Commenced in January 2007
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Paper Count: 31108
Budget Optimization for Maintenance of Bridges in Egypt

Authors: Hesham Abd Elkhalek, Sherif M. Hafez, Yasser M. El Fahham


Allocating limited budget to maintain bridge networks and selecting effective maintenance strategies for each bridge represent challenging tasks for maintenance managers and decision makers. In Egypt, bridges are continuously deteriorating. In many cases, maintenance works are performed due to user complaints. The objective of this paper is to develop a practical and reliable framework to manage the maintenance, repair, and rehabilitation (MR&R) activities of Bridges network considering performance and budget limits. The model solves an optimization problem that maximizes the average condition of the entire network given the limited available budget using Genetic Algorithm (GA). The framework contains bridge inventory, condition assessment, repair cost calculation, deterioration prediction, and maintenance optimization. The developed model takes into account multiple parameters including serviceability requirements, budget allocation, element importance on structural safety and serviceability, bridge impact on network, and traffic. A questionnaire is conducted to complete the research scope. The proposed model is implemented in software, which provides a friendly user interface. The framework provides a multi-year maintenance plan for the entire network for up to five years. A case study of ten bridges is presented to validate and test the proposed model with data collected from Transportation Authorities in Egypt. Different scenarios are presented. The results are reasonable, feasible and within acceptable domain.

Keywords: Markov Chain, bridge management systems (BMS), cost optimization condition assessment, fund allocation

Digital Object Identifier (DOI):

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[1] American Association of State Highway and Transportation Officials (AASHTO) “The Manual for Bridge Evaluation, with 2013 interim revisions”. 2st Edition, Washington, D.C. 2013.
[2] Jaeho Lee “A methodology for developing bridge condition rating models based on limited inspection records”. Phd thesis, Griffith School of Engineering, Griffith University, Gold Coast campus, Australia. 2007.
[3] Federal Highway Administration (FHWA) “Bridge Inspector's Reference Manual”. U.S. Department of Transportation, FHWA NHI 12-049. 2012.
[4] American Association of State Highway and Transportation Officials (AASHTO) “manual for condition evaluation of Bridges”. Washington D.C. 1994.
[5] Morcous, G., Rivard, H., and Hanna, A. “Case-based reasoning system for modeling bridge deterioration”. Bridge Engineering Conference, pp. 26-30, Egypt. 2000.
[6] Farhan Javed “Integrated prioritization and optimization approach for pavement management”. Phd Thesis, Department of civil engineering, national university of Singapore. 2011.
[7] Woodward “Final Report”. Deliverable D14, BRIME project RO-97-SC.2220, March 2001.
[8] Abu – Hamd I. M. “A Proposed Bridge Management System for Egypt: development of the database, structural analysis, and rating modules”. M.Sc. Thesis, Structural Engineering Department, Cairo University, Egypt. 2006.
[9] Mohamed R. El-Kafory “Bridge Management Using Reliability Analysis Techniques”. Phd Thesis, Structural Engineering Department, Cairo University, Giza, Egypt. 2010.
[10] Osama Saeed Abbas “Towards an Egyptian bridge management system”. M.Sc. Thesis, Structural Engineering Department, Cairo University, Giza, Egypt. 2012.
[11] American Association of State Highway and Transportation Officials (AASHTO) “AASHTO Bridge Element Inspection Manual”. 1st Edition, Washington, D.C. 2010.
[12] American Association of State Highway and Transportation Officials (AASHTO) “Pontis Bridge Management release 4 technical manual”. Washington D.C. 2003.
[13] Erkki Vesikari “Statistical Condition Management and Financial Optimization in Lifetime Management of Structures”. Deliverable d 2.2, LIFECON. 2003.
[14] Collins, Lyndhurst “An Introduction to Markov Chain Analysis”, Geo Abstracts, Concepts and Techniques in Modern Geography (CATMOG) No. 1. 1995.
[15] Woodward “Review of current practice for assessment of structural condition and classification of defects”. Deliverable D2, BRIME project PL-97-SC.2220. 2000.
[16] Farrukh Arif “A Decision Support Framework for Infrastructure Maintenance Investment Decision-Making” Phd thesis, Department of Civil & Environmental Engineering, Florida International University. UAS. 2013.
[17] Hatem Elbehairy, Emad Elbeltagi, Tarek H., & Khaled S. “Comparison of Two Evolutionary Algorithms for Optimization of Bridge Deck Repairs”. Computer-Aided Civil and Infrastructure Engineering, Vol. 21, pp. 561–572. 2006.
[18] Ayaho Miyamoto, Kei Kawamura, Hideaki Nakamura “Development of a bridge management system for existing bridges”. Advances in Engineering Software, Vol. 32, Issues 10–11, Pages 821–833. 2001.
[19] M. Garey, D. Johnson “Computers and Intractability: A Guide to the Theory of NP-Completeness”, W.H. Freeman, New York. 1979.
[20] Cheol-Kyu Lee, Sung-Keun Kim “GA-based algorithm for selecting optimal repair and rehabilitation methods for reinforced concrete (RC) bridge decks”. Automation in Construction Vol. 16, pp. 153–164. 2007.
[21] Piya Chootinan, Anthony Chen, Matthew R. Horrocks, Doyt Bolling “A multi-year pavement maintenance program using a stochastic simulation-based genetic algorithm approach”. Transportation Research Part a, vol. 40, pp. 725–743. 2006.
[22] Xiaoduan Sun, Robert Wang, Zhongjie Zhang “Analysis of Past NBI Ratings to Determine Future Bridge Preservation Needs”. Final report, Louisiana Transportation Research Center, January. 2004.