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http://dx.doi.org/10.12989/smm.2021.8.2.187

An architecture of lifecycle fatigue management of steel bridges driven by Digital Twin  

Jiang, Fei (Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University)
Ding, Youliang (Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education, Southeast University)
Song, Yongsheng (School of Architecture Engineering, Jinling Institute of Technology)
Geng, Fangfang (School of Architecture Engineering, Nanjing Institute of Technology)
Wang, Zhiwen (Shenzhen Express Engineering Consulting Co. Ltd.)
Publication Information
Structural Monitoring and Maintenance / v.8, no.2, 2021 , pp. 187-201 More about this Journal
Abstract
The fatigue of steel bridges poses a great threat to their safety and functionality. However, current approaches for fatigue management are largely based on heuristic design philosophies, physical testing, and bridge managers' experience. This paper proposes a closed lifecycle fatigue management driven by Digital Twin for steel bridges. To provide clarity around the concept, the definition of Digital Twin for steel bridges is given at first. Then eight functional modules supporting Digital Twin are outlined in detail, aiming to provide a reference for the future development of Digital Twin in fatigue management. Finally, the implementation mechanism of Digital Twin is further described over different phases during the bridge lifecycle. This paper also identifies two main obstacles for the development of Digital Twin: i) the lack of understanding of steel bridge fatigue, and ii) the insufficiency of the present technologies.
Keywords
Digital Twin; bridge maintenance; fatigue life evaluation; lifecycle management; steel bridges;
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1 Lu, N., Liu, Y. and Deng, Y. (2019), "Fatigue reliability evaluation of orthotropic steel bridge decks based on site-specific weigh-in-motion measurements", Int. J. Steel Struct., 19(1), 181-192. https://doi.org/10.1007/s13296-018-0109-8   DOI
2 Mohammadi, N. and Taylor, J.E. (2017), "Smart city digital twins", Proceedings of IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA, November and December.
3 Nowak, M., Lyasota, I. and Kisala, D. (2017), "Testing the node of a railway steel bridge using an acoustic emission method", In: Shen G., Wu Z. and Zhang J. (Eds.), Advances in Acoustic Emission Technology: Proceedings of the World Conference on Acoustic Emission-2015 (pp. 265-275), Springer International Publishing, Cham, UK.
4 Schroeder, G., Steinmetz, C., Pereira, C.E., Muller, I., Garcia, N., Espindola, D. and Rodrigues, R. (2016), "Visualising the digital twin using web services and augmented reality", Proceedings of the 14th International Conference on Industrial Informatics (INDIN), Poitiers, France, July.
5 Schrotter, G. and Hurzeler, C. (2020), "The digital twin of the city of Zurich for urban planning", PFG - J. Photogramm. Remote Sens. Geoinf. Sci., 88(1), 99-112. https://doi.org/10.1007/s41064-020-00092-2   DOI
6 Sierla, S., Kyrki, V., Aarnio, P. and Vyatkin, V. (2018), "Automatic assembly planning based on digital product descriptions", Comput. Ind., 97, 34-46. https://doi.org/10.1016/j.compind.2018.01.013   DOI
7 Wang, X.V. and Wang, L. (2019), "Digital Twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0", Int. J. Prod. Res., 57(12), 3892-3902. https://doi.org/10.1080/00207543.2018.1497819   DOI
8 Zhu, Z. and Xiang, Z. (2019), "Fatigue cracking investigation on diaphragm cutout in a self-anchored suspension bridge with orthotropic steel deck", Struct. Infrastruct. Eng., 15(10), 1279-1291. https://doi.org/10.1080/15732479.2019.1609528   DOI
9 Cao, B., Ding, Y., Fang, Z., Geng, F. and Song, Y. (2019), "Influence of weld parameters on the fatigue life of deck-rib welding details in orthotropic steel decks based on the improved stress integration approach", Appl. Sci., 9(18), 3917. https://doi.org/10.3390/app9183917   DOI
10 Cheng, J., Zhang, H., Tao, F. and Juang, C. (2020), "DT-II:Digital Twin enhanced Industrial Internet reference framework towards smart manufacturing", Robot. Comput. Integr. Manuf., 62, 101881. https://doi.org/10.1016/j.rcim.2019.101881   DOI
11 Chotickai, P. and Bowman, M.D. (2006), "Truck models for improved fatigue life predictions of steel bridges", J. Bridg. Eng., 11(1), 71-80. https://doi.org/10.1061/(ASCE)1084-0702(2006)11:1(71)   DOI
12 Cui, C., Zhang, Q., Luo, Y., Hao, H. and Li, J. (2018), "Fatigue reliability evaluation of deck-to-rib welded joints in OSD considering stochastic traffic load and welding residual stress", Int. J. Fatigue, 111, 151-160. https://doi.org/10.1016/j.ijfatigue.2018.02.021   DOI
13 Bruynseels, K., Santoni de Sio, F. and van den Hoven, J. (2018), "Digital twins in health care: ethical implications of an emerging engineering paradigm", Front. Genet., 9, 31. https://doi.org/10.3389/fgene.2018.00031   DOI
14 Zhiyuan, Y.Z., Ji, B., Fu, Z. and Ge, H. (2016), "Fatigue performance of cracked rib-deck welded joint retrofitted by ICR technique", Int. J. Steel Struct., 16(3), 735-742. https://doi.org/10.1007/s13296-015-0089-x   DOI
15 Wang, B., De Backer, H., Zhou, X. and Chen, A. (2020), "Two-stage crack growth-based fatigue damage evaluation of orthotropic steel decks considering vehicle overload", Struct. Infrastruct. Eng., 1-14. https://doi.org/10.1080/15732479.2020.1759657   DOI
16 Xu, Y., Bao, Y., Chen, J., Zuo, W. and Li, H. (2019), "Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images", Struct. Health Monit., 18(3), 653-674. https://doi.org/10.1177/1475921718764873   DOI
17 Zhu, J. and Zhang, W. (2018), "Probabilistic fatigue damage assessment of coastal slender bridges under coupled dynamic loads", Eng. Struct., 166, 274-285. https://doi.org/10.1016/j.engstruct.2018.03.073   DOI
18 Leaman, F., Herz, A., Brinnel, V., Baltes, R. and Clausen, E. (2020), "Analysis of acoustic emission signals during fatigue testing of a M36 bolt using the Hilbert-Huang spectrum", Struct. Monit. Maint., Int. J., 7(1), 13-25. https://doi.org/10.12989/smm.2020.7.1.013   DOI
19 BS 5400-3 (2000), Steel, Concrete and Composite Bridges-Part 3: Code of Practice for the Design of Steel Bridges, British Standards Institution; London, UK.
