Integration of BIM Tools for the Facility Management of Railway Bridges
Source abstract
Abstract
Current railway infrastructure maintenance work, which is mostly carried out by visual inspection, has a reactive approach, dissociated information, and limited follow-up. On the other hand, railway bridges, being critical infrastructures, require effective monitoring and maintenance to guarantee their safety and operation over time. The designed tool links a parametric BIM model in Revit® with an automated spreadsheet in MS Excel® through visual programming in Dynamo, generating BIM/data automation as an initial step towards a digital twin. This achieves a bidirectional flow to exchange data on the structural condition of elements. The procedure was applied to a railway bridge in use for over 100 years, representing its geometry and damage information according to technical standards. The value lies in laying the foundations for adopting preventive approaches for this key infrastructure. The BIM/data automation allows the BIM model to visually reflect the condition of the elements, depending on their damage, consolidate the inspection information, and generate a visual management tool. In conclusion, the designed BIM/data automation improves the monitoring of railway bridges compared to traditional methods, facilitating the interaction and relationship between the damage records and the actual bridge elements, laying the foundations for the construction of digital twins.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: BIM and Construction Integration · Infrastructure Maintenance and Monitoring · 3D Surveying and Cultural Heritage
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Civil Engineering, Pontificia Universidad Católica de Valparaíso, Av. Brasil 2147, Valparaíso 2340000, Chile
Funding
Pontificia Universidad Católica de Valparaíso
References (81)
Show source-provided references
1. Frangopol, D.M., Beck, A.T., and Bittencourt, T.N. (2016, January 26–30). Maintenance, monitoring, safety, risk and resilience of bridges and bridge networks. Proceedings of the Eighth International Conference on Bridge Maintenance, Safety and Management (IABMAS 2016), Foz do Iguaçu, Brazil.
2. Park, G., Lee, J.H., and Yoon, H. (2021). Semantic structure from motion for railroad bridges using deep learning. Appl. Sci., 11.10.3390/app11104332 ↗
3. Tita, E.E., Watanabe, G., Shao, P., and Arii, K. (2023). Development and Application of Digital Twin–BIM Technology for Bridge Management. Appl. Sci., 13.10.3390/app13137435 ↗
4. Recent vibration-based structural health monitoring on steel bridges: Systematic literature review10.1016/j.asej.2023.102501 ↗
5. Tung, P.-C., Hwang, Y.-R., and Wu, M.-C. (2023, December 01). The Development of a Mobile Manipulator Imaging System for Bridge Crack Inspection. Available online: www.elsevier.com/locate/autcon.
6. Evaluation of a strain monitoring system for existing steel railway bridges10.1016/j.jcsr.2011.12.006 ↗
7. A semi-autonomous mobile robot for bridge inspection10.1016/j.autcon.2018.02.013 ↗
8. Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments10.1007/s13349-016-0191-6 ↗
9. Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures10.1016/j.compind.2023.103881 ↗
10. Resilience and Sustainability of Civil Infrastructure: Toward a Unified Approach10.1061/(ASCE)IS.1943-555X.0000177 ↗
11. A parametric BIM approach to foster bridge project design and analysis10.1016/j.autcon.2021.103679 ↗
12. Using 3D laser scanning for estimating the capacity of corroded steel bridge girders: Experiments, computations and analytical solutions10.1016/j.engstruct.2022.114407 ↗
13. Kaewunruen, S., Sresakoolchai, J., and Zhou, Z. (2020). Sustainability-based lifecycle management for bridge infrastructure using 6D BIM. Sustainability, 12.10.3390/su12062436 ↗
14. Integration of Information and Automation Technologies in Bridge Engineering and Management: Extending the State of the Art10.1177/0361198106197600101 ↗
15. (2024, July 09). NBR9452—Arquivo para Impressão. Available online: https://pdfcoffee.com/nbr9452-arquivo-para-impressao-pdf-free.html.
