참고문헌
- Abdel-Ghaffar, A.M. and Scanlan, R.H. (1985), "Ambient vibration studies of golden gate Bridge: II Pier-Tower Structure", J. Eng. Mech.-ASCE, 111(4), 483-499. https://doi.org/10.1061/(ASCE)0733-9399(1985)111:4(483)
- Abdel-Ghaffar, A.M., Scanlan, R.H. and Diehl, J.G. (1985), Analysis of the dynamic characteristics of the Golden Gate Bridge by ambient vibration measurements, Report No. 85-SM-1, Department of Civil Engineering, Princeton University, Princeton, NY.
-
Analog Devices (1999), ADXL202/ADXL210: Low Cost
${\pm}$ 2 g/${\pm}$ 10 g Dual Axis$iMEMS^{{\circledR}}$ Accelerometers with Digital Output Data Sheet, http://www.analog.com/en/prod/0,2877,ADXL202,00.html - Andersen P. (1997) Identification of Civil Engineering Structures Using Vector ARMA Models, PhD dissertation, Department of Building Technology and Structural Engineering, Aalborg University, Denmark.
- Aoki, S., Fujino, Y. and Abe, M. (2003), "Intelligent bridge maintenance system using MEMS and network technology", Proc. SPIE, 5057, 37-42.
- Cho, S., Yun, C.B., Lynch, J.P., Zimmerman, A.T., Spencer, Jr., B.F. and Nagayama, T. (2008), "Smart wireless sensor technology for structural health monitoring of civil structures", Int. J. Steel Struct., 8(4), 267-275.
- Crossbow Technology (2007), MICAz-Wirless Measurement System, Available at http://www.xbow.com/Products/ Product_pdf_files/Wireless_pdf/MICAz_Datasheet.pdf.
- De Roeck, G., Claesen, W. and Van Den Broeck, P. (1995), "DDS-methodology applied to parameter identification of civil engineering structures", Proceedings of the Vibration and Noise '95, Venice, Italy, April.
- Hackmann, G., Sun, F., Castaneda, N., Lu, C. and Dyke, S. (2008), A Holistic Approach to Decentralized Structural Damage Localization Using Wireless Sensor Networks, Technical Report No 2008-9, Department of Computer Science & Engineering, Washington University in St. Louis, MO.
- Heylen, W., Lammens, S. and Sas, P. (1995), Modal Analysis Theory and Testing, KUL Press, Leuven, Belgium.
- Hill, J., Gay, D. and Levis, P. (2003), Index of /tinyos-1.x/tos/system, Available at http://www.tinyos.net/tinyos- 1.x/tos/system.
- 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 Gi-Lu cable-stay bridge: application of wireless sensing units", Proceedings of the SPIE 13th Annual Symposium on Smart Structural and Materials, San Diego, CA, USA.
- 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", Proceedings of the SPIE's 10th Annual International Symposium on Smart Structures and Materials, San Diego, CA, USA, March.
- Lynch, J.P., Wang, Y., Law, K.H., Yi, J.H., Lee, C.G. and Yun, C.B. (2005), "Validation of a large-scale wireless structural monitoring system on the geumdang bridge", Proceedings of the International Conference on Safety and Structural Reliability (ICOSSAR), Rome, Italy.
- Nagayama, T., Ruiz-Sandoval, M., Spencer, Jr., B.F., Mechitov, K.A. and Agha, G. (2004), "Wireless strain sensor development for civil infrastructure", Proceedings of the 1st International Workshop on Networked Sensing Systems, Tokyo, Japan, June.
- Pakzad, S.N. and Fenves, G.L. (2009), "Statistical analysis of vibration modes of a suspension bridge using spatially dense wireless sensor network", J. Struct. Eng.-ASCE, 135(7), 863-872. https://doi.org/10.1061/(ASCE)ST.1943-541X.0000033
- 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. Eng., 14(1), 89-101. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(89)
- Pandit, S.M. (1991), Modal and Spectrum Analysis: Data Dependent Systems in State Space, John Wiley and Sons, New York.
