Acceso abierto

Asset Management of Existing Concrete Bridges Using Digital Twins and BIM: a State-of-the-Art Literature Review


Cite

1. Woodward R, Cullington D W, Daly A F, Vassie P R, Haardt P, Kashner R, Astudillo R, Velando C, Godart B & Cremona C: “Bridge management in Europe (BRIME) -Deliverable D14”. Final Report, 2001. Search in Google Scholar

2. Hurt M & Schrock S: “Highway Bridge Maintenance Planning and Scheduling”. Chapter 1, “Introduction”, 2016, pp. 1–30.10.1016/B978-0-12-802069-2.00001-5 Search in Google Scholar

3. Khan M A: “Accelerated Bridge Construction”, Butterworth-Heinemann, Boston, USA, 2015, pp. 53–102.10.1016/B978-0-12-407224-4.00002-2 Search in Google Scholar

4. Powers N, Frangopol D M, Al-Mahaidi R & Caprani C: “Maintenance, safety, risk, management and life-cycle performance of bridges”, CRC Press, London, UK, 2018, p. 219–225.10.1201/9781315189390 Search in Google Scholar

5. Darbani B M & Hammad A: “Critical review of new directions in bridge management systems”. Computing in Civil Engineering, 2007, pp. 330–337.10.1061/40937(261)41 Search in Google Scholar

6. Boje C, Guerriero A, Kubicki S & Rezgui Y: “Towards a semantic Construction Digital Twin: Directions for future”. Automation in Construction, Vol. 114, No. 103179, 2020.10.1016/j.autcon.2020.103179 Search in Google Scholar

7. Grieves M & Vickers J: “Digital Twin: mitigating unpredictable, undesirable emergent behavior in complex systems”, Transdisciplinary Perspectives on Complex Systems, Springer, Cham, 2017, pp. 85–113.10.1007/978-3-319-38756-7_4 Search in Google Scholar

8. Cimino C, Negri E & Fumagalli L: “Review of digital twin applications in manufacturing”. Computers in Industry, Vol. 113, No. 103130, 2019.10.1016/j.compind.2019.103130 Search in Google Scholar

9. Lu Q, Parlikad A K, Woodall P, Don Ranasinghe G, Xie X, Liang Z, Konstantinou E, Heaton J & Schooling J: “Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus”. Journal of Management in Engineering, Vol. 36, No. 05020004, 2020.10.1061/(ASCE)ME.1943-5479.0000763 Search in Google Scholar

10. ELSEVIER: “Scopus”, ELSEVIER, 2021. [Online]. Available: https://www.scopus.com/. [Accessed 2021]. Search in Google Scholar

11. Morgenthal G, Hallermann N, Kersten J, Taraben J, Debus P, Helmrich M & Rodehorst V: “Framework for automated UAS-based structural condition assessment of bridges”. Automation in Construction, Vol. 97, pp. 77–95, 2019.10.1016/j.autcon.2018.10.006 Search in Google Scholar

12. Omer M, Margetts L, Hadi Mosleh M, Hewitt S & Parwaiz M: “Use of gaming technology to bring bridge inspection to the office”. Structure and Infrastructure Engineering, Vol. 15, No. 10, 2019, pp. 1292–1307.10.1080/15732479.2019.1615962 Search in Google Scholar

13. Isailovic D, Stojanovic V, Trapp M, Richter R, Hajdin R & Döllner J: “Bridge damage: Detection, IFC-based semantic enrichment and visualization”. Automation in Construction, Vol. 112, No. 103088, 2020.10.1016/j.autcon.2020.103088 Search in Google Scholar

14. Popescu C, Täljsten B, Blanksvärd T & Elfgren L: “3D reconstruction of existing concrete bridges using optical methods”. Structure and Infrastructure Engineering, Vol. 15, No. 7, 2019, pp. 912-924.10.1080/15732479.2019.1594315 Search in Google Scholar

15. Delgado J M D, Butler L J, Gibbons N, Brilakis I, Elshafie M Z E B & Middleton C: “Management of structural monitoring data of bridges using BIM”. Bridge Engineering, Vol. 170, 2017, pp. 204-218.10.1680/jbren.16.00013 Search in Google Scholar

16. Butler L J, Elshafie M Z E B & Middleton C R: “Pervasive Fibre-optic sensor networks in bridges: a UK case study”. Proceedings, 9th International Conference on Bridge Maintenance, Safety and Management, IABMAS, Melbourne, Australia, 2018, pp.1738-1745.10.1201/9781315189390-237 Search in Google Scholar

17. Xu Y & Turkan I: “BrIM and UAS for bridge inspections and management”. Engineering, Construction and Architectural Management, Vol. 27, No. 3, 2019, pp. 785-807.10.1108/ECAM-12-2018-0556 Search in Google Scholar