16. (2024, July 09). DNIT Inspeções em Pontes e Viadutos de Concreto Armado e Protendido—Procedimento, Available online: https://www.gov.br/dnit/pt-br/assuntos/planejamento-e-pesquisa/ipr/coletanea-de-normas/coletanea-de-normas/procedimento-pro/DNIT_010_2004_PRO.
17. Brasileira, N. (2024, July 09). ABNT NBR. Available online: www.abnt.org.br.
18. Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers10.1016/j.compind.2021.103558 ↗
19. Mohammadi, M., Rashidi, M., Mousavi, V., Yu, Y., and Samali, B. (2022). Application of TLS Method in Digitization of Bridge Infrastructures: A Path to BrIM Development. Remote Sens., 14.10.3390/rs14051148 ↗
20. A survey of automation-enabled human-in-the-loop systems for infrastructure visual inspection10.1016/j.autcon.2018.10.019 ↗
21. Inspection of Concrete Bridge Structures: Case Study Comparing Conventional Techniques with a Virtual Reality Approach10.1061/(ASCE)BE.1943-5592.0001759 ↗
22. Methodological-Technological Framework for Construction 4.010.1007/s11831-020-09455-9 ↗
23. Cano, M., Pastor, J.L., Tomás, R., Riquelme, A., and Asensio, J.L. (2022). A New Methodology for Bridge Inspections in Linear Infrastructures from Optical Images and HD Videos Obtained by UAV. Remote Sens., 14.10.3390/rs14051244 ↗
24. Performance assessment of steel truss railway bridge with curved track10.14311/AP.2022.62.0558 ↗
25. Indika, W.A., Wijesooriya, P., Siriwardane, S.C., Dissanayake, P.B.R., and Wijesooriya, P. (2015, January 25–27). Vibration measurement-based simple technique for structural appraisal of steel bridges. Proceedings of the 5th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering, Crete Island, Greece.10.7712/120115.3558.1262 ↗
26. Popescu, C., Täljsten, B., Blanksvärd, T., Sas, G., Jimenez, A., Gärdin, D.C., Elfgren, L., and Carolin, A. (2019). Optical methods and wireless sensors for monitoring of bridges. IABSE Symposium, Guimaraes 2019: Towards a Resilient Built Environment Risk and Asset Management—Report, International Association for Bridge and Structural Engineering (IABSE).10.2749/guimaraes.2019.1191 ↗
27. Aglietti, A., Biagini, C., Bongini, A., and Ottobri, P. (2023). Historic bridges monitoring through sensor data management with bim methodologies. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences—ISPRS Archives, International Society for Photogrammetry and Remote Sensing.10.5194/isprs-archives-XLVIII-M-2-2023-33-2023 ↗
28. A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives10.1007/s11831-021-09665-9 ↗
29. Carnevale, M., Collina, A., and Peirlinck, T. (2019). A feasibility study of the drive-by method for damage detection in railway bridges. Appl. Sci., 9.10.3390/app9010160 ↗
30. Development of a Bridge Maintenance System Using Bridge Information Modeling
31. Thomson, I., and Angerstein, D. (2000). Historia del Ferrocarril en Chile, DIBAM, Centro de Investigaciones Diego Barros Arana.
32. Damage evaluation of railway structures by using train-induced AE10.1016/j.conbuildmat.2003.10.011 ↗
33. Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes10.1016/j.jobe.2022.104028 ↗
34. Korrosionsschutztechnologie für Montageschweißstöße einer feuerverzinkten Stahlbrücke10.1002/stab.201720454 ↗
35. Modelling Railway Bridge Asset Management10.1177/0954409713490924 ↗
36. Adasooriya, N., and Siriwardane, S.C. (2015, January 23–25). Remaining fatigue life estimation of railway bridge members subjected to time-dependent corrosion. Proceedings of the IABSE Conference, Geneva 2015: Structural Engineering: Providing Solutions to Global Challenges—Report, Geneva, Switzerland.10.2749/222137815818358321 ↗
37. Multi-defect modelling of bridge deterioration using truncated inspection records10.1016/j.ress.2020.106962 ↗
38. Assessment of Railway Steel Bridge Structures10.1016/j.proeng.2016.08.270 ↗
39. Akcamete, A., Akinci, B., and Garrett, J.H. (2024, July 09). Potential Utilization of Building Information Models for Planning Maintenance Activities. Available online: https://www.researchgate.net/publication/260056325.
