Novel sensing techniques for full-scale testing of civil structures

Abstract

Performing full-scale structural testing is an important methodology for researchers and engineers in the civil engineering industry. Full scale testing helps the researchers understand civil infrastructures’ loading scenarios, behaviors, and health conditions. It helps the engineers verify, polish, and simplify the structural design and analysis theories. To conduct a full-scale structural testing, sensors are used for data acquisitions. To help structural researchers and engineers get familiar with sensing technologies and select the most effective sensors, this study reviewed and categorized new sensing techniques for full-scale structural testing applications. The researchers of this study categorized sensors used for civil-infrastructure testing into traditional contact sensors and remote sensors based upon their application methodologies, and into cabled sensors and wireless sensors based upon their data communication strategies. The detailed descriptions of wireless sensors and remote sensing techniques and their on-site full-scale applications are presented.

Keywords

sensing technique / full-scale testing / wireless sensor / remote sensing / LiDAR / laser vibrometer

References

[1] Grédiac M. The use of full-field measurement methods in composite material characterization: Interest and limitations. Composites, Part A, 2004, 35(7-8): 751-761

[2] Fu G, Moosa A G. An optical approach to structural displacement measurement and its application. Journal of Engineering Mechanics, 2002, 128(5): 511-520

[3] Maas H G, Hampel U. Photogrammetric techniques in civil engineering material testing and structure monitoring. Photogrammetric Engineering and Remote Sensing, 2006, 72(1): 39-45

[4] Lee S, Chang L M, Skibniewski M. Automated recognition of surface defects usingdigital color image processing. Automation in Construction, 2006, 15(4): 540-549

[5] Hutt T, Cawley P. Feasibility of digital image correlation for detection of cracks at fastener holes. NDT & E International, 2009, 42(2): 141-149

[6] Koschitzki R, Schacht G, Schneider D, Marx S, Maas H G. Integration of photogrammetry and acoustic emission analysis for assessing concrete structures during loading tests. Videometrics, Range Imaging, and Applications XI. Proceedings of the Society for Photo-Instrumentation Engineers, 2011, 8085 (Munich, Germany.)

[7] Ye J, Fu G, Poudel U P. Edge-based close-range digital photogrammetry for structural deformation measurement. Journal of Engineering Mechanics, 2011, 137(7): 475-483

[8] Jacquot P, Facchini M. Interferometric imaging: Involvement in civil engineering. Journal of Computing in Civil Engineering, 1999, 13(2): 61-70

[9] Krajewski J E. Bridge inspection and interferometry. <DissertationTip/>. Worcester Polytechnic Institute, Worcester, MA, US, 2006

[10] Alhaddad B I, Roca J, Burns M C, Garcia J. Satellite imagery and LiDARdata for efficiently describing structures and densities in residential urban land uses classification. The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences, 2008, XXXVII(Part B8): 35-40

[11] Chen Z. Identifying structural damage from images. <DissertationTip/>,University of California, San Diego, San Diego, CA, US, 2009

[12] Suárez J C, Ontiveros C, Smith S, Snape S. Use of airborne LiDAR and aerial photography in the estimation of individual tree heights in forestry. Computers & Geosciences, 2005, 31(2): 253-262

[13] Rice C, Chen S, Dai K, Liu W, Eguchi R, Hauser E, Boyle C, Phibrick B. Remote sensing techniques for bridge inspection. TRB 89th Annual Meeting, Washington, DC, 2010

[14] Chen S E, Rice C, Boyle C, Hauser E. Small-format aerial photography for highway-bridge monitoring. Journal of Performance of Constructed Facilities, 2011, 25(2): 105-112

[15] Rathinam S, Kim W Z, Sengupta R. Vision-based monitoring of locally linear structures using an unmanned aerial vehicle. Journal of Infrastructure Systems, 2008, 14(1): 52-63

[16] Washer G, Fenwick R, Bolleni N, Harper J. Effects of environmental variables on infrared imaging subsurface features of concrete bridges. Journal of the Transportation Research Board, 2009, 2108(-1): 107-114

[17] ASTM. ASTM D4788-03: Standard test method for detecting delamination in bridge decks using infrared thermography. 2007

[18] Bungey J H. Sub-surface radar testing of concrete: A review. Construction & Building Materials, 2004, 18(1): 1-8

[19] Hing C L C, Halabe B U. Nondestructive testing of GFRP bridgedecks using groundpenetrating radar and infrared thermography. Journal of Bridge Engineering, 2010, 15(4): 391-398

