MB | Adobe PDF | View/Open |
CORE Recommender
SCOPUSTM
Citations
5
checked on Nov 9, 2023
Page view(s) 50
439
Last Week
0
0
Last month
5
5
checked on Dec 22, 2024
Download(s)
188
checked on Dec 22, 2024
Google ScholarTM
Check
Altmetric
This item is licensed under a Creative Commons License