Desempeño operativo y resiliencia climática en terracerías del Frente 4 del tren AIFA–Pachuca
Operational Performance and Climate Resilience in Earthworks of Front 4, AIFA–Pachuca Railway
DOI:
https://doi.org/10.56712/latam.v7i2.5815Palabras clave:
terracerías ferroviarias, resiliencia climática, compactación, logística de acarreo, control de calidadResumen
Se analizó el desempeño operativo de las terracerías del Frente 4 del tren AIFA–Pachuca durante la temporada de lluvias de 2025. El objetivo fue identificar los factores que afectaron la continuidad productiva y proponer ajustes técnicos y logísticos para mejorar la ejecución de plataformas y terraplenes ferroviarios. Se empleó un enfoque aplicado, no experimental y descriptivo, sustentado en la observación directa, bitácoras de campo, registros operativos, el control de acarreos y la revisión de procedimientos de compactación y calidad. Se examinaron el suministro de material, la respuesta de la maquinaria pesada, la transitabilidad de los caminos de acarreo y la recuperación operativa tras eventos de lluvia. Los resultados mostraron que la saturación de caminos, la interrupción del acarreo y los tiempos muertos por reabastecimiento redujeron el rendimiento real respecto del programado; no obstante, el saneamiento oportuno de los accesos, la redistribución del equipo y la descentralización del suministro de diésel permitieron restablecer la producción diaria. Se concluyó que la eficiencia de las terracerías ferroviarias en entornos climáticamente adversos depende de la coordinación logística, del control de la compactación y de protocolos adaptativos basados en el monitoreo topográfico y meteorológico.
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American Association of State Highway and Transportation Officials. (2022). AASHTO T 180-22: Standard method of test for moisture-density relations of soils using a 4.54-kg (10-lb) rammer and a 457-mm (18-in.) drop. AASHTO.
Aqib, M., Kumar, A., & Sharma, K. G. (2023). Experimental and numerical analysis of rainfall-induced slope failure of railway embankment of semi high-speed trains. Journal of Engineering and Applied Science, 70, 25. https://doi.org/10.1186/s44147-023-00188-7
Araújo, L. G., & Lucko, G. (2022). Best practices for case studies in construction engineering and management research. Journal of Construction Engineering and Management, 148(8). https://doi.org/10.1061/(ASCE)CO.1943-7862.0002312
ASTM International. (2021). ASTM D1557-12(2021): Standard test methods for laboratory compaction characteristics of soil using modified effort. ASTM International.
Avar, B., Haliburton, M., Smith, S., & Indoe, J.-P. (2024). Improving the climate resilience of railway earthworks: Case studies from Southeast England. En Geo-Resilience 2023 Conference Proceedings. https://doi.org/10.53243/Geo-Resilience-2023-2-2
Baek, S.-H., Cho, J.-W., & Kim, J.-Y. (2025). Field study on intelligent compaction for compaction quality control of subgrade bases. Canadian Geotechnical Journal, 62, 1–14. https://doi.org/10.1139/cgj-2024-0300.
Campos, P. C. de O., Rosa, D. L., Marques, M. E. S., & Paz, I. (2024). Predisposition to mass movements on railway slopes: Insights from field data on geotechnical and pluviometric influences. Infrastructures, 9(10), 168. https://doi.org/10.3390/infrastructures9100168
Caterpillar Inc. (2021). Caterpillar performance handbook (50th ed.). Caterpillar Inc.
Deng, T., Sharafat, A., Lee, S., & Seo, J. (2024). Automatic vision-based dump truck productivity measurement based on deep-learning illumination enhancement for low-visibility harsh construction environment. Journal of Construction Engineering and Management, 150(11). https://doi.org/10.1061/JCEMD4.COENG-14194
Fan, J., Zhang, Y., Peng, Y., Xing, Z., Yuan, K., Cui, J., Liu, B., & Zhou, W. (2025). Study on the disaster mechanism and prevention technology of embankment slip-collapse after extreme rainfall in the loess area. Scientific Reports, 15, 20613. https://doi.org/10.1038/s41598-025-04920-6
Fernandes, P. G. P. S., Rocha, C. G., Barros Neto, J. de P., Heineck, L. F. M., & Costa, D. B. (2023). Optimization of earthworks planning: A systematic mapping study. Canadian Journal of Civil Engineering. https://doi.org/10.1139/cjce-2022-0185
Gransberg, D. D., Popescu, C. M., & Ryan, R. C. (2008). Construction equipment management for engineers, estimators, and owners. CRC Press. https://doi.org/10.1201/9781420013993
Haghighi, E., Kasraei, A., Famurewa, S., Strandberg, G., Sas, G., & Garmabaki, A. H. S. (2025). Climate change risks on railway infrastructure: A systematic review and analysis. Sustainable Cities and Society, 129, 106504. https://doi.org/10.1016/j.scs.2025.106504
Hernández-Sampieri, R., Fernández-Collado, C., & Baptista-Lucio, P. (2014). Metodología de la investigación (6.ª ed.). McGraw-Hill Education.
