Integrated Multiple-Element Bridge Management System

被引:17
作者
Elbehairy, Hatem [1 ]
Hegazy, Tarek [2 ]
Soudki, Khaled [2 ]
机构
[1] Al Azhar Univ, Dept Civil Engn, Cairo, Egypt
[2] Univ Waterloo, Dept Civil Engn, Waterloo, ON N2L 3G1, Canada
关键词
MAINTENANCE; OPTIMIZATION;
D O I
10.1061/(ASCE)1084-0702(2009)14:3(179)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents the development of a comprehensive bridge management system that optimizes repair decisions considering multiple bridge elements and large networks of bridges. The strength of the system stems from its integration of project-level decisions of the best repair strategies to use on the elements of each bridge, and network-level decisions of the most beneficial repair year for each bridge. These decisions, however, represent complex optimization problems that traditional optimization techniques are often unable to solve. To handle such a large problem, the proposed system uniquely segments the problem into smaller sequential optimizations that are solved using the genetic algorithms technique. The system uses a year-by-year optimization formulation to maximize the benefit/cost ratio of the repairs, and to maximize the overall network condition. The paper provides a description of the multiple-element system, its life-cycle formulation, and its related models for deterioration analysis and repair cost estimation. System implementation and an example application are then presented to demonstrate the practicality of the system and its performance on different sizes of bridge networks.
引用
收藏
页码:179 / 187
页数:9
相关论文
共 18 条
[1]  
ELBEHAIRY H, 2007, THESIS U WATERLOO WA
[2]   Comparison of two evolutionary algorithms for optimization of bridge deck repairs [J].
Elbehairy, Hatem ;
Elbeltagi, Emad ;
Hegazy, Tarek ;
Soudki, Khaled .
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2006, 21 (08) :561-572
[3]  
*FHWA, 2001, PONT VERS 4 0 TECHN
[4]   Optimal bridge maintenance planning using improved multi-objective genetic algorithm [J].
Furuta, Hitoshi ;
Kameda, Takahiro ;
Nakahara, Koichiro ;
Takahashi, Yuji ;
Frangopol, Dan M. .
STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2006, 2 (01) :33-41
[5]  
Golberg DE., 1989, Choice Reviews Online, V1989, P36, DOI DOI 10.5860/CHOICE.27-0936
[6]  
Hegazy T, 2004, TRANSPORT RES REC, P44
[7]  
Holland J.H., 1975, Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, DOI 10.7551/mitpress/1090.001.0001
[8]   Evaluation and determination of optimal MR&R strategies in concrete bridge decks [J].
Hong, TaeHoon ;
Hastak, Makarand .
AUTOMATION IN CONSTRUCTION, 2007, 16 (02) :165-175
[9]   OPTIMAL LONG-TERM SCHEDULING OF BRIDGE DECK REPLACEMENT AND REHABILITATION [J].
JACOBS, TL .
JOURNAL OF TRANSPORTATION ENGINEERING-ASCE, 1992, 118 (02) :312-322
[10]  
JIANG Y, 1990, THESIS PURDUE U W LA