References
- Bensky, A. (2004), Short-range Wireless Communication, Elsevier, Oxford, UK.
- Brinker, R., Zhang, L. and Andersen, P. (2001), "Modal identification of output-only systems using frequency domain decomposition", Smart Mater. Struct., 10(3), 441-445. https://doi.org/10.1088/0964-1726/10/3/303
- Cantieni, R. (1983), Dynamic Load Tests on Highway Bridges in Switzerland – 60 years of Experience, Report 211, Federal Laboratory for Testing of Materials, Switzerland.
- Ginsberg, J.H. (2001), Mechanical and Structural Vibrations : Theory and Applications, Wiley, New York, NY.
- Grini, D. (2006), CC2420 with External PA, Application Note 37, Texas Instruments, Dallas, TX.
- IEEE (2006), Standard for Information Technology - Telecommunications and Information Exchange between Systems - Local and Metropolitan Area Networks - Specific Requirements Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LRWPANs), Available at http://standards.ieee.org/getieee802/802.15.html.
- Jones, J.D. and Pei, J.S. (2009), "Embedded algorithms within an FPGA to classify nonlinear single-degree-offreedom systems", IEEE Sens. J., 9(11), 1486-93. https://doi.org/10.1109/JSEN.2009.2019322
- Kijewski-Correa, T. and Su, S. (2009), "BRAIN: a bivariate data-driven approach to damage detection in multiscale wireless sensor networks", Smart Struct. Syst., 5(4), 415-426. https://doi.org/10.12989/sss.2009.5.4.415
- Kim, J., Lynch, J.P., Zonta, D., Yun, C.B. and Lee, J.J. (2009), "Modal analysis of the Yeondae Bridge using a reconfigurable wireless monitoring system", Proceedings of the 10th International Conference on Structural Safety and Reliability (ICOSSAR'09), Osaka, Japan, September.
- Koo, K.Y., Hong, J.Y., Park, H.J. and Yun, C.B. (2008), "Remotely controllable structural health monitoring systems for bridges using 3.5 generation mobile telecommunication technology", Proceedings of IABMAS 2008: Bridge Maintenance, Safety, Management, Health Monitoring and Informatics, Seoul, Korea, July.
- Lee, C.G., Lee, W.T., Yun, C.B. and Choi, J.S. (2004), Development of Integrated System for Smart Evaluation of Load Carrying Capacity of Bridges, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
- Lee, J.J., Fukuda, Y., Shinozuka, M., Cho, S. and Yun, C.B. (2007), "Development and application of a visionbased displacement measurement system for structural health monitoring of civil structures," Smart Struct. Syst., 3(3), 373-384. https://doi.org/10.12989/sss.2007.3.3.373
- Lei, Y., Kiremidjian, A.S., Nair, K.K., Lynch, J.P. and Law, K.H. (2005), "Algorithms for time synchronization of wireless structural monitoring sensors", Earthq. Eng. Struct. D., 34(6), 555-573. https://doi.org/10.1002/eqe.432
- Lian, F.L., Moyne, J.R. and Tilbury, D.M. (2005), Network Protocols for Networked Control Systems, Handbook of Networked and Embedded Control Systems (Ed. D. Hristu-Varsakelis and W.S. Levine), Boston, MA.
- Lu, K.C., Wang, Y., Lynch, J.P., Loh, C.H., Chen, Y.J., Lin, P.Y. and Lee, Z.K. (2006), "Ambient vibration study of the Gi-Lu cable-stay bridge: application of wireless sensing units", Proceedings of the SPIE - The International Society for Optical Engineering, San Diego, CA, March.
- Lynch, J.P., Law, K.H., Kiremidjian, A.S., Carryer, E., Farrar, C.R., Sohn, H., Allen, D.W., Nadler, B. and Wait, J.R. (2004a), "Design and performance validation of a wireless sensing unit for structural monitoring applications", Struct. Eng. Mech., 17(3-4), 393-408. https://doi.org/10.12989/sem.2004.17.3_4.393
- Lynch, J.P., Sundararajan, A., Law, K.H., Kiremidjian, A.S. and Carryer, E. (2004b), "Embedding damage detection algorithms in a wireless sensing unit for attainment of operational power efficiency", Smart Mater. Struct., 13(4), 800-810. https://doi.org/10.1088/0964-1726/13/4/018
- Lynch, J.P., Wang, Y., Loh, K., Yi, J.H. and Yun, C.B. (2006), "Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors", Smart Mater. Struct., 15(6), 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
- Lynch, J.P. and Loh, K.J. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock Vib. Digest, 38(2), 91-128. https://doi.org/10.1177/0583102406061499
- Nagayama, T. and Spencer, B. F. (2007), Structural Health Monitoring using Smart Sensors, NSEL Report Series 001, http://hdl.handle.net/2142/3521.
