Abstract
Seismic stations have been installed on Viña Del Mar building in Chile to provide continuous real-time accelerometer data from this structure. This dataset provides an opportunity to observe and better understand the variation of the dynamic properties of building systems, i.e., natural frequencies. The installed accelerometers allow real time recording of ambient vibrations, as well as strong motions caused by earthquakes. Several ground motions have been recorded and analyzed. This paper deals with operational modal analysis of the instrumented building, analytical and experimental evaluation of the mode shapes and natural frequencies of the structure and observation of possible changes in the dynamic properties due to ground shaking as a possible indicator of damage. Understanding this process is one of the long-term goals of real-time building instrumentation and is critical if these systems are to be used as a postearthquake damage assessment tool, as well as structural health monitoring. The ARX parametric System Identification approach was used to verify if the structure was damaged during the period of frequent aftershock occurrence between May 2 and July 14, 2010.
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References
Calvi GM, Pinho R, Crowley H (2006) State-of-the-knowledge on the period elongation of RC buildings during strong ground shaking. First European conference on earthquake engineering and seismology, paper number: 1535, Geneva, Switzerland
Clinton JF, Bradfort C, Heaton TH, Favela J (2006) The observed wander of the natural frequencies in a structure. Bull Seismol Soc Am 96(1):237–257
Kashima T (2012) Strong earthquake motion observation. IISEE lecture note. International Institute of Seismology and Earthquake Engineering, Building Research Institute, Tsukuba, Japan, January 2012
Ljung L (2009) System identification: theory for the user, 2nd edn, Information and system sciences series. Prentice Hall PTR, Corp. Sales Department, One Lake Street, Upper Saddle River, NJ 07458, Englewood Cliffs. ISBN 0-13-656695-2
Lynch JP (2005) Damage characterization of the IASC-ASCE structural health monitoring benchmark structure by transfer function pole migration. In: Proceedings of the 2005 ASCE structures congress, New York, April 2005, pp 20–23
Maruki T (2004) Structural health monitoring using parametric models in system identification. University of California, Irvine, Department of Civil and Environmental Engineering. REUJAT
Mita A (2003) Structural dynamics for health monitoring, 1st edn. SANKEISHA Co.,Ltd, Nagoya
Morita K, Teshigawara M (2005) Damage detection and estimation of a steel frame through shaking table test and measurements. Struct Contr Health Monit. Special Issue: Advanced Sensors and Health Monitoring. 12(3–4):357–380, July – December 2005
Morita K, Teshigawara M (2006) Structural health monitoring of an existing 8-story building using strong motion observation data and structural design data. Smart structures and materials 2006: sensors and smart structures technologies for civil, mechanical, and aerospace systems. In: Tomizuka, Masayoshi, Yun, Chung-Bang, Giurgiutiu, Victor (ed) Proceedings of the SPIE, Vol 6174, pp 575–583 2006
Proakis JG, Manolakis DG (1996) Digital signal processing: principles, algorithms and applications, 3rd edn. Prentice Hall, Inc, New Jersey. ISBN 0-13-394338-9
Şafak E, Çaktı E, Kaya Y (2010) Recent developments on structural health monitoring and data analyses, earthquake engineering in europe, geotechnical, geological, and earthquake engineering 17:331–355
Suresh K, Deb SK, Anjan Dutta (2008) Parametric system identification of multistoreyed buildings with non-uniform mass and stiffness distribution. The fourteenth world conference on earthquake engineering, Beijing, China, October 2008, pp 12–17
Acknowledgements
The authors would like to express their gratitude to “DIGITEXX Data Systems, Inc.” for their contribution to this study by providing us with the necessary data for the analyses. We are grateful for their collaboration before and during the elaboration of this paper. Without their provided continuous field data collection from their monitoring network, the realization of this paper would not have been possible.
Gratitude is also accorded to Dr. Koichi Morita from the Building Research Institute (BRI) from Tsukuba, Japan, for his professional suggestions and provided references that significantly increased the quality of this paper.
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Garevski, M., Milutinovic, Z., Jekic, G. (2013). Definition of Dynamic Characteristics of Reinforced Concrete Building in Viña Del Mar, Chile, Using Low Intensity Ground Shaking Records. In: Garevski, M. (eds) Earthquakes and Health Monitoring of Civil Structures. Springer Environmental Science and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5182-8_9
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DOI: https://doi.org/10.1007/978-94-007-5182-8_9
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