[20] Nair A, Cai C S. Acoustic emission monitoring of bridges: Review and case studies. Engineering Structures, 2010, 32(6): 1704-1714

[21] Xu B, Zhang T, Song G, Gu H. Active interface debonding detection of a concrete-filled steel tube with piezoelectric technologies using wavelet packet analysis. Mechanical Systems and Signal Processing, 2011, (in press)

[22] Park H J, Sohn H, Yun C B. Development of a Laser-based Wireless Active Sensing Technique. In: Proceedings of the 6th International Workshop on Advanced Smart Materials and Smart Structures Technology, Dalian, China, 2011

[23] Kee S H, Zhu J. Using air-coupled sensors to determine the depth of a surface breaking crack in concrete. Journal of the Acoustical Society of America, 2010, 127(3): 1279-1287

[24] Ahlborn T M, Harris D K, Brooks C N, Endsley K A, Evans D C, Oats R C. Remote sensing technologies for detecting bridge deterioration and condition assessment. NDE/NDT for Highways and Bridges: Structural Materials Technology (SMT) Conference. New York: American Society for Nondestructive Testing, 2010

[25] Amann M C, Bosch T, Lescure M, Myllyla R, Rioux M. Laser ranging: A critical review of usual techniques for distance measurement. Optical Engineering (Redondo Beach, Calif.), 2001, 40(1): 10-19

[26] Pieraccini M, Fratini M, Parrini F, Atzeni C, Bartoli G. Interferometric radar vs. accelerometer for dynamic monitoring of large structures: An experimental comparison. NDT & E International, 2008, 41(4): 258-264

[27] Pieraccini M, Tarchi D, Rudolf H, Leva D, Luzi G, Bartoli G, Atzeni C. Structural static testing by interferometric synthetic radar. NDT & E International, 2000, 33(8): 565-570

[28] Pieraccini M, Fratini M, Parrini F, Macaluso G, Atzeni C. High-speed CW step-frequency coherentradar for dynamic monitoring of civilengineering structures. Electronics Letters, 2004, 40(14): 907-908

[29] Gentile C, Bernardini G. Output-only modal identification of a reinforced concrete bridge fromradar-based measurements. NDT & E International, 2008, 41(7): 544-553

[30] Chiara P. Morelli, A. Bridge testing with ground-based interferometricradar:Experimental results. Proceedings of the 9th International Conference on Vibration Measurements by Laser and Noncontact Techniques and Short Course, E. P. Tomasini (Ed.),Ancona,Italy: American Institute of Physics, 2010, 202-208

[31] Spencer B F Jr. Opportunities and challenges for smart sensing technology. In: Proceedings of the International Conference on Structural Health Monitoring and Intelligent Infrastructure, Tokyo, Japan, 2003, 65-71

[32] Nagayama, T. and Spencer, B.F.Jr. Structural health monitoring using smart sensors, NSEL Report, Series 001, University of Illinois at Urbana-Champaign, 2007

[33] Westermo B, Thompson L D. A peak strain sensor for damage assessment and health monitoring. International Workshop on Structural Health Monitoring, 1997, 515-526

[34] Pines D J, Lovell P A. Conceptual framework of a remote wireless health monitoring system for large civil structures. Smart Materials and Structures, 1998, 7(5).627-636

[35] Pines D J. Monitoring the health of civil infrastructure. Structural Congress Proceedings: Structural Engineering in the 21st Century, 1999, 352-356

[36] Subramanian H, Varadan V, Varadan V K. Wireless remotely readable microaccelerometer. Proceedings of the Society for Photo-Instrumentation Engineers, 1997, 3046: 220-228

[37] Varadan V K, Subramanian H, Varadan V V. Design and fabrication of wireless remotely readable MEMS accelerometers. In: Proceedings of the Society for Photo-Instrumentation Engineers, 1997, 3242: 36-45

[38] Varadan V K, Subramanian H, Varadan V V. Wireless remote accelerometer. In: Proceedings of the Society for Photo-Instrumentation Engineers, 1998, 3316: 497-503

[39] Varadan V K. Varadan V V. Wireless remotely readable and programmable microsensor and MEMS for health monitoring of aircraft structures. International Workshop on Structural Health Monitoring, 2nd Conference, 1999, 96-105

[40] Varadan V K, Varadan V V, Subramanian H. Fabrication, characterization and testing of wireless MEMS-IDT based microaccelerometers. Sensors and Actuators. A, Physical, 2001, A90(1-2): 7-19