20 AASHTO LRFD-8 (2017), AASHTO LRFD Bridge Design Specification, American Association of State Highway and Transportation Officials; Washington, USA.
21 Ajmal, P.C.H. and Mohammed, A. (2018), "Finite element analysis based fatigue life evaluation approach for railway bridges: a study in Indian scenario", Struct. Monit. Maint., Int. J., 5(4), 429-443. https://doi.org/10.12989/smm.2018.5.4.429   DOI
22 Grieves, M. and Vickers, J. (2017), "Digital Twin: mitigating unpredictable, undesirable emergent behavior in complex systems", In: Kahlen F., Flumerfelt S. and Alves A. (Eds.), Transdisciplinary Perspectives on Complex Systems (pp. 85-113), Springer International Publishing, Cham, UK.
23 Tuegel, E.J., Ingraffea, A.R., Eason, T.G. and Spottswood, S.M. (2011), "Reengineering aircraft structural life prediction using a digital twin", Int. J. Aerosp. Eng., 2011, 1-14. https://doi.org/10.1155/2011/154798   DOI
24 Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo, Z., Lu, S.C.-Y. and Nee, A.Y.C. (2019), "Digital Twin-driven product design framework", Int. J. Prod. Res., 57(12), 3935-3953. https://doi.org/10.1080/00207543.2018.1443229   DOI
25 Autiosalo, J., Vepsalainen, J., Viitala, R. and Tammi, K. (2019), "A feature-based framework for structuring industrial digital twins", IEEE Access, 8, 1193-1208. https://doi.org/10.1109/ACCESS.2019.2950507   DOI
26 Yao, Y., Ji, B., Fu, Z., Zhou, J. and Wang, Y. (2019), "Optimization of stop-hole parameters for cracks at diaphragm-to-rib weld in steel bridges", J. Constr. Steel Res., 162, 105747. https://doi.org/10.1016/j.jcsr.2019.105747   DOI
27 Yu, J., Ziehl, P., Zarate, B. and Caicedo, J. (2011), "Prediction of fatigue crack growth in steel bridge components using acoustic emission", J. Constr. Steel Res., 67(8), 1254-1260. https://doi.org/10.1016/j.jcsr.2011.03.005   DOI
28 Yuan, Y., Wu, C. and Jiang, X. (2019), "Experimental study on the fatigue behavior of the orthotropic steel deck rehabilitated by UHPC overlay", J. Constr. Steel Res., 157, 1-9. https://doi.org/10.1016/j.jcsr.2019.02.010   DOI
29 Zhang, Q., Yu, J., Tian, Q. and Jia, D. (2018), "Study of fatigue performance of new bearing type longitudinal rib-to-transverse rib cross structural details", Bridg. Constr., 48(6), 29-34. https://doi.org/10.3969/j.issn.1003-4722.2018.06.006.   DOI
30 Fu, Z., Wang, Q., Ji, B. and Yuanzhou, Z. (2017), "Rewelding repair effects on fatigue cracks in steel bridge deck welds", J. Perform. Constr. Facil., 31(6), 04017094. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001083   DOI
31 Fu, Z., Ji, B., Kong, X. and Chen, X. (2018), "Effects of hammer peening on fatigue performance of roof and U-rib welds in orthotropic steel bridge decks", J. Mater. Civ. Eng., 30(11), 04018306. https://doi.org/10.1061/(ASCE)MT.1943-5533.0002518   DOI
32 Glaessgen, E. and Stargel, D. (2012), "The digital twin paradigm for future NASA and U.S. air force vehicles", Proceedings of the 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Special Session on the Digital Twin, Honolulu, HI, USA, August.
33 Zakrajsek, A.J. and Mall, S. (2017), "The development and use of a digital twin model for tire touchdown health monitoring", Proceedings of the 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Grapevine, TX, USA, January.
34 Heng, J., Zheng, K., Kaewunruen, S. and Baniotopoulos, C. (2019), "Stochastic traffic-based fatigue life assessment of rib-to-deck welding joints in orthotropic steel decks with thickened edge U-ribs", Appl. Sci., 9(13), 2582. https://doi.org/10.3390/app9132582   DOI
35 Karamloo, M., Mazloom, M. and Ghasemi, A. (2019), "An overview of different retrofitting methods for arresting cracks in steel structures", Struct. Monit. Maint., Int. J., 6(4), 291-315. https://doi.org/10.12989/smm.2019.6.4.291   DOI