Wireless Structural Sensing

Article Preview

Abstract:

The evolution of the smart structure technology on one side and the recent innovations in ICT have generated a new functionality in structural engineering: wireless structural sensing (WSS). This concept refers to the idea of measuring the structural response of a mechanical component and transmitting in remote the data to a control centre. WSS can be viewed as an extension of the features of a smart structure that includes now not only a sensing capability but also the possibility of transmitting signals, in the presence of a transceiver. In the paper, the characteristics of this technology and the potential outcomes in terms of products and services are illustrated. The constituent elements of the system are also described and the evolution of structural design for such structural systems is highlighted in terms of the driving design parameters. Some basic demonstrators produced by the research group of the authors are also illustrated as practical implementation of the WSS technology.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

155-165

Citation:

Online since:

August 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P. Gaudenzi, Smart Structures: Physical Behaviour, Mathematical Modelling and Applications, John Wiley & Sons, 2009.

Google Scholar

[2] H. Sonh, C.R. Farrar, F.M. Hemez, D. D. Shunk, D.W. Stinemates, B.R. Nadler, J.J. Czarnecki, A Review Of Structural Health Monitoring Literature:1996-2001, Los Alamos National Laboratory, 2003.

Google Scholar

[3] K.H., Hsieh, M.W. Halling, P.J. Barr, Overview Of Vibrational Structural Health Monitoring With Representative Case Studies, Journal Of Bridge Engineering (2006).

DOI: 10.1061/(asce)1084-0702(2006)11:6(707)

Google Scholar

[4] P.C. Chang, A. Flatau, S.C. Liu, Review Paper: Health Monitoring Of Civil Infrastructure, Structural Health Monitoring (2003).

DOI: 10.1177/1475921703036169

Google Scholar

[5] L.F. Ramos, R. Aguilar, P.B. Lourenco, Operational Modal Analysis Of Historical Constructions Using Commercial Wireless Platforms, Structural Health Monitoring 10 (2011) 511.

DOI: 10.1177/1475921710388973

Google Scholar

[6] T. Watteyne, K.S.J. Pister, Smarter cities through standards-based wireless sensor networks, IBM Journal of Research and Development 55 (2011).

DOI: 10.1147/jrd.2010.2092257

Google Scholar

[7] S. Yuan, X. Lai, X. Zhao, X. Xu, L. Zhang, Distributed structural health monitoring system based on smart wireless sensor and multi-agent technology, Smart Materials and Structures, 15 (2006) 1-8.

DOI: 10.1088/0964-1726/15/1/029

Google Scholar

[8] J. Wu, S. Yuan, S. Ji, G. Zhou,Y. Wang, Z. Wang, Multi-agent system design and evaluation for collaborative wireless sensor network in large structure health monitoring, Expert Systems with Applications 37 (2010) 2028-2036.

DOI: 10.1016/j.eswa.2009.06.098

Google Scholar

[9] S. Ganerival, R. Kumar, M.B. Srivastava, Timing-sync Protocol for Sensor Networks, SenSys'03: Proceedings of the First International Conference on Embedded Networked Sensor Systems (2003) 138-149.

DOI: 10.1145/958491.958508

Google Scholar

[10] F. Sivrikaya, B. Yener, Time synchronization in sensor networks: A survey, IEEE Network 18 (2004) 45-50.

DOI: 10.1109/mnet.2004.1316761

Google Scholar

[11] N. Xu, S. Rangwala, K.K. Chintalapudi, D. Ganesan, A. Broad, R. Govindan, D. Estrin, A wireless sensor network for structural monitoring, SenSys'04 - Proceedings of the Second International Conference on Embedded Networked Sensor Systems (2004) 13-24.

DOI: 10.1145/1031495.1031498

Google Scholar

[12] J. He, P. Cheng, L. Shi, J. Chen, Time synchronization in WSNs: A maximum value based consensus approach, Proceedings of the IEEE Conference on Decision and Control (2011) 7882-7887.

DOI: 10.1109/cdc.2011.6161443

Google Scholar

[13] A. Rytter, Vibrational based inspection of civil engineering structures PhD thesis, Department of Building Technology and Structural Engineering, Aalborg University, Denmark, 1993.

Google Scholar

[14] R. Barboni, A. Mannini, E. Fantini, P. Gaudenzi, Optimal Placement of PZT actuators for the control of beam dynamics, Smart Materials and Structures 9 (2000) 110-120.

DOI: 10.1088/0964-1726/9/1/312

Google Scholar

[15] H. Fukunaga, N. Hu, F.-K. Chang, Structural damage identification using piezoelectric sensors, International Journal of Solids and Structures 39(2001) 393-418.

DOI: 10.1016/s0020-7683(01)00149-4

Google Scholar

[16] N.M.M. Maia, R.A.B. Almeida, A.P.V. Urgueira, R.P.C. Sampaio, Damage detection and quantification using transmissibility, Mechanical Systems and Signal Processing 25 (2011) 2475-2483.

DOI: 10.1016/j.ymssp.2011.04.002

Google Scholar

[17] R.P.C. Sampaio, N.M.M. Maia, Strategies for an efficient indicator of structural damage, Mechanical Systems and Signal Processing 23 (2009) 1855-1869.

DOI: 10.1016/j.ymssp.2008.07.015

Google Scholar

[18] K. Worden, C.R. Farrar, G. Manson, G. Park, The fundamental axioms of structural health monitoring, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 463 (2007) 1639-1664.

DOI: 10.1098/rspa.2007.1834

Google Scholar

[19] C.R. Farrar, K. Worden, An introduction to structural health monitoring, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences ,365 (2007) 303-315.

DOI: 10.1098/rsta.2006.1928

Google Scholar

[20] D. Montalvao, N.M.M. Maia, A.M.R. Ribeiro, A review of vibration-based structural health monitoring with special emphasis on composite materials, Shock and Vibration Digest 38 (2006) 295-324.

DOI: 10.1177/0583102406065898

Google Scholar