40. Existing assets maintenance management: Optimizing maintenance procedures and costs through BIM tools10.1016/j.autcon.2023.104788 ↗
41. Elyasi, N., Bellini, A., and Klungseth, N.J. (2023, January 11). Digital transformation in facility management: An analysis of the challenges and benefits of implementing digital twins in the use phase of a building. Proceedings of the IOP Conference Series: Earth and Environmental Science, Trondheim, Norway.10.1088/1755-1315/1176/1/012001 ↗
42. A digital twin framework for civil engineering structures10.1016/j.cma.2023.116584 ↗
43. The Information Requirements for Transportation Industry’s Facilities Management Based on BIM10.2174/1874836801711010136 ↗
44. Understanding the perception differences on BIM adoption factors across the professions of AEC industry10.1016/j.asej.2023.102545 ↗
45. El-Din, M.N., Pereira, P.F., Martins, J.P., and Ramos, N.M.M. (2022). Digital Twins for Construction Assets Using BIM Standard Specifications. Buildings, 12.10.3390/buildings12122155 ↗
46. Park, C., Pour Rahimian, F., Dawood, N., Pedro, A., Dongmin, L., Hussain, R., and Soltani, M. (2023). Digitalization in Construction Recent Trends and Advances, Taylor & Francis.10.1201/9781003408949 ↗
47. Development of BIM-Based Digital Twin Model for Fatigue Assessment in Metallic Railway Bridges10.24840/2183-6493_009-005_001565 ↗
48. Kaewunruen, S., AbdelHadi, M., Kongpuang, M., Pansuk, W., and Remennikov, A.M. (2022). Digital Twins for Managing Railway Bridge Maintenance, Resilience, and Climate Change Adaptation. Sensors, 23.10.3390/s23010252 ↗
49. Building Information Modeling (BIM) for transportation infrastructure—Literature review, applications, challenges, and recommendations10.1016/j.autcon.2018.07.001 ↗
50. Digital Twin: Generalization, characterization and implementation10.1016/j.dss.2021.113524 ↗
51. Multimedia knowledge-based bridge health monitoring using digital twin10.1007/s11042-021-10649-x ↗
52. The concept of digital twin and digital shadow in manufacturing10.1016/j.procir.2021.02.010 ↗
53. A scientometric analysis of BIM studies in facilities management10.1108/IJBPA-04-2018-0035 ↗
54. About the importance of autonomy and digital twins for the future of manufacturing10.1016/j.ifacol.2015.06.141 ↗
55. Lawrence, C., Tuunanen, T., and Myers, M.D. (April, January 30). Extending Design Science Research Methodology for a Multicultural World. Proceedings of the Human Benefit through the Diffusion of Information Systems Design Science Research: IFIP WG 8.2/8.6 International Working Conference, Perth, Australia.
56. Peffers, K., Tuunanen, T., and Rossi, M. (2023, December 01). The Design Science Research Process: A Model for Producing and Presenting Information Systems Research. Available online: https://www.researchgate.net/publication/238077290.
