Abstract
Wireless sensor networks based-structural health monitoring is being widely researched. To make a better structural health monitoring, real-time acquisition of structural responses is indispensable. However, the data, which is large in number especially when they are of moving structures, are difficult to be measured, and the adaptation of wireless sensor networks further limits structural health monitoring within the capacity of radio frequency. In this study, cochlea-inspired artificial filter bank was developed as a technological way to efficiently acquire dynamic responses at a wireless sensor networks based-structural health monitoring. The cochlea-inspired artificial filter bank developed in this article was enabled to acquire valid dynamic responses of compressed size around the frequency range of interest by simulating raw data to the full regarding to time and frequency of dynamic responses. In addition, the digitalized cochlea-inspired artificial filter bank was also found to fix the disadvantages of analogue filters by its easy and efficient development of logics, optimization, design of software, and real-time autonomous execution. Finally, the cochleainspired artificial filter bank makes it possible to compress and reduce the vast amount of real-time dynamic responses usually obtained by means of a uniform rate of sample, into a manageable size. It is thus expected to open up a new paradigm in the Wireless sensor networks based-structural health monitoring of civil structures by facilitating an efficient measurement and management of data base.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Altuniik A. C., Sevim, B., Bayraktar, A., Adanur, S., and Günaydin, M. (2015). “Time dependent changing of dynamic characteristics of laboratory arch dam model.” KSCE Journal of Civil Engineering, Vol. 19, Issue 4, pp. 1069–1077, DOI: 10.1007/s12205-014-1080-3.
Bayraktar, A., Altuniik, A. C., Sevim, B., and Özahin, T. (2015). “Environmental effects on the dynamic characteristics of the gulburnu highway bridge.” Civil Engineering and Environmental Systems, Vol. 31, No. 4, pp. 347–366, DOI: 10.1080/10286608.2014.916697.
Heo, G. and Jeon, J. (2009). “A smart monitoring system based on ubiquitous computing technique for infra-structural system: centering on identification of dynamic characteristics of self-anchored suspension bridge.” KSCE Journal of Civil Engineering, Vol. 13, No. 5, pp. 333–337, DOI: 10.1007/s12205-009-0333-z.
Jang, S., Jo, H., Cho, S., Mechitov, K., Rice, J. A., Sim, S. H., Jung, H. J., Yun, C. B., Spencer, B. F., and Agha, G. (2010). “Structural health monitoring of a cable-stayed bridge using smart sensor technology: Deployment and evaluation.” Smart Structures and Systems, Vol. 6, No. 5–3, pp. 439–459, DOI: 10.12989/sss.2010. 6.5_6.439.
Ko, J. M. and Ni, Y. Q. (2005). “Technology developments in structural health monitoring of large-scale bridges.” Engineering Structures, Vol. 27, Issue 12, pp. 1715–1725, DOI: 10.1016/j.engstruct.2005. 02.021.
Kurata, M., Kim, J., Lynch, J. P., van der Linden, G., Sedarat, H., Thometz, E., Hipley, P., and Sheng, L. (2013). “Internet-enabled wireless structural monitoring systems: Development and permanent deployment at the new carquinez suspension bridge.” Journal of Structural Engineering, 139, SPECIAL ISSUE: Real-World Applications for Structural Identification and Health Monitoring Methodologies, pp. 1688–1702, DOI: 10.1061/(ASCE)ST.1943-541X-0000609.
Lynch, J. P. and Loh, K. J. (2006). “A summary review of wireless sensors and sensor networks for structural health monitoring.” The Shock and Vibration digest 2006, Vol. 28, No. 2, pp. 91–128, DOI: 10.1177/0583102406061499.
Nagayama, T., Spencer, B. F., Mechitov, K. A., and Agha, G. A. (2008). “Middleware services for structural health monitoring using smart sensors.” Smart Structures and Systems, Vol. 5, No. 2, pp. 119–137, DOI: 10.12989/sss.2009.5.2.119.
Rice, J. A. and Spencer, B. F. (2008). “Structural health monitoring sensor development for the Imote2 platform.” Proceedings of the SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace System, 693234, DOI: 10.1117/12.776695.
Spencer, B. F., Ruiz-Sandoval, M. E., and Kurata, N. (2004). “Smart sensing technology: opportunities and challenges.” Journal of Structural Control and Health Monitoring, Vol. 11, Issue 4, pp. 349–368, DOI: 10.1002/stc.48.
Wong, K. Y. (2004). “Instrumentation and health monitoring of cablesupported bridges.” Journal of Structural Control and Health Monitoring, Vol. 11, Issue 2, pp. 91–124, DOI: 10.1002/stc.33.
Yun, C. B., Lee, J. J., Kim, S. K., and Kim, J. W. (2003). “Recent R&D activities on structural health monitoring for civil infra-structures in Korea.” KSCE Journal of Civil Engineering, Vol. 7, No. 6, pp. 637–651, DOI: 10.1007/BF02829136.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Heo, G., Jeon, J. The principle and optimal design of a cochlea-inspired artificial filter bank (CAFB) for structural health monitoring. KSCE J Civ Eng 21, 307–314 (2017). https://doi.org/10.1007/s12205-016-0431-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12205-016-0431-7