Hwang, J., Jeong, I., Kim, J., & Chi, S. (2025). Web-based multi-vision platform for earthwork productivity on construction sites using real-time model updating. Frontiers of Structural and Civil Engineering, 19, 1021–1040. https://doi.org/10.1007/s11709-025-1197-0
Indraratna, B., Nguyen, T. T., Atapattu, S., Ngo, T., & Rujikiatkamjorn, C. (2024). Subgrade soil response to rail loading: Instability mechanisms, causative factors, and preventive measures. Transportation Geotechnics, 46, 101267. https://doi.org/10.1016/j.trgeo.2024.101267
International Organization for Standardization. (2011). ISO 15686-1:2011, Buildings and constructed assets—Service life planning—Part 1: General principles and framework. ISO. https://www.iso.org/standard/45798.html
Kempecova, D., & Kozlovská, M. (2023). Sensing technologies for construction productivity monitoring. MATEC Web of Conferences, 385, 01032. https://doi.org/10.1051/matecconf/202338501032
Kerlinger, F. N., & Lee, H. B. (2000). Foundations of behavioral research (4th ed.). Harcourt College Publishers.
Kumar, M., & Hayano, K. (2024). Variation of the groundwater table within Indian railway embankments in consideration of climate change. Sustainability, 16(14), 6143. https://doi.org/10.3390/su16146143
Li, D., Hyslip, J., Sussmann, T., & Chrismer, S. (2015). Railway geotechnics. CRC Press. https://doi.org/10.1201/b18982
Liu, K., Wang, Q., Wang, M., & Koks, E. E. (2023). Global transportation infrastructure exposure to the change of precipitation in a warmer world. Nature Communications, 14, 2541. https://doi.org/10.1038/s41467-023-38203-3
Ma, Z., Xu, H., Zhao, Q., y colaboradores. (2025). Real-time multi-objective optimization and simulation of intelligent compaction for railway subgrade construction. Transportation Geotechnics, 57, 101848. https://doi.org/10.1016/j.trgeo.2025.101848
Manoharan, K., Dissanayake, P., Pathirana, C., Deegahawature, D., & Silva, R. (2024). A case study on the site supervisory attributes in construction labour management, performance assessment, and productivity measurement practices. Journal of Responsible Production and Consumption, 1(1), 37–61. https://doi.org/10.1108/JRPC-01-2024-0001
Patton, M. Q. (2002). Qualitative research & evaluation methods (3rd ed.). Sage Publications.
Proyectos México. (2025). Tren México–Pachuca: Tramo AIFA–Pachuca. (Ficha del proyecto; consultada para el contexto del caso).