[41] Krantz D, Belk J, Biermann P J, Dubow J, Gause L W, Harjani R, Mantell S, Polla D, Troyk P. Project update: Applied research on remotely queried embedded microsensors. SPIE Proceedings, 1999, 3673

[42] Oshima T, Rahman M S, Makami S, Yamazaki T, Takada N, Lesko J J, Kriz R D. Application of smart materials and systems to long-term bridge health monitoring. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2000, 3995: 253-263

[43] Wang D H, Liao W H. Instrumentation of a wireless transmission system for health monitoring of large infrastructures. In: Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference, 2001, 634-639

[44] Evans J R. Wireless monitoring and low-cost accelerometers for structures and urban sites. Strong Motion Instrumentation for Civil Engineering Structures. Proceedings of the NATO Advanced research Workshop on Strong Motion Instrumentation for Civil Engineering Structures, Istanbul, Turkey, 2001, 229-242

[45] Mita A. Takahira S. Peak strain and displacement sensors for structural health monitoring. In: Proceedings of the 3rd International Workshop on Structural Health Monitoring: The Demands and Challenges, 2001, 1033-1040

[46] Lynch J P, Loh K J. A summary review of wireless sensors and sensor networks for structural health monitoring. Shock and Vibration Digest, 2006, 38(2): 91-128

[47] Straser E G. Kiremidjian A S. A modular, wireless damage monitoring system for structures. Technical Report 128, Stanford, CA: John A. Blume Earthquake Engineering Center, Stanford University, 1998

[48] Lynch J P, Law K H, Kiremidjian A S, Kenny T W, Carryer E, Partridge A. The design of a wireless sensing unit for structural health monitoring. In: Proceedings of the 3rd International Workshop on Structural Health Monitoring, Stanford, CA, 2001

[49] Lynch J P, Law K H, Kiremidjian A S, Kenny T W, Carryer E. A wireless modular monitoring system for civil structures. In: Proceedings of the 20th International Modal Analysis Conference (IMAC XX), Los Angeles, CA, 2002

[50] Lynch J P, Law K H, Kiremidjian A S, Carryer E, Kenny T W, Partridge A, Sundararajan A. Validation of a wireless modular monitoring system for structures. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2002, 4696(2): 17-21

[51] Lynch J P, Sundararajan A, Law K H, Kiremidjian A S, Carryer E, Sohn H, Farrar C R. Field validation of a wireless structural health monitoring system on the Alamosa Canyon Bridge. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2003, 5057: 267-278

[52] Lynch J P, Sundararajan A, Law K H, Carryer E, Farrar C R, Sohn H, Allen D W, Nadler B, Wait J R. Design and Performance Validation of a Wireless Sensing Unit for Structural Health Monitoring Applications. Structural Engineering & Mechanics, 2004, 17(3): 393-408

[53] Lynch J P, Parra-Montesinos G, Canbolat B A, Hou T C. Real-time damage prognosis of high-performance fiber reinforced cementitious composite structures. In: Proceedings of Advances in Structural Engineering and Mechanics (ASEM’04), Seoul, Korea, 2004

[54] Lynch J P, Wang Y, Law K H, Yi J H, Lee C G, Yun C B. Validation of a large-scale wireless structural monitoring system on the Geumdang Bridge. In: Proceedings of the International Conference on Safety and Structural Reliability (ICOSSAR), Rome, Italy, 2005

[55] Bennett R, Hayes-Gill B, Crowe J A, Armitage R, Rodgers D, Hendroff A. Wireless monitoring of highways. In: Proceedings of the Society for Photo-Instrumentation Engineers, 1999, 3671: 173-182

[56] Mitchell K, Rao V S, Pottinger H J. Lessons learned about wireless technologies for data acquisition. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2002, 4700: 331-341

[cti57] Kottapalli V A, Kiremidjian A S, Lynch J P, Carryer E, Kenny T W, Law K H, Lei Y. Two-tiered wireless sensor network architecture for structural health monitoring. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2003, 5057: 8-19

[58] Aoki S, Fujino Y, Abe M. Intelligent bridge maintenance system using MEMS and network technology. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2003, 5057: 37-42

[59] Casciati F, Faravelli L, Borghetti F, Fornasari A. Tuning the frequency band of a wireless sensor network. In: Proceedings of the 4th International Workshop on Structural Health Monitoring, Stanford, CA, 2003, 1185-1192

