Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/8628
Title: Integration of Probabilistic Effectiveness with a Two-stage Genetic Algorithm Methodology to Develop Optimum Maintenance Strategies for Bridges
Authors: Tantele, Elia 
Votsis, Renos 
Onoufriou, Toula 
Keywords: Corrosion initiation
Genetic algorithm
Monte Carlo simulation
Optimization
Preventative maintenance effectiveness
Reinforced concrete bridges
Issue Date: 2015
Publisher: BENTHAM OPEN
Source: The Open Construction & Building Technology Journal, 2015, 9, pages 266-276
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.
URI: http://ktisis.cut.ac.cy/jspui/handle/10488/8628
ISSN: 1874-8368
DOI: 10.2174/1874836801509010266
Rights: Copyright © Bentham Open
Appears in Collections:Άρθρα/Articles

Files in This Item:
File Description SizeFormat 
Toula-Onoufriou.pdf2.94 MBAdobe PDFView/Open
Show full item record

Page view(s)

16
Last Week
0
Last month
3
checked on Aug 21, 2017

Download(s) 20

8
checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.