Abstract
This paper explores the use of smartphones as vibration measurement device to identify modal properties of reinforced concrete (RC) bridges. Two in-service RC bridges are instrumented with both conventional accelerometers and smartphone accelerometers. One of the tested bridges is a simply supported RC T-beam bridge structure and the other one is a simply supported RC slab bridge with a skew angle of 15 degrees. The vibration testing includes both traffic-induced ambient excitations and impact hammer excitation. The natural frequencies of the bridges are identified from operational modal analysis using the data obtained from both conventional and smartphone accelerometers at a single point and a peak-picking technique. In addition, the modal properties of two bridges are extracted using data obtained from a dense network of sensors and by employing enhanced frequency domain decomposition method. To assess the correlation between the modal properties identified from smartphone data and data obtained from traditional sensor, statistical analyses are conducted. Results show that there is a good agreement between the modal characteristics extracted from smartphone and reference sensor data as well as those obtained from a dense instrumentation.
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Vu, V.H., Thomas, M., Lakis, A.A., Marcouiller, L.: Identification of modal parameters by operational modal analysis for the assessment of bridge rehabilitation. In: 2nd, Proceedings of the International Operational Modal Analysis Conference (2007)
Zhang, L., Brincker, R., Andersen, P.: An overview of operational modal analysis: major development and issues. In: 1st, International Operational Modal Analysis (2005)
Alwash, M., Sparling, B.F., Wegner, L.D.: Influence of excitation on dynamic system identification for a multi-span reinforced concrete bridge. Adv. Civ. Eng. 2009, 1–19 (2009)
Castellanos, S., Marulanda, J., Preciado, M., Cruz, A., Thomson, P.: Identification of the operational frequencies of 300+ bridges using smartphones. In: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, April 8, 2016, pp. 98040C–98040C. International Society for Optics and Photonics. Bellingham, Washington, USA
Ozer, E., Feng, M.Q.: Synthesizing spatiotemporally sparse smartphone sensor data for bridge modal identification. Smart Mater. Struct. 25(8), 085007 (2016)
Brincker, R., Ventura, C., Andersen, P.: Damping estimation by frequency domain decomposition. In: 19th International Modal Analysis Conference (2001)
Bagheri, A., Alipour, M., Usmani, S., Ozbulut, O.E., Harris, D.K.: Structural stiffness identification of skewed slab bridges with limited information for load rating purpose. In: Dynamics of Civil Structures, Volume 2: Proceedings of the International Modal Analysis Conference (IMAC)-XXXV, pp. 243–249, Garden Grove, CA (January 2017)
Alipour, M., Harris, D.K., Ozbulut, O.E.: Vibration testing for bridge load rating. In: Dynamics of Civil Structures, Volume 2: Proceedings of the International Modal Analysis Conference (IMAC)-XXXIV, pp. 175–184, Orlando, FL (January 2016)
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This material is based upon the work supported by the Virginia Department of Transportation.
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© 2019 The Society for Experimental Mechanics, Inc.
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Ndong, A.K., Ozbulut, O.E., Harris, D.K. (2019). Identifying Modal Characteristics of Reinforced Concrete Bridges Using Smartphones. In: Pakzad, S. (eds) Dynamics of Civil Structures, Volume 2. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-74421-6_46
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DOI: https://doi.org/10.1007/978-3-319-74421-6_46
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