Acknowledgement
Supported by : National Research Foundation of Korea
References
- Cho, S., Lynch, J.P., Lee, J.J. and Yun, C.B. (2010), "Development of an automated wireless tension force estimation system for cable-stayed bridges", J. Intel. Mat. Syst. Str., 21, 361-376. https://doi.org/10.1177/1045389X09350719
- Design, S. SD1221 Manual. Available online: http://www.silicondesigns.com/pdfs/1221.pdf
- Gao, Y., Spencer Jr., B.F. and Ruiz-Sandoval, M. (2005), "Distributed computing strategy for structural health monitoring", Struct. Health Monit., 43(1), 488-507.
- Hackmann, G., Sun, F., Castaneda, N., Lu, C. and Dyke, S. (2012), "A holistic approach to decentralized structural damage localization using wireless sensor networks", Comput Commun., 36(1), 29-41. https://doi.org/10.1016/j.comcom.2012.01.010
- Ho, D.D., Lee, P.Y., Nguyen, K.D., Hong, D.S., Lee, S.Y., Kim, J.T. and Shinozuka, M. (2012), "Solar-powered multi-scale sensor node on lmote 2 platform for hybrid SHM in cable-stayed bridge", Smart Struct. Syst., 9(2), 145-164. https://doi.org/10.12989/sss.2012.9.2.145
- Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", J. Guid. Contr. Dynam., 8(5), 620-627. https://doi.org/10.2514/3.20031
- Jang, S., Sim, S.H., Jo, H. and Spencer, Jr., B.F. (2012), "Full-scale experimental validation of decentralized damage identification using wireless smart sensors," Smart Mater. Struct., 21(11), 115019. https://doi.org/10.1088/0964-1726/21/11/115019
- Jo, H., Sim, S.H., Nagayama, T. and Spencer Jr, B. (2011), "Development and application of high sensitivity wireless smart sensors for decentralized stochastic modal identification", J. Eng. Mech. - ASCE, 138(6), 683-694. https://doi.org/10.1061/(asce)em.1943-7889.0000352
- Koo, K., Sung, S. and Jung, H. (2011), "Damage quantification of shear buildings using deflections obtained by modal flexibility", Smart Mater. Struct, 20, 045010. https://doi.org/10.1088/0964-1726/20/4/045010
- Kurata, N., Spencer, B.F. and Ruiz-Sandoval, M. (2005), "Risk monitoring of buildings with wireless sensor networks", Struct. Health Monit., 12(3-4), 315-327. https://doi.org/10.1002/stc.73
- Ling, Q., Tian, Z., Yin, Y. and Li, Y. (2009), "Localized structural health monitoring using energy-efficient wireless sensor networks", IEEE Sens. J., 9(11), 1596-1604. https://doi.org/10.1109/JSEN.2009.2019318
- Lynch, J.P., Sundararajan, A., Law, K.H., Kiremidjian, A.S., Carryer, E., Sohn, H. and Farrar, C.R. (2003), "Field validation of a wireless structural health monitoring system on the Alamosa Canyon Bridge", Proc. of the SPIE, 5057, 267-278
- Lynch J.P., Sundararajan A., Law K.H., Kiremidjian A.S. and Carryer E. (2004), "Embedding damage detection algorithms in a wireless sensing unit for operational power efficiency", Smart Mater. Struct., 13(4) 800-810 https://doi.org/10.1088/0964-1726/13/4/018
- Nagayama, T. and Spencer Jr., B.F. (2007), Structural health monitoring using smart sensors, Newmark Structural Engineering Laboratory (NSEL) Report Series, No. 1, University of Illinois at Urbana-Champaign, Urbana, Illinois.
- Park, J.H., Hong, D.S., Kim, J.T., Koo, K.Y., Yun, C.B. and Park, G. (2008), "Wireless sensing and embedded monitoring algorithm for damage diagnosis in PSC girders", Adv. Sci. Technol., 56, 420-425. https://doi.org/10.4028/www.scientific.net/AST.56.420
- Rice, J.A. and Spencer, Jr., B.F. (2009), Flexible smart sensor framework for autonomous full-scale structural health monitoring, Newmark Structural Engineering Laboratory (NSEL) Report Series, No. 18, University of Illinois at Urbana-Champaign, Urbana, Illinois.
- Sim, S., Spencer Jr. B., Zhang, M., Xie, H. (2010), "Automated decentralized modal analysis using smart sensors", Struct. Health Monit., 17(8), 872-894. https://doi.org/10.1002/stc.348
- STMicroelectronics LIS344ALH manual. Available online: http://www.st.com/internet/analog/product/207281.jsp
- Zimmerman, A.T., Shiraishi, M., Swartz, R.A. and Lynch, J.P. (2008), "Automated modal parameter estimation by parallel processing within wireless monitoring systems", J. Infrastruct. Syst., 14(1), 102-113. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(102)
- Zimmerman, A.T. and Lynch, J.P. (2009), "A parallel simulated annealing architecture for model updating in wireless sensor networks", IEEE Sens. J., 9(11), 1503-1510. https://doi.org/10.1109/JSEN.2009.2019323
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