57. Historia y futuro del mantenimiento y la vigilancia de los puentes ferroviarios10.33586/hya.2021.3044 ↗
58. Application and enabling digital twin technologies in the operation and maintenance stage of the AEC industry: A literature review10.1016/j.jobe.2023.107859 ↗
59. Enhanced assessment of the remaining service life of a steel railway bridge10.4028/www.scientific.net/KEM.413-414.245 ↗
60. Technology developments in structural health monitoring of large-scale bridges10.1016/j.engstruct.2005.02.021 ↗
61. Secondary AE Techniques for Non-Destructive Inspection of Railway Structures10.2219/rtriqr.44.154 ↗
62. Singular value decomposition and unsupervised machine learning for virtual strain sensing: Application to an operational railway bridge10.1016/j.istruc.2023.105417 ↗
63. Global methodology for damage detection and localization in civil engineering structures10.1016/j.engstruct.2018.06.026 ↗
64. Estimation of the current structural reliability level of existing railway bridges and viaducts10.7409/rabdim.021.017 ↗
65. Kale, A., Kassa, Y., Ricks, B., and Gandhi, R. (2023). A Comparative Assessment of Bridge Deck Wearing Surfaces: Performance, Deterioration, and Maintenance. Appl. Sci., 13.10.3390/app131910883 ↗
66. Seo, M.B., and Lee, D. (2020). Development of railway infrastructure bim prototype libraries. Appl. Sci., 10.10.3390/app10228118 ↗
67. Ospina-Bohórquez, A., López-Rebollo, J., Muñoz-Sánchez, P., and González-Aguilera, D. (2023). A Digital Twin for Monitoring the Construction of a Wind Farm. Infrastructures, 8.10.3390/infrastructures8010010 ↗
68. A Review of the Roles of Digital Twin in CPS-based Production Systems10.1016/j.promfg.2017.07.198 ↗
69. Digital twin application in the construction industry: A literature review10.1016/j.jobe.2021.102726 ↗
70. Development and application of digital twin technology for integrated regional energy systems in smart cities
71. Hosamo, H.H., Nielsen, H.K., Alnmr, A.N., Svennevig, P.R., and Svidt, K. (2022). A review of the Digital Twin technology for fault detection in buildings. Front. Built Environ., 8.10.3389/fbuil.2022.1013196 ↗
72. Digital twin and its implementations in the civil engineering sector10.1016/j.autcon.2021.103838 ↗
73. Anales del Instituto de Ingenieros de Chile (2014). Puente Sobre el río Aconcagua en el Ferrocarril de San Pedro al Puerto de Quintero, Anales del Instituto de Ingenieros de Chile. Available online: https://rchdt.uchile.cl/index.php/AICH/article/view/33763.
74. ADIF (2024, July 09). Inspección Principal de Puentes de Ferrocarril. NAP 2-4-1.0. Norma ADIF Plataforma. Segunda Edición: Enero 2023. Available online: https://drive.google.com/drive/folders/1FMI4yRUPQMK3AFyYt_FLKVnq07RC5NUf?usp=sharing.
75. Building Information Modeling (BIM) for existing buildings—Literature review and future needs10.1016/j.autcon.2013.10.023 ↗
76. Building information modelling for airport facility management: The case of a US airport10.1680/jinam.22.00019 ↗
77. BIM and ontology-based knowledge management for dam safety monitoring10.1016/j.autcon.2022.104649 ↗
78. Bim-Based Risk Identification System in tunnel construction10.3846/13923730.2015.1023348 ↗
79. Castañeda, K., Sánchez, O., Herrera, R.F., Gómez-Cabrera, A., and Mejía, G. (2024). Building Information Modeling Uses and Complementary Technologies in Road Projects: A Systematic Review. Buildings, 14.10.3390/buildings14030563 ↗
80. Liu, Z., Chi, Z., Osmani, M., and Demian, P. (2021). Blockchain and building information management (Bim) for sustainable building development within the context of smart cities. Sustainability, 13.10.3390/su13042090 ↗
81. Planning utility infrastructure requirements for smart cities using the integration between BIM and GIS10.1016/j.scs.2020.102120 ↗