[60] Basheer M R, Rao V, Derriso M. Self-organizing wireless sensor networks for structural health monitoring. In: Proceedings of the 4th International Workshop on Structural Health Monitoring, Stanford, CA, 2003, 1193-1206

[61] Wang M L, Gu H, Lloyd G M, Zhao Y. A multichannel wireless PVDF displacement sensor for structural monitoring. In: Proceedings of the International Workshop on Advanced Sensors, Structural Health Monitoring and Smart Structures, Tokyo, Japan, 2003

[62] Mastroleon L, Kiremidjian A S, Carryer E, Law K H. Design of a new power-efficient wireless sensor system for structural health monitoring. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2004, 5395: 51-60

[63] Ou J, Li H, Yu J. Development and performance of wireless sensor network for structural health monitoring. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2004, 5391: 765-773

[64] Shinozuka M. Homeland security and safety. In: Proceedings of the International Conference on Structural Health Monitoring and Intelligent Infrastructure, Tokyo, Japan, 2003, 1139-1145

[65] Chung H C, Enomoto T, Shinozuka M, Chou P, Park C, Yokoi I, Morishita S. Real-time visualization of structural response with wireless MEMS sensors. In: Proceedings of the 13th World Conference on Earthquake Engineering, Vancouver, BC, Canada, 2004

[66] Binns J. Bridge sensor system delivers results quickly. Civil Engineering (New York, N.Y.), 2004, 74(9): 30-31

[67] Allen D W. Software for manipulating and embedding data interrogation algorithms into integrated systems. <DissertationTip/>, Department of Mechanical Engineering, Blacksburg, VA: Virginia Polytechnic Institute and State University, 2004

[68] Farrar C R, Allen D W, Ball S, Masquelier M P, Park G. Coupling sensing hardware with data interrogation software for structural health monitoring. In: Proceedings of the 6th International Symposium on Dynamic Problems of Mechanics (DINAME), OuroPreto, Brazil, 2005

[69] Wang Y, Lynch J P, Law K H. Wireless structural sensors using reliable communication protocols for data acquisition and interrogation. In: Proceedings of the 23rd International Modal Analysis Conference (IMAC XXIII), Orlando, FL, 2005

[70] Pei J S, Kapoor C, Graves-Abe T L, Sugeng Y, Lynch J P. Critical design parameters and operating conditions of wireless sensor units for structural health monitoring. In: Proceedings of the 23rd International Modal Analysis Conference (IMAC XXIII), Orlando, FL, 2005

[71] Rice J, Spencer B F Jr. Flexible smart sensor framework for autonomous full-scale structural health monitoring. NSEL Report Series Report No. NSEL-018, 2009

[72] Townsend C P, Hamel M J, Sonntag P, Trutor B, Arms S W. Scaleable wireless web-enabled sensor networks. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2002, 4696: 1-9

[73] Galbreath J H, Townsend C P, Mundell S W, Hamel M J, Esser B, Huston D, Arms S W. Civil structure strain monitoring with power-efficient, high-speed wireless sensor networks. In: Proceedings of the 4th International Workshop on Structural Health Monitoring, Stanford, CA, 2003, 1215-1222

[74] Arms S P, Townsend C P, Churchill D L, Hamel M J, Galbreath J H, Mundell S W. Frequency agile wireless sensor networks. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2004, 5389: 468-475

[75] Tanner N A, Farrar C R, Sohn H. Structural health monitoring using wireless sensing systems with embedded processing. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2002, 4704: 215-224

[76] Tanner N A, Wait J R, Farrar C R, Sohn H. Structural health monitoring using modular wireless sensors. Journal of Intelligent Material Systems and Structures, 2003, 14(1): 43-56

[77] Glaser S D. Some real-world applications of wireless sensor nodes. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2004, 5391: 344-355

[78] Ruiz-SandovalM , Spencer B F Jr, Kurata N. Development of a high sensitivity accelerometer for the Mica platform. In: Proceedings of the 4th International Workshop on Structural Health Monitoring, Stanford, CA, 2003, 1027-1034

[79] Kurata N, Spencer B F Jr, Ruiz-Sandoval M. Risk monitoring of buildings using wireless sensor network. In: Proceedings of the International Workshop on Advanced Sensors, Structural Health Monitoring, and Smart Structures, Tokyo, Japan, 2003

[80] Kurata N, Spencer B F Jr, Ruiz-Sandoval M, Miyamoto Y, Sako Y. A study on building risk monitoring using wireless sensor network MICA-Mote. In: Proceedings of the International Conference on Structural Health Monitoring and Intelligent Infrastructure, Tokyo, Japan, 2003, 1, 353-357

