Skip to main content
Kent Academic Repository

Budget Optimization of Concrete Bridge Decks under Performance-Based Contract Settings

Alsharqawi, Mohammed, Abu Dabous, Saleh, Zayed, Tarek, Hamdan, Sadeque (2021) Budget Optimization of Concrete Bridge Decks under Performance-Based Contract Settings. Journal of Construction Engineering and Management, 147 (6). ISSN 0733-9364. E-ISSN 1943-7862. (doi:10.1061/(ASCE)CO.1943-7862.0002043) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:90705)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL:


Growing needs for maintenance, repair, and replacement (MRR) of existing transportation infrastructure signifies the importance of new and innovative contracting strategies. Among the emerging contracting methods in the area of transportation infrastructure management is long-term performance-based maintenance contracts, also known as performance-based contracting (PBC). To date, PBC has not been implemented in the area of bridge infrastructure maintenance management due to uncertainties in the bridge deterioration process and challenges in modeling performance. The main objective of this research is to develop short-and long-term optimal MRR plans for bridge decks under PBC settings. This objective necessitates the development of a performance model to define the current condition of bridges and predict their future deterioration rates. The performance model is essential to select appropriate MRR actions that enable planning these actions and estimating the needed budget. The research introduces an integrated condition as a key performance indicator of the bridge component (i.e., bridge deck). Further, an associated level of service (LOS) threshold is defined. The output of this research is a decision support model for selecting optimal rehabilitation strategies while maintaining a defined performance LOS and budget constraints. A modified genetic algorithm (GA) is developed to perform the optimization of resources under the defined LOS and is coded in MATLAB version R2014a software to perform the needed analysis. The decision support model is evaluated with a real case study for a bridge located in Quebec, Canada. Sensitivity analysis is performed to evaluate the impacts of the decision variables against the cost. For instance, the analysis proved that improving the LOS by 18 requires an increase of an MRR budget by about 51. Research findings concluded that integrating the PBC approach into the decision-making process offers better results in long-term plans. The focus of this study has mainly been on bridge decks. Future work may target expanding to the other bridge components and additional related assets. © 2021 American Society of Civil Engineers.

Item Type: Article
DOI/Identification number: 10.1061/(ASCE)CO.1943-7862.0002043
Uncontrolled keywords: Benchmarking; Budget control; Concretes; Decision making; Decision support systems; Deterioration; Genetic algorithms; Maintenance; MATLAB; Sensitivity analysis; Uncertainty analysis, Decision making process; Decision support models; Key performance indicators; Modified genetic algorithms; Performance-based contracting; Performance-based contracts; Transportation infrastructure managements; Transportation infrastructures, Bridge decks
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Sadeque Hamdan
Date Deposited: 09 Nov 2021 14:53 UTC
Last Modified: 04 Mar 2024 19:15 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.