Radman, K., Jelodar, M. B., Lovreglio, R., Ghazizadeh, E., & Wilkinson, S. (2025). Real-time tracking and analysis in construction projects: A RealCONs framework. Advanced Engineering Informatics, 67, 103511. https://doi.org/10.1016/j.aei.2025.103511
Rogage, K., Mahamedi, E., Brilakis, I., & Kassem, M. (2022). Beyond digital shadows: A digital twin for monitoring earthwork operation in large infrastructure projects. AI in Civil Engineering, 1(1), 7. https://doi.org/10.1007/s43503-022-00009-5
Rojas Vivanco, J. A., Breul, P., Talon, A., Benz-Navarrete, M. A., Barbier, S., & Haddani, Y. (2024). Importance of geotechnical diagnosis in railway management: A review. Transportation Engineering. https://doi.org/10.1016/j.treng.2024.100293
Sanda, Y. N., Anigbogu, N. A., Izam, Y. D., & Nuhu, L. Y. (2021). Designing case study research in construction management. Journal of Surveying, Construction and Property, 12(1), 27–35. https://doi.org/10.22452/jscp.vol12no1.3
Secretaría de Infraestructura, Comunicaciones y Transportes. (2016). N·CTR·CAR·1·01·009/16, Terraplenes. Instituto Mexicano del Transporte. https://normas.imt.mx/storage/normativa/N-CTR-CAR-1-01-009-16.pdf
Secretaría de Infraestructura, Comunicaciones y Transportes. (2019). M·MMP·1·10/19, Grado de compactación. Instituto Mexicano del Transporte. https://normas.imt.mx/storage/normativa/M-MMP-1-10-19.pdf
Secretaría de Infraestructura, Comunicaciones y Transportes. (2020). M·MMP·1·16/20, Grado de compactación con deflectómetro de impacto ligero (LWD). Instituto Mexicano del Transporte. https://normas.imt.mx/storage/normativa/M-MMP-1-16-20.pdf
Secretaría de Infraestructura, Comunicaciones y Transportes. (2021a). N·CMT·1·02/21, Materiales para subyacente. Instituto Mexicano del Transporte. https://normas.imt.mx/storage/normativa/N-CMT-1-02-21.pdf
Secretaría de Infraestructura, Comunicaciones y Transportes. (2021b). N·CMT·1·03/21, Materiales para subrasante. Instituto Mexicano del Transporte. https://normas.imt.mx/storage/normativa/N-CMT-1-03-21.pdf
Secretaría de Infraestructura, Comunicaciones y Transportes. (2022). M·MMP·1·09/22, Prueba de compactación dinámica. Instituto Mexicano del Transporte. https://normas.imt.mx/storage/normativa/M-MMP-1-09-22.pdf
SICAC. (2025). Alcance técnico del laboratorio [Documento técnico interno, fecha de revisión 2025-08-01].
Soleimani-Chamkhorami, K., Karbalaie, A., Kasraei, A., Haghighi, E., Famurewa, S. M., & Garmabaki, A. H. S. (2024). Identifying climate-related failures in railway infrastructure using machine learning. Transportation Research Part D: Transport and Environment, 135, 104371. https://doi.org/10.1016/j.trd.2024.104371
Šopić, M., Vukomanović, M., & Car-Pušić, D. (2024). Machine cost-effectiveness in earthworks: Early warning system and status of the previous work period. Sustainability, 16(17), 7294. https://doi.org/10.3390/su16177294
Vivanco, J. R., Breul, P., Talon, A., Benz-Navarrete, M. A., Barbier, S., & Haddani, Y. (2024). Importance of geotechnical diagnosis in railway management: A review. Transportation Engineering, 18, 100293. https://doi.org/10.1016/j.treng.2024.100293
Wang, X., Ma, G., y colaboradores. (2024). Developing a real-time compaction quality assessment methodology for subgrade based on semi-supervised co-training. Transportation Geotechnics, 49, 101412. https://doi.org/10.1016/j.trgeo.2024.101412
Watanabe, K., Nakajima, S., Fujiwara, T., Yoshii, K., & Venkatappa Rao, G. (2021). Construction and field measurement of high-speed railway test embankment built on Indian expansive soil "Black Cotton Soil". Soils and Foundations, 61(1), 218–238. https://doi.org/10.1016/j.sandf.2020.08.008
Woźniak, Z., & Hoła, B. (2024). Analysing near-miss incidents in construction: A systematic literature review. Applied Sciences, 14(16), 7260. https://doi.org/10.3390/app14167260
Xie, K., Chen, X., Yao, J., Li, T., Wang, Y., Deng, Z., & Lü, X. (2024). Vibration compaction mechanism of high-speed railway fillers based on the dynamic evolution of coarse particles. Chinese Journal of Geotechnical Engineering, 46(4), 803–813. https://doi.org/10.11779/CJGE20230030
Zhou, H., Ma, F., Yu, X., & Zheng, G. (2024). Fragility assessment for the rainfall-induced embankments on silty soils. Frontiers in Built Environment, 10, 1389576. https://doi.org/10.3389/fbuil.2024.1389576
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Derechos de autor 2026 Luis Fernando de la Cruz Castro, Humberto Iván Navarro Gómez, Jesús Emmanuel Cerón Carballo, Mauricio Guerrero Rodríguez

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