Integrated Management of Bridge Infrastructure through Bridge Digital Twins: A Preliminary Case Study
Publication: Computing in Civil Engineering 2021
ABSTRACT
Data play a significant role in the life cycle management of road infrastructure and bridges, and their integration is a crucial element of smart infrastructure systems. However, the current practice of managing infrastructure involves the use of an abundance of data produced by a variety of non-interoperable information systems. Thus, the lack of interoperability creates major challenges in deployment of a fully integrated and smart management system for the infrastructure. This research focuses on the development of a digital twin that could be used as an umbrella for integrating the live load traffic data on bridges with other bridge life cycle data to mirror the bridge behavior and offer a smart and integrated bridge management system. Intelligent transportation systems (ITS) are remarkable instances of advanced technology that reduced the human role in the operation and management of transportation infrastructure. Weigh-in-motion (WIM) is a type of ITS system provides a stream of valuable data about weight and other dynamic attributes of the fleeting traffic over road network and bridges. In this research, the real-time WIM data are integrated into a BrIM model by visual scripting to form the digital twin of the bridge. Through this approach, weight sensor data could be streamed in the digital twin of bridge, and the level of data utilization by different stakeholders can be improved. The outcomes of this study will help the preservation and sustainability of bridges and helping their resiliency through pro-active planning and enhancing the utilization of the available data.
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REFERENCES
ASCE. (2021). “Report Card for America’s Infrastructure”, <https://infrastructurereportcard.org/>(Apr. 12, 2021).
ASCE. (2020). “Report card for West Virginia’s Infrastructure”, <https://www.infrastructurereportcard.org/wp-content/uploads/2020/12/WV-2020-Infrastructure-Report-Card-1.pdf >(Dec. 10, 2020).
Adibfar, A., and Costin, A. (2019a). “Next Generation of Transportation Infrastructure Management: Fusion of Intelligent Transportation Systems (ITS) and Bridge Information Modeling (BrIM)”, Advances in informatics and computing in civil and construction engineering, 43–50.
Adibfar, A., and Costin, A. (2019b). “Evaluation of IFC for the Augmentation of Intelligent Transportation Systems (ITS) into Bridge Information Models (BrIM)”, Proceedings of ASCE international conference on computing in civil engineering, June 17-19, Atlanta, Georgia.
Costin, A., Adibfar, A., Hu, H., and Chen, S. (2018). “Building Information Modeling (BIM) for Transportation Infrastructure – Literature Review, Applications, and Challenges.” Automation in Construction, 94, 257–281.
Dygalo, V., Keller, A., and Shcherbin, A. (2020). “ Principles of application of virtual and physical simulation technology in production of digital twin of active vehicle safety systems”, Transportation Research Procedia, 50, 121–129.
FHWA. (2019). “The FAST Act”, https://www.fhwa.dot.gov/fastact/. (Dec. 09, 2020).
Glaessgen, E. H., and Stargel, D. S. (2012). “The digital twin paradigm for future NASA and U.S. Airforce vehicles”, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Special Session on the Digital Twin, April 23-26, Honolulu, Hawaii,. https://doi.org/10.2514/6.2012-1818.
Hofmann, W., and Branding, F. (2019). “Implementation of an IoT and Cloud-based Digital Twin for real-time decision support in port operations”, IFAC PapersOnline, 53(13), Elsevier.
Kritzinger, W., Karner, M., Traar, G., Henjes, J., and Sihn, W. (2018). “Digital Twin in manufacturing: A categorical literature review and classification”, IFAC-PapersOnLine, 51 (11), p. 1016–1022. DOI: https://doi.org/10.1016/j.ifacol.2018.08.474.
Lu, R., and Brilakis, I. (2019). “ Digital twining of existing reinforced concrete bridges from labelled point clusters”, Automation in Construction, 105, 102837. https://doi.org/10.1016/j.autcon.2019.102837.
McLoud, D. (2020), “Construction groups seek more transportation funding as shutdown looms”, Equipment World’s Better Roads, https://tinyurl.com/y3qn4gvh (Dec. 09, 2020).
Mi, S., Feng, Y., Zheng, H., Wang, Y., Gao, Y., and Tan, J. (2021). “Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework”, Journal of Manufacturing Systems, 58, 329–345. (https://doi.org/10.1016/j.jmsy.2020.08.001).
Shirowzhan, S., Tan, W., and Sepasgozar, S. (2020). “Digital twin and CyberGIS for improving connectivity and measuring the impact of infrastructure construction planning in smart cities”, International Journal of Geo-Information, 9(4), 240. https://doi.org/10.3390/ijgi9040240.
Sofia, H., Anas, E., and Faiz, O. (2020). “Mobile Mapping, Machine Learning and Digital Twin for Road Infrastructure Monitoring and Maintenance: Case Study of Mohammed VI Bridge in Morocco”. Proceedings of 2020 IEEE International conference of Moroccan Geomatics (Morgeo), 11-13 May 2020, Casablanca, Morocco, Morocco. https://doi.org/10.1109/Morgeo49228.2020.9121882.
Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Gou, Z., Lu, S., and Nee, A. (2019). “Digital twin-driven product design framework”, International Journal of production research, 57(12). https://doi.org/10.1080/00207543.2018.1443229.
Teng, S., Toud, M., Leong, W., How, B., Lam, H., and Masa, V. (2021). “Recent advances on industrial data-driven energy savings: Digital twins and infrastructures”, Renewable and Sustainable Energy Reviews, 135, 110208.
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Published online: May 24, 2022
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