18. Donato V, Biagini C, Bertini G & Marsugli F: “Challenges and opportunities for the implementation of H-BIM with regards to historical infrastructures: a case study of the Ponte Giorgini in Castiglione della Pescaia (Grosseto - Italy)”. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-5/W1, 2017, pp.253-260.10.5194/isprs-archives-XLII-5-W1-253-2017 Search in Google Scholar

19. Riveiro B, Jauregui D V, Arias P, Armesto J & Jiang R: “An innovative method for remote measurement of minimum vertical underclearance in routine bridge inspection”. Automation in Construction, Vol. 25, 2012, pp. 34–40.10.1016/j.autcon.2012.04.008 Search in Google Scholar

20. Sacks R, Kedar A, Borrmann A, Ma L, Brilakis I, Hüthwohl P, Daum S, Kattel U, Yosef R, Liebich I, Barutcu B E & Muhic S: “SeeBridge as next generation bridge inspection: Overview, information delivery manual and model view definition”. Automation in Construction, Vol. 90, 2018, pp. 134–145.10.1016/j.autcon.2018.02.033 Search in Google Scholar

21. Banfi F, Barazzetti L, Previtali M & Roncoroni F: “Historic BIM: a new repository for structural health monitoring”. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-5/W1, 2017.10.5194/isprs-archives-XLII-5-W1-269-2017 Search in Google Scholar

22. Cha G, Park S & Oh T: “A Terrestrial LiDAR-Based Detection of Shape Deformation for Maintenance of Bridge Structures”. Journal of Construction Engineering and Management, Vol. 145(12), No. 04019075, 2019.10.1061/(ASCE)CO.1943-7862.0001701 Search in Google Scholar

23. Barazzetti L, Banfi F, Brumana R, Previtali M & Roncoroni F: “BIM from laser scans... not just for buildings: NURBS-based parametric modeling of a medieval bridge”. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. III-5, 2016, pp. 51-56.10.5194/isprsannals-III-5-51-2016 Search in Google Scholar

24. McKenna T, Minehane M, O’Keeffe B, O’Sullivan G & Ruane K: “Bridge information modelling (BrIM) for a listed viaduct”. Proceedings of the Institution of Civil Engineers - Bridge Engineering, Vol. 170, 2017, pp.1-12.10.1680/jbren.16.00007 Search in Google Scholar

25. León-Robles C A, Reinoso-Gordo J F & González-Quiñones J J: “Heritage building information modeling (H-BIM) applied to a stone bridge”. International Journal of Geo-Information, Vol. 8, No. 121, 2019.10.3390/ijgi8030121 Search in Google Scholar

26. Borin P & Cavazzini F: “Condition assessment of RC bridges. Integrating machine learning, photogrammetry and BIM”, ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-2/W15, 2019, pp.201-208.10.5194/isprs-archives-XLII-2-W15-201-2019 Search in Google Scholar

27. Stavroulaki M E, Riveiro B, Drosopoulos G A, Solla M, Koutsianitis P & Stavroulakis G E: “Modelling and strength evaluation of masonry bridges using terrestrial photogrammetry and finite elements”. Advances in Engineering Software, Vol. 101, 2016, pp. 136-148.10.1016/j.advengsoft.2015.12.007 Search in Google Scholar

28. Abu Dabous S, Yaghi S, Alkass S & Moselhi O: “Concrete bridge deck condition assessment using IR Thermography and Ground Penetrating Radar technologies”. Automation in Construction, Vol. 81, 2017, pp. 340-354.10.1016/j.autcon.2017.04.006 Search in Google Scholar

29. Alani A M, Aboutalebi M & Kilic G: “Integrated health assessment strategy using NDT for reinforced concrete bridges”. NDT&E International, Vol. 61, 2014, pp. 80-94.10.1016/j.ndteint.2013.10.001 Search in Google Scholar

30. Conde B, Ramos L F, Oliveira D V, Riveiro B & Solla M: “Structural assessment of masonry arch bridges by combination of non-destructive testing techniques and threedimensional numerical modelling: Application to Vilanova bridge”. Engineering Structures, Vol. 148, 2017, pp. 621-638.10.1016/j.engstruct.2017.07.011 Search in Google Scholar

31. Mathworks: “MATLAB”. MathWorks, 2021. [Online]. Available: https://www.mathworks.com/products/matlab.html. [Accessed 2021]. Search in Google Scholar

32. McGuire B, Atadero R, Clevenger C & Ozbek M: “Bridge information modeling for inspection and evaluation”. Journal of Bridge Engineering, Vol. 21(4), No. 04015076, 2016.10.1061/(ASCE)BE.1943-5592.0000850 Search in Google Scholar

