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Non-destructive methods into health monitoring of tall type buildings operating into hazardous environment

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EN
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The paper is focusing on selected problems of health monitoring of tall type buildings. The actual problem in structural health monitoring (SHM) is to find the damages and its location by performing some statistical pattern recognition based on the measured data termed as feature extraction. The damage caused by environmental loads should be repaired; otherwise, it will expand with time and might lead to complete system failure. Dynamic parameters, such as velocity, acceleration and displacement, play a significant role in determining the structure dynamics. This paper is focusing on smart wireless sensors application into health monitoring systems of tall type buildings operating into hazardous environment and selected methods for data analysis obtained from the monitoring system. Smart sensors can locally process measured data and transmit only the significant information via wireless communication. As a network, wireless sensors extend the capability. Significant future developments of smart wireless sensors technology in tall type buildings in hazardous environment come by way of multi-disciplinary research efforts encompassing fields such as data analysing, signal processing, structural dynamics, motion and environmental sensing hardware, computational hardware, smart materials, data telemetry and statistical pattern recognition, as well as other fields yet to be defined. Specification issues that require automation of the decision making process in the evaluation of the technical state of the tall type structure have been also discussed.
Twórcy
autor
  • AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics A. Mickiewicza Av. 30, 30-059 Krakow, Poland
autor
  • AGH University of Science and Technology Faculty of Mechanical Engineering and Robotics A. Mickiewicza Av. 30, 30-059 Krakow, Poland
Bibliografia
  • [1] Celebi, M., Seismic instrumentation of buildings (with emphasis on federal buildings) Special GSA/USGS Project, an administrative report, United States Geological Survey, Menlo Park, CA, 2002.
  • [2] Cho, S., Yun, C., Lynch, J. P., Zimmerman, A. T., B. F. S. Jr, and T. Nagayama, Smart Wireless Sensor Technology for Structural Health Monitoring of Civil Structures, Vol. 8,pp. 267-275, 2008.
  • [3] Doherty, L., Pister, K. S. J. & Ghaoui. L. E., Convex position estimation in wireless sensor networks, Proceedings of the IEEE Infocom, AK., 1655-1663, 2001.
  • [4] Farrar, C. R., Historical overview of structural health monitoring. Lecture Notes on Structural Health Monitoring using Statistical Pattern Recognition, Los Alamos Dynamics, NM, 2001.
  • [5] Guan, H., Karbhari, V. M., Sikorski, C. S., Time-domain output only modal parameter extraction and its application, Proceedings of the 1st BIOMASS Conference, Copenhagen, Denmark 2005.
  • [6] Lanslots, J., Rodiers, B., Peeters, B., Automated Pole-Selection: Proof-of-Concept and Validation, Proceedings, International Conference on Noise and Vibration Engineering (ISAM) Leuven, Belgium 2004.
  • [7] Mufti, A., Guidelines for structural health monitoring, University of Manitoba, ISIS, Canada 2001.
  • [8] Maroti, M. Kusy, B., Simon, G., & Ledeczi, A., The flooding time synchronization protocol, Proceedings of 2nd International Conference On Embedded Networked Sensor Systems, Baltimore, MD, 39-49, 2004.
  • [9] Ou, J., The state-of-the-art and application of intelligent health monitoring systems for civil infrastructures in mainland of China, In: Progress in structural engineering, mechanics and computation, Zingoni, A., (ed.), pp. 599-608, Balkema/ Taylor and Francis, London 2004.
  • [10] Rainieri, C., Fabbrocino, G., Cosenza E., Automated operational modal analysis as structural health monitoring tool: theoretical and applicative aspects, Key Engineering Materials, Vol. 347, pp. 479-484, 2007.
  • [11] Soderstrom, T., Test of pole-zero cancellation in estimated models, Automatica, Vol. 11 (5), pp. 537-541, 1975.
  • [12] Spencer, B. F., Structural Health Monitoring of Civil Infrastructure: From Research to Engineering Practice, Nathan, M., Anne M., Newmark Endowed Chair in Civil Engineering, Director, Newmark Structural Engineering Laboratory, Director, MUST-SIM:NEES@Illinois, Director, Smart Structures Technology Laboratory (SSTL), 2013.
  • [13] http://www.rfwirelesssensors.com/.
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Bibliografia
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bwmeta1.element.baztech-b077fe98-799f-48ab-ac88-006657217348
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