- Oppenhiem, A.V. and Schafer, R.W. (1999), Discrete-time Signal Processing, New Jersey: Prentice-Hall Inc.
- Pakzad, S.N., Fenves, G.L., Kim, S. and Culler, D.E. (2008), "Design and implementation of scalable wireless sensor network for structural monitoring", J. Infrastruct. Syst., 14(1), 89-101. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(89)
- Peeters, B. and Ventura, C.E. (2003), "Comparative study of modal analysis techniques for bridge dynamic characterizes", Mech. Syst. Signal Pr., 17(5), 965-988. https://doi.org/10.1006/mssp.2002.1568
- Raghavendra, C.S., Sivalingam, K.M. and Znati, T.F. (2004), Wireless sensor networks, Springer, New York, NY.
- Rice, J.A., Mechitov, K.A., Spencer, B.F. and Agha, G.A. (2008), "A service-oriented architecture for structural health monitoring using smart sensors", Proceedings of the 14th World Conference on Earthquake Engineering, Beijing, China.
- Salawu, O.S. and Williams, C. (1995), "Review of full-scale dynamic testing of bridge structures", Eng. Struct., 17(2), 113-121. https://doi.org/10.1016/0141-0296(95)92642-L
- Shih, C.Y., Tsuei, Y.G., Allemang, R.J. and Brown, D.L. (1988), "Complex mode indication function and its applications to spatial domain parameter estimation", Mech. Syst. Signal Pr., 2(4), 367-377. https://doi.org/10.1016/0888-3270(88)90060-X
- Silicon Designs (2009), Model 2012 Analog Accelerometer Module, Data Sheet, Silicon Designs Inc., Issaquah, WA.
- Spencer, B.F., Ruiz-Sandoval, M.E. and Kurata, N. (2004), "Smart sensing technology: opportunities and challenges", Struct. Control Health Monit., 11(4), 349-368. https://doi.org/10.1002/stc.48
- Straser, E. and Kiremidjian, A.S. (1998), A Modular, Wireless Damage Monitoring System for Structures, Blume Earthquake Engineering Center Report No. 128, Stanford, CA.
- Swartz, R.A., Jung, D., Lynch, J.P., Wang, Y., Shi, D. and Flynn, M.P. (2005), "Design of a wireless sensor for scalable distributed in-network computation in a structural health monitoring system", Proceedings of the 5th International Workshop on Structural Health Monitoring, Stanford, CA, June.
- Swartz, R.A. and Lynch, J.P. (2009), "Strategic network utilization in a wireless structural control system for seismically excited structures", J. Struct. Eng.-ASCE, 135(5), 597-608. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000002
- Swartz, R.A., Zimmerman, A.T., Lynch, J.P., Rosario, J., Brady, T., Salvino, L. and Law, K.H. (2009), "Hybrid wireless hull monitoring system for naval combat vessels," Struct. Infrastruct. E., under review.
- Texas Instruments (2003), ADS8341 16-Bit, 4-Channel Serial Output Sampling Analog-to-Digital Converter, http://focus.ti.com/lit/ds/symlink/ads8341.pdf.
- Texas Instruments (2008), CC2420 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF Transceiver, http://focus.ti.com/lit/ ds/symlink/cc2420.pdf.
- Wang, Y, Lynch, J.P. and Law, K.H. (2007), "A wireless structural health monitoring system with multithreaded sensing de-vices: design and validation", Struct. Infrastruct. E., 3(2), 103-120. https://doi.org/10.1080/15732470600590820
- Whelan, M.J. and Janoyan, K.D. (2009), "Design of a robust, high-rate wireless sensor network for static and dynamic structural monitoring", J. Intel. Mat. Syst. Str., 20(7), 849-863. https://doi.org/10.1177/1045389X08098768
- Yan, G., Dyke, S.J. and Song, W. (2009), "Structural damage localization with tolerance to large time synchronization errors in WSNs", Proceedings of the 2009 American Control Conference, St. Louis, MO, May.
- Zimmerman, A.T., Shiraishi, M., Swartz, R.A., 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)
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