- Pappa, R.S., Elliott, K.B. and Schenck, A. (1993), "Consistent mode indicator for eigen system realization algorithm", J. Guid. Control Dynam., 16(5), 852-858. https://doi.org/10.2514/3.21092
- Rice, J.A. and Spencer, Jr., B.F. (2008), "Structural health monitoring sensor development for the Imtoe2 platform", Proceedings of the SPIE Conference, San Diego, CA, USA.
- Ruiz-Sandoval, M., Nagayama, T. and Spencer, B.F. (2006), "Sensor development using berkeley mote platform", J. Earthq. Eng., 10(2), 289-309. https://doi.org/10.1080/13632460609350597
- Ruiz-Sandoval, M., Spencer, Jr., B.F. and Kurata, N. (2003), "Development of a high sensitivity accelerometer for the mica platform", Proceedings of the 4th International Workshop on Structural Health Monitoring, Stanford, CA, September.
- Silicon Designs (2007), Low Noise Analog Accelerometer, Available at http://www.silicondesigns.com/Pdf/1221.pdf.
- Spencer, Jr., B.F. (2003), "Opportunities and challenges for smart sensing technology", Proceedings of the International Conference on Structural Health Monitoring and Intelligent Infrastructure, Tokyo, Japan, November.
- Spencer, Jr., 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
- Stahl, F.L., Mohn, D.E. and Currie, M.C. (2007), The Golden Gate Bridge, Report of the Chief Engineer, Volume II, Golden Gate Bridge and Transportation District, San Francisco, CA.
- Strauss, J.B. (1937), The Golden Gate Bridge, Report to the Board of Directors of the Golden Gate Bridge and Highway District, California, September.
- 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
- Wu, H., Zonta, D., Pozzi, M., Zanon, P., Cerlonl, M., Monola, L., Picco, G.P., Murphy, A.L., Guna, S. and Carra, M. (2009), "Real-time health monitoring of historic buildings with wireless sensor networks", Proceedings of the 7th International Workshop on Structural Health Monitoring; From System Integration to Autonomous Systems, Lancaster, Pennsylvania 17602, USA.
피인용 문헌
- Modified Natural Excitation Technique for Stochastic Modal Identification vol.139, pp.10, 2013, https://doi.org/10.1061/(ASCE)ST.1943-541X.0000559
- A digital output accelerometer using MEMS-based piezoelectric accelerometers and arrayed CMOS inverters with satellite capacitors vol.20, pp.6, 2011, https://doi.org/10.1088/0964-1726/20/6/065017
- The Node Arrangement Methodology of Wireless Sensor Networks for Long-Span Bridge Health Monitoring vol.9, pp.10, 2013, https://doi.org/10.1155/2013/865324
- A Recent Research Summary on Smart Sensors for Structural Health Monitoring vol.19, pp.3, 2015, https://doi.org/10.11112/jksmi.2015.19.3.010
- Sensor Placement Optimization in Structural Health Monitoring Using Cluster-In-Cluster Firefly Algorithm vol.17, pp.8, 2014, https://doi.org/10.1260/1369-4332.17.8.1103
- Smart sensing, monitoring, and damage detection for civil infrastructures vol.15, pp.1, 2011, https://doi.org/10.1007/s12205-011-0001-y
- The Nonuniform Node Configuration of Wireless Sensor Networks for Long-Span Bridge Health Monitoring vol.9, pp.9, 2013, https://doi.org/10.1155/2013/797650
- Wireless sensor placement for structural monitoring using information-fusing firefly algorithm vol.26, pp.10, 2017, https://doi.org/10.1088/1361-665X/aa7930
- Survey and Introduction to the Focused Section on Mechatronics for Sustainable and Resilient Civil Infrastructure vol.18, pp.6, 2013, https://doi.org/10.1109/TMECH.2013.2283537
- Architecture of Wireless Vehicle Weight Measurement System for Structural Health Monitoring in Civil Engineering Application vol.11, pp.8, 2015, https://doi.org/10.1155/2015/202545
- Structural damage detection and localisation using multivariate regression models and two-sample control statistics vol.11, pp.10, 2015, https://doi.org/10.1080/15732479.2014.949277