33. Microsoft: “Excel”, Microsoft, 2021. [Online]. Available: https://www.microsoft.com/svse/microsoft-365/excel. [Accessed 2021]. Search in Google Scholar

34. Huthwohl P, Brilakis I, Borrmann A & Sacks R: “Integrating RC bridge defect information into BIM models”. Journal of Computing in Civil Engineering, Vol. 32(3), No. 04018013, 2018, pp. 1–14.10.1061/(ASCE)CP.1943-5487.0000744 Search in Google Scholar

35. Jeonga S, Hou R, Lynch J P, Sohn H & Law K H: “An information modeling framework for bridge monitoring”. Advances in Engineering Software, Vol. 114, 2017, pp. 11-31.10.1016/j.advengsoft.2017.05.009 Search in Google Scholar

36. AUTODESK: “Revit”, AUTODESK, 2021. [Online]. Available: https://www.autodesk.com/products/revit/overview. [Accessed 2021]. Search in Google Scholar

37. Boddupalli C, Sadhu A, Rezazadeh Azar E & Pattyson S: “Improved visualization of infrastructure monitoring data using Building Information Modeling”. Structure and Infrastructure Engineering, Vol. 15, No. 9, 2019, pp. 1247-1263.10.1080/15732479.2019.1602150 Search in Google Scholar

38. Kritzinger W, Karner M, Traar G, Henjes J & Sihn W: “Digital Twin in manufacturing: a categorical literature review and classification”. IFAC PapersOnLine, Vol. 51, No. 11, 2018, pp. 1016-1022.10.1016/j.ifacol.2018.08.474 Search in Google Scholar

39. Negri E, Fumagalli L & Macchi M: “A review of the roles of Digital Twin in CPS-based production systems”. Procedia Manufacturing, Vol. 11, 2017, pp. 939-948.10.1016/j.promfg.2017.07.198 Search in Google Scholar

40. Sacks R, Brilakis I, Pikas E, Xie H & Girolami M: “Construction with digital twin information systems”. Data-Centric Engineering, Vol. 1, No. E14, 2020.10.1017/dce.2020.16 Search in Google Scholar

41. Khajavi S H, Motlagh N H, Jaribion A, Werner L C & Holmstrom J: “Digital Twin: Vision, benefits, boundaries, and creation for buildings”. IEEE Access, Vol. 7, 2019, pp. 147406-147419.10.1109/ACCESS.2019.2946515 Search in Google Scholar

42. Shim C S, Dang N S, Lon S & Jeon C H: “Development of a bridge maintenance system for prestressed concrete bridges using 3D digital twin model”. Structure and Infrastructure Engineering, Vol. 15, No. 10, 2019, pp. 1319-1332.10.1080/15732479.2019.1620789 Search in Google Scholar

43. Lu R & Brilakis I: “Digital twinning of existing reinforced concrete bridges from labelled point clusters”. Automation in Construction, Vol. 105, No. 102837, 2019.10.1016/j.autcon.2019.102837 Search in Google Scholar

44. Ye C, Butler L, Calka B, Iangurazov M, Lu Q, Gregory A, Girolami M & Middleton C: “A digital twin of bridges for structural health monitoring”, Proceedings, 12th International Workshop on Structural Health Monitoring - IWSHM, Stanford, USA, 2019.10.12783/shm2019/32287 Search in Google Scholar

45. FHWA: “Bridge Preservation and Maintenance in Europe and South Africa”, Washington D.C., USA, 2005. Search in Google Scholar

46. Mirzaei Z, Adey B T, Klatter L & Thompson P: “The IABMAS Bridge Management Committee Overview of Existing Bridge Management Systems”, International Association for Bridge Maintenance and Safety (IABMAS), Sapporo, Japan, 2014. Search in Google Scholar

47. Helmerich R, Niederleithinger E, Algernon D, Streicher D & Wiggenhauser H: “Bridge inspection and condition assessment in Europe”. Transportation Research Record, Vol. 2044, 2008, pp. 31–38.10.3141/2044-04 Search in Google Scholar

48. Thompson P D, Small E P, Johnson M & Marshall A R: “The Pontis Bridge Management System”. Structural Engineering International, Vol. 8(4), 1998, pp. 303–308.10.2749/101686698780488758 Search in Google Scholar

49. Gholami M, Sam A R M & Jamaludin M Y: “Assessment of Bridge Management System in Iran”. Procedia Engineering, Vol. 54, 2013, pp. 573-583.10.1016/j.proeng.2013.03.052 Search in Google Scholar

50. Mendonça T, Brito V & Milhazes F: “Aplicação de gestão de obras de arte - GOA - nova geração” (Bridge management application – GOA – new generation). BETAR Consultores Ltda., Lisbon, 2010 (in Portuguese). Search in Google Scholar

