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Smart Structures and Systems
  Volume 26, Number 4, October 2020, pages 533-544
DOI: http://dx.doi.org/10.12989/sss.2020.26.4.533
 


BrDSS: A decision support system for bridge maintenance planning employing bridge information modeling
Mohammad Hosein Nili, Banafsheh Zahraie and Hosein Taghaddos

 
Abstract
    Effective bridge maintenance reduces bridge operation costs and extends its service life. The possibility of storing bridge life-cycle data in a 3D parametric model of the bridge through Bridge Information Modeling (BrIM) provides new opportunities to enhance current practices of bridge maintenance management. This study develops a Decision Support System (DSS), namely BrDSS, which employs BrIM and an efficient optimization model for bridge maintenance planning. The BrIM model in BrDSS extracts basic data of elements required for the optimization process and visualizes the inspection data and the optimization results to the user to help in decision makings. In the optimization module of the DSS, the specifically formulated Genetic Algorithm (GA) eliminates the chances of producing infeasible solutions for faster convergence. The practicality of the presented DSS was explored by utilizing the DSS in the maintenance planning of a bridge under operation in the southwest of Iran.
 
Key Words
    bridge maintenance management; maintenance optimization; Decision Support System (DSS); Genetic Algorithm (GA); Bridge Information Modeling (BrIM)
 
Address
(1) Mohammad Hosein Nili, Banafsheh Zahraie and Hosein Taghaddos:
School of Civil Engineering, College of Engineering, University of Tehran, Tehran, Iran
 

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