- Stochastic iterative modal identification algorithm and application in wireless sensor networks vol.20, pp.8, 2013, https://doi.org/10.1002/stc.1521
- Golden Gate Bridge Response: A Study with Low-Amplitude Data from Three Earthquakes vol.28, pp.2, 2012, https://doi.org/10.1193/1.4000018
- Observer Kalman Filter Identification for Output-Only Systems Using Interactive Structural Modal Identification Toolsuite vol.19, pp.5, 2014, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000530
- Statistical characteristics of sustained wind environment for a long-span bridge based on long-term field measurement data vol.17, pp.1, 2013, https://doi.org/10.12989/was.2013.17.1.043
- An Iterative Modal Identification Algorithm for Structural Health Monitoring Using Wireless Sensor Networks vol.29, pp.2, 2013, https://doi.org/10.1193/1.4000133
- Measuring and modelling the thermal performance of the Tamar Suspension Bridge using a wireless sensor network vol.11, pp.2, 2015, https://doi.org/10.1080/15732479.2013.862727
- Optimal sensor configuration for flexible structures with multi-dimensional mode shapes vol.24, pp.5, 2015, https://doi.org/10.1088/0964-1726/24/5/055012
- Wireless MEMS-Based Accelerometer Sensor Boards for Structural Vibration Monitoring: A Review vol.17, pp.2, 2017, https://doi.org/10.1109/JSEN.2016.2630008
- RTEA: Real-Time and Energy Aware Routing for Industrial Wireless Sensor Networks vol.95, pp.4, 2017, https://doi.org/10.1007/s11277-017-4109-3
- Piezoelectric dynamic strain monitoring for detecting local seismic damage in steel buildings vol.22, pp.11, 2013, https://doi.org/10.1088/0964-1726/22/11/115002
- Survey on robotics and automation technologies for civil infrastructure vol.13, pp.6, 2014, https://doi.org/10.12989/sss.2014.13.6.891
- Distributed modal identification using restricted auto regressive models vol.42, pp.9, 2011, https://doi.org/10.1080/00207721.2011.563875
- Compressive sensing based structural damage detection and localization using theoretical and metaheuristic statistics vol.24, pp.4, 2017, https://doi.org/10.1002/stc.1881
- Time and frequency domain regression-based stiffness estimation and damage identification vol.21, pp.3, 2014, https://doi.org/10.1002/stc.1570
- Smartphone data streams for bridge health monitoring vol.199, 2017, https://doi.org/10.1016/j.proeng.2017.09.203
- Internet-Enabled Wireless Structural Monitoring Systems: Development and Permanent Deployment at the New Carquinez Suspension Bridge vol.139, pp.10, 2013, https://doi.org/10.1061/(ASCE)ST.1943-541X.0000609
- A Novel Wireless Accelerometer Board for Measuring Low-Frequency and Low-Amplitude Structural Vibration vol.16, pp.9, 2016, https://doi.org/10.1109/JSEN.2016.2522940
- Effects of measurement noise on modal parameter identification vol.21, pp.6, 2012, https://doi.org/10.1088/0964-1726/21/6/065008
- Structural Identification for Mobile Sensing with Missing Observations vol.142, pp.5, 2016, https://doi.org/10.1061/(ASCE)EM.1943-7889.0001046
- Improved ABC Algorithm Optimizing the Bridge Sensor Placement vol.18, pp.7, 2018, https://doi.org/10.3390/s18072240
- Applying ZigBee wireless sensor and control network for bridge safety monitoring vol.10, pp.7, 2018, https://doi.org/10.1177/1687814018787398
- In-construction vibration monitoring of a super-tall structure using a long-range wireless sensing system vol.7, pp.2, 2010, https://doi.org/10.12989/sss.2011.7.2.083
- Application of MEMS‐based accelerometer wireless sensor systems for monitoring of blast‐induced ground vibration and structural health: a review vol.9, pp.3, 2019, https://doi.org/10.1049/iet-wss.2018.5099
- Bayesian forecasting approach for structure response prediction and load effect separation of a revolving auditorium vol.24, pp.4, 2010, https://doi.org/10.12989/sss.2019.24.4.507