Abstract
Effective and efficient structural monitoring of bridges is an important factor in ensuring a safe transportation system. In this effort this paper presents the design development and implementation of a cloud based laboratory scale bridge monitoring system that can assist the management for real-time monitoring. Accelerometers are used to collect the vibration data and then passed to the cloud after some initial processing through an embedded system. The cloud server as well as a local server are used for further data analysis and web presentation for remoter user.
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References
Infrastructure Report Card (2017). https://www.infrastructurereportcard.org/
Teng, C.-K.: Structural health monitoring of a bridge structure using wireless sensor network. Master’s theses, Department of Civil and Construction Engineering, Western Michigan University, US (2012)
Guan, H., Karbhari, V.M.: Vibration-based structural health monitoring of highway. Final Report, Department of Structural Engineering, University of California, San Diego, California, US, December 2008
Moore, M., Phares, B., Graybeal, B., Rolander, D., Washer, G.: Reliability of visual inspection for highway bridges. Final Report, vol. 1, US Department of Transportation, Federal Highway Administration (2001)
Abudayyeh, O.Y., Barbera, J., Abdel-Qader, I., Cao, H., Almaita, E.: Towards sensor-based health monitoring systems for bridge decks: a full-depth precast deck panels case study. Adv. Civ. Eng. (2010)
Yu, Y., Xie, H., Ou, J.: Vibration monitoring using wireless sensor networks on Dongying Huanghe River bridge. In: Earth and Space 2010: Engineering, Science, Construction, and Operations in Challenging Environments. ASCE (2010)
Gangone, M.V., Whelan, M.J., Janoyan, K.D., Minnetyan, L., Qiu, T.: Wireless sensor performance monitoring of an innovative bridge design in New York State. In: Bridge Maintenance, Safety, Management and Life-Cycle Optimization, Clarkson University Department of Civil and Environmental Engineering, Potsdam, New York (2010)
Lynch, J.P.: An overview of wireless structural health monitoring for civil structures. Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci. 365(1851), 345–372 (2007)
Lin, C.W., Yang, Y.B.: Use of a passing vehicle to scan the fundamental bridge frequencies. An experimental verification. Eng. Struct. 27(13), 1865–1878 (2005)
Toshinami, T., Kawatani, M., Kim, C.W.: Feasibility investigation for identifying bridge’s fundamental frequencies from vehicle vibrations. In: Bridge Maintenance, Safety, Management and Life-Cycle Optimization: Proceedings of the 5th International Conference on Bridge Maintenance, Safety and Management, pp. 329–334 (2010)
Yin, S.-H., Tang, C.-Y.: Identifying cable tension loss and deck damage in a cable-stayed bridge using a moving vehicle. J. Vib. Acoust. 133, 021007 (2011)
Siringoringo, D.M., Fujino, T.: Estimating bridge fundamental frequency from vibration response of instrumented passing vehicle: analytical and experimental study. Adv. Struct. Eng. 15(3), 417–433 (2012)
Fu, C.C., Jaradat, Y.: Survey and investigation of the state-of-the-art remote wireless bridge monitoring system. State Highway Administration, Research Report, University of Maryland, US (2008)
Lin, T.-K., Lin, Y.-B., Chang, K.-C., Wu, S.-H.: Remote bridge monitoring system with optical fiber sensors. In: 13th World Conference on Earthquake Engineering, Vancouver, Canada, 1–6 August 2004
Tokognon, C.A., Gao, B., Tian, G.Y., Yan, Y.: Structural health monitoring framework based on internet of things: a survey. IEEE Internet Things J. 4(3), 619–635 (2017)
NVIDIA: Jetson TK1 (2017). http://www.nvidia.com/object/jetson-tk1-embedded-dev-kit.html
SciPy (2017). https://www.scipy.org
NodeJs: About Node.js (2017). https://nodejs.org/en/about/
Heroku (2017). https://www.heroku.com/
Elastic (2017). https://www.elastic.co/
Elastic: Kibana User Guide (2017). https://www.elastic.co/guide/en/kibana/current/introduction.html
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Uddin, M.M., Devang, N., Azad, A.K.M., Demir, V. (2019). Remote Structural Health Monitoring for Bridges. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_41
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DOI: https://doi.org/10.1007/978-3-319-95678-7_41
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