References
- ASCE (2016, September). The 2017 Infrastructure Report Card. American Society of Civil Engineers (ASCE).
- Barone, G., & Frangopol, D. M. (2014). Life-cycle maintenance of deteriorating structures by multi-objective optimization involving reliability, risk, availability, hazard and cost. Structural Safety, 48, 40–50. doi: 10.1016/j.strusafe.2014.02.002
- Bu, G. P., Chanda, S., Guan, H., Jo, J., Blumenstein, M., & Loo, Y. C. (2015). Crack detection using a texture analysis-based technique for visual bridge inspection. Electronic Journal of Structural Engineering, 14(1), 41–48.
- CCA, CPWA, CSCE, FCM (2016). The 2016 Canadian Infrastructure Report Card. By the four founding organizations: the Canadian Construction Association (CCA), the Canadian Public Works Association (CPWA), the Canadian Society for Civil Engineering (CSCE), the Federation of Canadian Municipalities (FCM).
- Dang, N. S., & Shim, C. S. (2018). BIM authoring for an image-based bridge maintenance system of existing cable-supported bridges. IOP Conference Series: Earth and Environmental Science, 143(0 ), 012032. doi: 10.1088/1755-1315/143/1/012032
- Glaessgen, E. H., & Stargel, D. S. (2012, April 16). The digital twin paradigm for future NASA and U.S. Air force vehicles. 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Special Session on the Digital Twin, 23–26 April 2012, Honolulu, HI. Retrieved from https://ntrs.nasa.gov/search.jsp?R=20120008178
- Hojlo, J. (2018, April). IDC PlanScape: Digital twins for products, assets, and ecosystems. Retrieved from https://www.idc.com/getdoc.jsp?containerId=US43134418/
- Jeon, C. H., Lee, J. B., & Shim, C. S. (2017). Tensile test of corroded strand and maintenance of corroded prestressed concrete girders. World Academy of Science, Engineering and Technology International Journal of Urban and Civil Engineering, 11(10), 1363–1367.
- Kellner, T. (2015, September 27). GE Reports 2015: Wind in the cloud? How the digital wind farm will make wind power 20 percent more efficient. Retrieved from https://www.ge.com/reports/post/119300678660/wind-in-the-cloud-how-the-digital-wind-farm-will-2/
- Lee, G., Sacks, R., & Eastman, C. M. (2006). Specifying parametric building object behavior (BOB) for a building information modeling system. Automation in Construction, 15(6), 758–776. doi: 10.1016/j.autcon.2005.09.009
- Matsumoto, M., Mitani, K., Sugimoto, M., Hashimoto, K., & Miller, R. (2012). Innovative bridge assessment methods using image processing and infrared thermography technology. Paper presented at ‘Innovative Infrastructures – Toward Human Urbanism, 18th Congress of IABSE’, Seoul, International Association for Bridge and Structural Engineering, 18(13), 1181–1188. doi: 10.2749/222137912805111636
- Mohan, A., & Poobal, S. (2017). Crack detection using image processing: A critical review and analysis. Alexandria Engineering Journal, 57(2), 787–798.
- Nagrale, M. S. K., & Bagde, M. S. T. (2013). Application of image processing for development of automated inspection system. International Journal of Computing Engineering & Research, 3(3), 103–107.
- Oh, J., Lee, A., Oh, S., Choi, Y. J., Yi, B., Yang, H., Lee, J. H., & Moon, Y. S. (2008). Bridge inspection robot system with novel image processing. In H.-M. Koh and D. Frangopol (Eds.), Proceedings of IABMAS, bridge maintenance, safety, management, health monitoring and informatics. London: Taylor & Francis Group.
- Omar, T., & Nehdi, M. (2016). Condition assessment and deterioration prediction tools for concrete bridges: A new look. Paper presented at ‘Resilient Infrastructure. London’, the Canadian Society of Civil Engineering, Ontario, 10.
- Panetta, K. (2017, October 3). Gartner top 10 strategic technology trends for 2018. Retrieved from https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2018/
- Panetta, K. (2018, October 15). Gartner top 10 strategic technology trends for 2019. Retrieved from https://www.gartner.com/smarterwithgartner/gartner-top-10-strategic-technology-trends-for-2019/
- Pereira, F. C., & Pereira, C. E. (2015). Embedded image processing systems for automatic recognition of cracks using UAVs. IFAC-PapersOnLine, 48(10), 16–21. doi: 10.1016/j.ifacol.2015.08.101
- Saydam, D., & Frangopol, D. M. (2011). Time-dependent performance indicators of damaged bridge superstructures. Engineering Structures, 33(9), 2458–2471. doi: 10.1016/j.engstruct.2011.04.019
- Shim, C. S., Kang, H. R., Dang, N. S., & Lee, D. K. (2017). Development of BIM-based bridge maintenance system for cable-stayed bridges. Smart Structures and Systems, 20(6), 697–708.
- Tolliver, D., & Lu, P. (2012). Analysis of bridge deterioration rates: A case study of the northern plains region. Journal of the Transportation Research Forum, 50(2), 87–100.
- Yang, S. I., Frangopol, D. M., & Neves, L. C. (2006). Optimum maintenance strategy for deteriorating bridge structures based on lifetime functions. Engineering Structures, 28(2), 196–206. doi: 10.1016/j.engstruct.2005.06.024