An Integral Fuzzy Model to Evaluate Slab and Beam Bridges with a Preventive Approach

Bridges, owing to their intricacy, represent pivotal yet relatively underexplored assets within the domain of maintenance services in civil engineering. While international evaluation methodologies exist to gauge the overall condition of bridges, they often fall short in establishing interrelationships among individual elements, thereby neglecting insights into the influence exerted by each element’s condition on the bridge’s overall performance. This research introduces an integral fuzzy model evaluation with a preventive approach, designed to assess both the integral condition of a bridge and its constituent elements. Furthermore, the study generates maintenance recommendations, subsequently evaluated by professionals to determine the most suitable course of action based on available resources. To validate the efficacy of the proposed model, a case study involving Bridge 15-016-00.0-0-04.0 PIV, known as “La Cuesta” in Mexico, is presented. The findings indicate that the bridge is in a satisfactory condition and warrants high-priority attention. Bridge analysis is compared with evaluations conducted using the methods of the Secretariat of Infrastructure, Communications, and Transportation (SICT), the American Association of State Highway and Transportation Officials (AASHTO), and the Ministry of Transport and Communications of Peru. The comparative evaluation reveals that our proposed model provides a more detailed representation of deterioration, facilitating more efficient maintenance planning by considering the hierarchical relationships between the bridge’s modules and elements.

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Publication Details

Journal
Applied Sciences
Published
2025-07-26
DOI
https://doi.org/10.3390/app15158333
Primary Topic
Infrastructure Maintenance and Monitoring
Type
article
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article

An Integral Fuzzy Model to Evaluate Slab and Beam Bridges with a Preventive Approach

Luis Alberto Morales-Rosales, Mariano Vargas-Santiago, Juan Carlos López-Pimentel, José Eleazar Arreygue-Rocha et al.
Applied Sciences
Infrastructure Maintenance and Monitoring
article

An Integral Fuzzy Model to Evaluate Slab and Beam Bridges with a Preventive Approach

Luis Alberto Morales-Rosales, Mariano Vargas-Santiago, Juan Carlos López-Pimentel, José Eleazar Arreygue-Rocha, Manuel Jara Díaz, Paola Arriaga-Orejel
article en

Abstract

Bridges, owing to their intricacy, represent pivotal yet relatively underexplored assets within the domain of maintenance services in civil engineering. While international evaluation methodologies exist to gauge the overall condition of bridges, they often fall short in establishing interrelationships among individual elements, thereby neglecting insights into the influence exerted by each element’s condition on the bridge’s overall performance. This research introduces an integral fuzzy model evaluation with a preventive approach, designed to assess both the integral condition of a bridge and its constituent elements. Furthermore, the study generates maintenance recommendations, subsequently evaluated by professionals to determine the most suitable course of action based on available resources. To validate the efficacy of the proposed model, a case study involving Bridge 15-016-00.0-0-04.0 PIV, known as “La Cuesta” in Mexico, is presented. The findings indicate that the bridge is in a satisfactory condition and warrants high-priority attention. Bridge analysis is compared with evaluations conducted using the methods of the Secretariat of Infrastructure, Communications, and Transportation (SICT), the American Association of State Highway and Transportation Officials (AASHTO), and the Ministry of Transport and Communications of Peru. The comparative evaluation reveals that our proposed model provides a more detailed representation of deterioration, facilitating more efficient maintenance planning by considering the hierarchical relationships between the bridge’s modules and elements.

Applied SciencesVol. 15(15)
Universidad Michoacana de San Nicolás de Hidalgo (MX), Secretaría de Ciencia Tecnología e Innovación (MX), Universidad Panamericana (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Infrastructure Maintenance and Monitoring
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