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Using genetic algorithms for long-term planning of network of bridges

Alikhani, H ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.24200/sci.2017.4604
  3. Publisher: Sharif University of Technology , 2019
  4. Abstract:
  5. Bridge maintenance activities are often budgeted, scheduled, and conducted for networks of bridges with different ages, types, and conditions, which can make bridge network maintenance management challenging. In this study, we propose an improved maintenance planning model based on genetic algorithm for a network of bridges to bring a long-term perspective to the lifespan of bridges. To test the applicability and efficiency of the model, it was applied to a network of 100 bridges in one of the south-western provinces of Iran. The results of the model implementation showed considerable potential for improvement over the currently adopted model for bridge maintenance planning. © 2019 Sharif University of Technology. All rights reserved
  6. Keywords:
  7. Budgeting ; Asset management ; Budget control ; Genetic algorithms ; Planning ; Bridge maintenance ; Bridge networks ; Different ages ; Life span ; Long term planning ; Long-term perspective ; Maintenance planning ; Model implementation ; Maintenance ; Bridge ; Efficiency measurement ; Genetic algorithm ; Long-term change ; Numerical model
  8. Source: Scientia Iranica ; Volume 26, Issue 5 A , 2019 , Pages 2653-2664 ; 10263098 (ISSN)
  9. URL: http://scientiairanica.sharif.edu/article_4604.html