51. Mocoso Y F M: “Modelos de Degradação para Aplicação em Sistemas de Obras de Arte Especiais – OAEs” (Degradation models for bridge application systems) (PhD Thesis), University of Brasília, Brasília, Brazil, 2017 (in Portuguese). Search in Google Scholar

52. Liao H K & Yau N J: “Development of Various Bridge Condition Indices for Taiwan Bridge Management System”, Proceedings, 28th International Symposium on Automation and Robotics in Construction, Seoul, Korea, 2011, pp.911-916.10.22260/ISARC2011/0168 Search in Google Scholar

53. Safi M, Sundquist H, Karoumi R & Racutanu G: “Development of the Swedish bridge management system by upgrading and expanding the use of LCC”. Structure and Infrastructure Engineering, Vol. 9(12), 2013, pp. 1240-1250.10.1080/15732479.2012.682588 Search in Google Scholar

54. Mirzaei Z, Adey B T, Klatter L & Thompson P: “The IABMAS bridge management committee overview of existing bridge management systems”, International Association for Bridge Maintenance and Safety (IABMAS), Sapporo, Japan, 2014. Search in Google Scholar

55. Chan B, Guan H, Hou L, Jo J, Blumenstein M & Wang J: “Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments”. Journal of Civil Structural Health Monitoring, Vol. 6, 2016, pp. 703-714.10.1007/s13349-016-0191-6 Search in Google Scholar

56. Hendy C, Brock C & Nicholls T: “Management of the M4 Elevated Section substructures”. Proceedings of the Institution of Civil Engineers: Bridge Engineering, No. 1600006, 2017.10.1680/jbren.16.00006 Search in Google Scholar

57. Previtali M, Barazzetti L, Banfi F & Roncoroni F: “Informative content models for infrastructure load testing management: The Azzone Visconti bridge in Lecco”. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XLII-2/W11, 2019, pp. 995-1001.10.5194/isprs-archives-XLII-2-W11-995-2019 Search in Google Scholar

58. Tao F, Zhang M, Liu Y & Nee A Y C: “Digital twin driven prognostics and health management for complex equipment”. CIRP Annals, Vol. 67, 2018, pp. 169-172.10.1016/j.cirp.2018.04.055 Search in Google Scholar

59. Brilakis I & Ariyachandra M: “Application of Railway Topology for the Automated Generation of Geometric Digital Twins of Railway Masts”. ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction, 2021, pp. 373-380.10.1201/9781003191476-52 Search in Google Scholar

60. Dibernardo S: “Integrated modelling systems for bridge asset management - case study”, Structures Congress, Reston, USA, 2012, pp. 483-493.10.1061/9780784412367.043 Search in Google Scholar

61. Brady K C, O’Reilly M, Bevc L, Znidaric A, O’Brien E & Jordan R: “Cost 345 - Procedures required for the assessment of highway structures - Final report”. European Co-operation in the Field of Scientific and Technical Research, Brussels, Belgium, 2009. Search in Google Scholar

62. Zhao Z, Gao Y, Hu X, Zhou Y, Zhao L, Qin G, Guo J, Liu Y, Yu C & Han D: “Integrating BIM and IoT for smart bridge management”, Proceedings, IOP Conference Series: Earth and Environmental Science, Vol. 371, No. 022034, 2019.10.1088/1755-1315/371/2/022034 Search in Google Scholar

63. Zhu J, Tan Y, Wang X & Wu P: “BIM/GIS integration for web GIS-based bridge management”. Annals of GIS, Vol. 27(1), 2020, pp. 99-109.10.1080/19475683.2020.1743355 Search in Google Scholar

64. Marzouk M M & Hisham M: “Bridge information modelling in sustainable bridge management”. Proceedings, International Conference on Sustainable Design and Construction - ICSDC, Kansas City, USA, 2011, pp. 457-466. Search in Google Scholar

65. Wan C, Zhou Z, Li S, Ding Y, Xu Z, Yang Z, Xia Y & Yin F: “Development of a bridge management system based on the building information modelling technology”. Sustainability, Vol. 11, No. 4583, 2019.10.3390/su11174583 Search in Google Scholar

66. Hallberg D & Racutanu G: “Development of the Swedish bridge management system by introducing a LMS concept”. Materials and Structures, Vol. 40, 2007, pp. 627-639.10.1617/s11527-006-9175-z Search in Google Scholar

67. Shafto M, Conroy M, Doyle R, Glaessgen E, Kemp C, LeMoigne J & Wang L: “DRAFT Modeling, Simulation, Information Technology & Processing Roadmap”, Technology Area 11, 2010. Search in Google Scholar

eISSN:
2545-2819
Idioma:
Inglés
Calendario de la edición:
2 veces al año
Temas de la revista:
Materials Sciences, Materials Processing