A Novel Chaotic Optimization‐Oriented Model for Bridge Maintenance and Rehabilitation Planning
Auteur(s): |
Eslam Mohammed Abdelkader
(Department of Building and Real Estate, Faculty of Construction and Environment The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong)
Mohamed El Amine Ben Seghier (Department of Civil Engineering and Energy Technology OsloMet—Oslo Metropolitan University 0167 Oslo Norway) Nehal Elshaboury (Department of Building and Real Estate, Faculty of Construction and Environment The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong) Tarek Zayed (Department of Building and Real Estate, Faculty of Construction and Environment The Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | ce/papers, septembre 2023, n. 5, v. 6 |
Page(s): | 1099-1104 |
DOI: | 10.1002/cepa.2006 |
Abstrait: |
The rise in percentage of deteriorated bridges coupled with the escalation of maintenance costs call for systematic bridge management systems. Therefore, this research paper introduces an exponential chaotic differential evolution (ECDE) model for optimizing bridge maintenance plans at both project and network levels. The developed optimization model is envisioned on addressing the performance, economic, social, and environmental aspects of bridge maintenance management. In addition, it exploits the use of chaotic sequences to circumvent the critical shortcomings of local minima entrapment and premature convergence encountered by classical optimization metaheuristics. The validity of the developed model is experimented using a comparative analysis of a wide set bridge elements and over a varying multi‐year maintenance plan. Comparison results reveal that ECDE‐based Sinusoidal algorithm improve the performance diagnostics of classical meta‐heuristics by values ranging from 49.2% to 73.1% over the multi‐year maintenance plans. It can be argued that the developed model could benefit transportation agencies in formulating flexible, sustainable, and cost‐effective maintenance strategies in addition to preserving the structural condition of designated bridges in the network. |
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10767325 - Publié(e) le:
17.04.2024 - Modifié(e) le:
17.04.2024