journal article·2025-07-26Open access

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

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

Applied Sciences· Volume 15· Issue 15

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Infrastructure Maintenance and Monitoring · Concrete Corrosion and Durability · Structural Health Monitoring Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico

SECIHTI-Universidad Michoacana de San Nicolás de Hidalgo, Morelia 58030, Mexico

Secretaría de Ciencia Humanidades, Tecnología e Innovación, Ciudad de México 03940, Mexico

Facultad de Ingeniería, Universidad Panamericana, Álvaro del Portillo 49, Zapopan 45010, Mexico

Funding

Secretaria de Ciencia, Humanidades, Tecnología e Innovación

References (27)

Show source-provided references
1. Dirección General de Servicios Técnicos (2018). Manual Para Conservación de Puentes y Estructuras Similares 2018, Secretaría de Comunicaciones y Transportes.
2. Secretaría de Comunicaciones y Transportes, SCT (2013). Manual de Diseño Geométrico de Carreteras, Dirección General de Servicios Técnicos.
3. American Association of State Highway and Transportation Officials (2010). AASHTO Bridge Element Inspection Guide Manual, American Association of State Highway and Transportation Officials. [1st ed.].
4. Ministry of Transportation, Bridge Office Ministry of Transportation (2008). Ontario Structure Inspection Manual (OSIM), Ministry of Transportation, Bridge Office Ministry of Transportation.
5. Dirección General de Caminos y Ferrocarriles (2006). Directiva N° 01-2006-MTC/14 GUÍA PARA Inspección de Puentes, Ministerio de Transportes y Comunicaciones República del Perú.
6. Committee of Transport Officials (2018). Manual for the Visual Assessment of Road Structures, The South African National Roads Agency SOC Limited.
7. Numerical predictions of progressive collapse in reinforced concrete beam-column sub-assemblages: A focus on 3D multiscale modeling10.1016/j.engstruct.2024.118485 ↗
8. A novel method for calculating the ultimate bearing capacity of in-service RC arch bridges using sectional constitutive relation10.1016/j.apm.2024.115829 ↗
9. An efficient Bayesian method with intrusive homotopy surrogate model for stochastic model updating10.1111/mice.13206 ↗
10. A lightweight convolutional neural network for multipoint displacement measurements on bridge structures10.1007/s11071-024-09673-x ↗
11. Rogulj, K., Kilić Pamuković, J., and Jajac, N. (2021). Knowledge-based fuzzy expert system to the condition assessment of historic road bridges. Appl. Sci., 11.10.3390/app11031021 ↗
12. Fuzzy based bridge structural health rating of existing bridges using accelerometer sensors: Case of Zamora Bridge10.1051/matecconf/201820601013 ↗
13. Determining the priority criteria and ranking of provincial bridge maintenance in West Sumatra using a combination of the Fuzzy Analytical Hierarchy Process and VIKOR-Modification methods10.1088/1757-899X/602/1/012105 ↗
14. Risk score inference for bridge maintenance project using evolutionary fuzzy least squares support vector machine10.1061/(ASCE)CP.1943-5487.0000275 ↗
15. Xin, J., Wang, C., Tang, Q., Zhang, R., and Yang, T. (2023). An evaluation framework for construction quality of bridge monitoring system using the DHGF method. Sensors, 23.10.3390/s23167139 ↗
16. Dirección General de Servicios Técnicos (2018). Manual Para Inspección de Puentes 2018, Secretaría de Comunicaciones y Transportes.
17. Grupo Técnico Convenio (2006). Manual para la Inspección Visual de Puentes y Pontones.
18. Ministerio de Obras Públicas y Transportes (MOPT) (2007). Manual de Inspección de Puentes, Ministerio de Obras Públicas y Transportes (MOPT).
19. Fuzzy concrete bridge deck condition rating method for practical bridge management system10.1016/j.eswa.2009.04.043 ↗
20. Condition state evaluation of existing reinforced concrete bridges using neuro-fuzzy hybrid system10.1016/S0045-7949(03)00213-X ↗
21. Analytical hierarchy process (AHP), fuzzy AHP, and TOPSIS for determining bridge maintenance priority scale in Banjarsari, Surakarta10.20961/ijsascs.v2i1.16680 ↗
22. Medvediev, K., Kharchenko, A., Stakhova, A., Yevseichyk, Y., Tsybulskyi, V., and Bekö, A. (2024). Methodology for Assessing the Technical Condition and Durability of Bridge Structures. Infrastructures, 9.10.3390/infrastructures9010016 ↗
23. Fuzzy-logic framework for updating the seismic fragility of deteriorating bridges via visual inspections10.1016/j.soildyn.2023.108105 ↗
24. Live migration of virtual machines using a mamdani fuzzy inference system
25. Sánchez, I.P. (2012). Medidas eficientes en la conservación de puentes. Retos de la Ingeniería Civil: Sociedad, Economía, Medio Ambiente, Fundación Dialnet.
26. Puppala, A.J., Saride, S., Archeewa, E., Hoyos, L.R., and Nazarian, S. (2009). Recommendations for Design, Construction, and Maintenance of Bridge Approach Slabs: Synthesis Report, The University of Texas at Arlington.
27. Alampalli, S. (2014). Bridge maintenance. Bridge Engineering Handbook (2nd Edition): Construction and Maintenance, CRC Press.10.1201/b16467-12 ↗