Structural Health Monitoring Using Smart Sensors - ideals ...

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Straser, E. G. & Kiremidjian A. S. (1996). "A modular visual approach to damage monitoring for civil structures." Proceedings of SPIE - Smart Structures and Materials, San Diego, CA, 2719, 112-122. Straser, E. G. & Kiremidjian A. S. (1998). "A modular, wireless damage monitoring system for structures." The John A. Blume Earthquake Engineering Center Technical Report, 128. Studer, M. & Peters, K. (2004). “Multi-scale sensing for damage identification”, Smart Materials and Structures, 13, 283-294. Sun, C. T. and Lu, Y. P. (1995). Vibration damping of structural elements. Englewood Cliffs, NJ: Prentice Hall. Tang, J. P. and Leu, K. M. (1989). “Vibration tests and damage detection of P/C bridges” ICOSSAR 1989, Proceedings of 5th International Conference on Structural Safety and Reliability, ASCE, San Francisco, CA, 2263-2266. Tanner, N. A., Farrar, C. R., & Sohn, H. (2002). “Structural health monitoring using wireless sensing systems with embedded processing.” Proceedings of SPIE - NDE and Health Monitoring of Aerospace Materials and Civil Infrastructure, 4704, 215-224. Tanner, N. A., Wait, J. R., Farrar, C. R., & Sohn, H. (2003). “Structural health monitoring using modular wireless sensors.” Journal of Intelligent Material Systems and Structures, 14(1), 43-56. Texas Instruments. (2007) “Is DSP Right for You?” (Mar. 2, 2007). The MathWorks, Inc. (Mar. 2, 2007). TinyOS. (Mar. 2, 2007). Toksoy, T. & Aktan, A. E. (1994). “Bridge-condition assessment by modal flexibility.” Experimental Mechanics, 34, 271-278. Vapnik, V. (1998). Statistical Learning Theory, New York: Wiley. Wang, M. L., Gu, H., Lloyd, G. M., & Zhao, Y. (2003). “A multi-channel wireless PVDF displacement sensor for structural monitoring.” Proceedings of Int. Workshop on Advanced Sensors, Structural Health Monitoring and Smart Structures, Tokyo, Japan, 1- 6. West, W. M. (1984). “Illustration of the use of modal assurance criterion to detectstructural changes in an orbiter test specimen.” Proceedings of Air Force Conference on Aircraft Structural Integrity, 1-6. Williams, C. & Salawu, O. S. (1997). “Damping as a damage indication parameter.” Proceedings of 15th International Modal Analysis Conference, 1531-1536. Wong, K.-Y. (2004). “Instrumentation and health monitoring of cable-supported bridges.” Structural Control and Health Monitoring, 11(2), 91-124. 177
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Page 1 and 2:
NSEL Report Series Report No. NSEL-
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The Newmark Structural Engineering
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Contents Page CHAPTER 1 INTRODUCTIO
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9.2.3 Power harvesting . . . . . .
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damage/deterioration is intrinsical
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scalability to a large number of sm
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logic circuit. However, FPGAs are m
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easons, smart sensors spatially dis
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Figure 2.1. EYES project sensor pro
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Table 2.1. Smart Sensor Specificati
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While a number of sensor boards for
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need to be within the coordinator's
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eing examined (Moore et al., 2001).
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structural damage, the analysis to
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that sensor installation cost inclu
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(2004) indicated that this accelero
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different type of sensors connected
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Chapter 3 SHM ARCHITECTURE This cha
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Modal operation Several modal opera
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its spatial gradient, which is clai
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Manager node Cluster head node Leaf
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commands; execution timing cannot b
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Table 3.2. Desirable Characteristic
Page 47 and 48:
Table 3.2. Desirable Characteristic
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Figure 4.1. Foil strain gage. strai
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dB A s Figure 4.4. AA filter design
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8.32F 3V 3.45F 3V Input 1K 1K 1K 1K
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Strain ( ) 80 w/o Digital Filter 60
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performance was experimentally vali
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anges from 10 to 20. If 50 percent
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Node 1 x1 i =1,2,…,ns E x 1
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Correlation function estimate (m 2
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Figure 5.5. Effect of data loss and
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Frobenius norm. Because only a limi
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90 80 70 60 50 Node1 Node2 Node3 No
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On reception of a NACK, the sender
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Sender SendLData.send() Pack parame
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If there are missing packets, the r
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Sender SendLData.bcast() Pack param
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Sender Send a packet • Sender sen
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utilized in SHM applications follow
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where R xxref is a vector consistin
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Time (sec) 80 60 40 20 0 -20 -40 -6
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Difficulties encountered in realizi
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1.8715 x10 5 #ofdatablocks 1.871 me
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Before this decimation is applied,
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where xn is the original signal,
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Timer firing every T3 110 data poin
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locks before or after the current b
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Chapter 6 ALGORITHMS In this chapte
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The eigenproblem of the system matr
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where M 0 is the mass matrix of the
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same community, eliminating the nee
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measurement or mass perturbation ca
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these algorithms are implemented on
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10 0 10 -2 10 -4 0 500 1000 1500 20
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Table 7.1. SVD Accuracy Check on Ma
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7.1.4 Complex matrix inverse A comp
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Figure 7.9. Details of the joint (G
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Figure 7.13. Amplifier (Gao, 2005).
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0.08 0.2 Acceleration (g) 0.04 0 -0
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3 Imote2_2/Imote2_1 Imote2_1/Siglab
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200 3 Phase of spectral densities (
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1.5 x10-17 Time (sec) Difference in
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input forces applied at nodes in th
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CH1 CH2 CH3 …. CHn-1 CHn Initiali
Page 133 and 134: 1 2 Node ID 102 RETAKE 1 3 4 INCONS
Page 135 and 136: Initialization: within local sensor
Page 137 and 138: PC Base station Manager sensor Clus
Page 143 and 144: Table 7.7. Instructions in DCS Code
Page 145 and 146: EXPERIMENTAL VERIFICATION Chapter 8
Page 147 and 148: 8 x10-3 Time (sec) Correlation func
Page 149 and 150: Table 8.2. Mass Normalization Const
Page 151 and 152: 1 2 Node ID 67 RETAKE 0 3 4 ID 67 #
Page 153 and 154: for a SHM strategy does not necessa
Page 155 and 156: are saved. The 420 seconds listed a
Page 157 and 158: 1 1 Normalized accumulated stress m
Page 163 and 164: Table 8.5. Summary of False Damage
Page 165 and 166: Table 8.7. Summary of False Damage
Page 167 and 168: e scalability, autonomous distribut
Page 169 and 170: The lowest frequencies of interest
Page 171 and 172: structural vibration is considered
Page 173 and 174: REFERENCES Actis, R. L. & Dimarogon
Page 175 and 176: Casciati, F., Faravelli, L, Borghet
Page 177 and 178: Feldman, M. & Braun, S. (1995). “
Page 179 and 180: Kling, R. (2003). “Intel Mote: an
Page 181 and 182: Mufti, A. A. (2003). “Integration
Page 183: Sazonov, E., Janoyan, K., & Jha, R.
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