TY - JOUR
T1 - Network-level optimisation approach for bridge interventions scheduling
AU - Mendoza-Lugo, Miguel Angel
AU - Nogal, Maria
AU - Morales-Nápoles, Oswaldo
PY - 2024
Y1 - 2024
N2 - This paper introduces a novel extension of the multi-system optimisation method, known as the 3C concept, tailored for optimising budget allocation for bridge interventions at the network level. This extended methodology accounts for the interdependencies among bridges due to their spatial proximity within the network. It incorporates direct and user costs, bridge performance indicators, and a bridge deterioration model. A real-world case study involving a portfolio of 555 bridges demonstrates the practicality of the methodology, efficiently determining the optimal intervention sequence. Over an 18-year analysis period, the proposed methodology achieved a 23% reduction in total costs by combining repairs for bridges with high to severe damage and maintenance for the others. This represents a significant improvement compared to the traditional approach, used by bridge management agencies, which relies exclusively on maintenance. The optimised procedure outperforms human intuition in managing complex bridge networks, particularly over extended periods. This methodology can assist transportation agencies in implementing and exploring various scenarios by adjusting the time between consecutive interventions and budget constraints, supporting comprehensive analysis and informed decision-making.
AB - This paper introduces a novel extension of the multi-system optimisation method, known as the 3C concept, tailored for optimising budget allocation for bridge interventions at the network level. This extended methodology accounts for the interdependencies among bridges due to their spatial proximity within the network. It incorporates direct and user costs, bridge performance indicators, and a bridge deterioration model. A real-world case study involving a portfolio of 555 bridges demonstrates the practicality of the methodology, efficiently determining the optimal intervention sequence. Over an 18-year analysis period, the proposed methodology achieved a 23% reduction in total costs by combining repairs for bridges with high to severe damage and maintenance for the others. This represents a significant improvement compared to the traditional approach, used by bridge management agencies, which relies exclusively on maintenance. The optimised procedure outperforms human intuition in managing complex bridge networks, particularly over extended periods. This methodology can assist transportation agencies in implementing and exploring various scenarios by adjusting the time between consecutive interventions and budget constraints, supporting comprehensive analysis and informed decision-making.
KW - Bridge network
KW - interventions
KW - maintenance
KW - mixed-integer linear programming
KW - multi-system
KW - optimisation
KW - repair
UR - http://www.scopus.com/inward/record.url?scp=85204730907&partnerID=8YFLogxK
U2 - 10.1080/15732479.2024.2403568
DO - 10.1080/15732479.2024.2403568
M3 - Article
AN - SCOPUS:85204730907
SN - 1573-2479
JO - Structure and Infrastructure Engineering
JF - Structure and Infrastructure Engineering
ER -