[81] Ou J P, Li H W. Wireless sensors information fusion for structural health monitoring. In: Proceedings of the Society for Photo-Instrumentation Engineers, 2003, 5099: 356-362

[82] Nagayama T, Ruiz-Sandoval M, Spencer B F Jr, Mechitov K A, Agha G. Wireless strain sensor development for civil infrastructure. In: Proceedings of the 1st International Workshop on Networked Sensing Systems, Tokyo, Japan, 2004

[83] Pakzad S N, Fenves G L. Structural health monitoring applications using MEMS sensor networks. In: Proceedings of the 4th International Workshop on Structural Control, New York, 2004, 47-56

[84] Kim S, Pakzad S, Culler D, Demmel J, Fenves G, Glaser S, Turon M. Health monitoring of civil infrastructures using wireless sensor networks. In: Proceedings of the 6th International Conference on Information Processing in Sensor Networks, 2007, 254-263

[85] Pakzad S N. Statistical Approach to Structural Monitoring Using Scalable Wireless Sensor Networks, <DissertationTip/>, Berkeley, CA: U.C. Berkeley, 2008

[86] Pakzad S N, Fenves G L, Kim S, Culler D E. Design and implementation of scalable wireless sensor network for structural monitoring. Journal of Infrastructure Systems, 2008, 14(1): 89-101

[87] Fidler P R A, Middleton C R, Hoult N A, Hill P G, Wassell I J. Wireless structural health monitoring at the Humber Bridge UK. Bridge Engineering, 2008, 161(4): 189-195

[88] Hoult N A, Fidler P R A, Hill P G, Middleton C R. Long-term wireless structural health monitoring of the Ferriby Road Bridge. Journal of Bridge Engineering, 2010, 15(2): 153-159

[89] Polastre J, Szewczyk R, Culler D. Telos: Enabling ultra-low power wireless research. In: Proceedingsof the 4th International Symposium on Information Processing in Sensor Networks, Los Angeles, CA, 2005

[90] Whelan M J, Fuchs M P, Gangone M V, Janoyan K D. Development of a wireless bridge monitoring system for condition assessment using hybrid techniques. In: Proceedings of the SPIE, San Diego, CA, 2007

[91] Whelan M J, Janoyan K D. Design of a robust, high-rate wireless sensor network for static and dynamic structural monitoring. Journal of Intelligent Material Systems and Structures, 2009, 20(7): 849-863

[92] Kling R M. Intel Mote: An enhanced sensor network node. In: Proceedings of the International Workshop on Advanced Sensors, Structural Health Monitoring and Smart Structures, Tokyo, Japan, 2003

[93] Spencer B F Jr, Ruiz-Sandoval M, Kurata N. Smart sensing technology: Opportunities and challenges. Structural Control and Health Monitoring, 2004, 11(4): 349-368

[94] Kling R, Adler R, Huang J, Hummel V, Nachman L. Intel mote-based senor networks. Structural Control and Health Monitoring, 2005, 12(3-4): 469-479

[95] Adler R, Flanigan M, Huang J, Kling R, Kushalnagar N, Nachman L, Wan C Y, Yarvis M. Intel Mote 2: An advanced platform for demanding sensor network applications. In: Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, San Diego, CA, 2005, 298-298

[96] Linderman L E, Rice J A, Barot S, Spencer B F Jr, Bernhard J T. Characterization of wireless smart sensor performance. Journal of Engineering Mechanics, 2010, 136(12): 1435-1443

[97] Rice, J.A. Smart sensors for structural health monitoring. Presentation at University of North Texas, October, 2011

[98] Rice J A, Valdovinos S, DeFino M, Spencer B F Jr. Rapid bridge assessment enabled by wireless smart sensors. In: Proceeding of 5th World Conference on Structural Control and Monitoring, Tokyo, Japan, 2010

[99] Jang S, Jo H, Cho S, Mechitov K, Rice J A, Sim S H, Jung H J, Yun C B, Spencer B F Jr, Agha G. Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation. Smart Structures and Systems, 2010, 6(5-6): 439-459

[100] Kavaya M J, Amzajerdian F. LiDaR Remote Sensing System. United States Patent. <patent>Patent No: 6,147,747</patent>. <month>Nov.</month><day>14</day>, 2000

[101] Rudd M J. Laser Vibrometer. United States Patent. <patent>Patent No: 4,554,836</patent>. <month>Nov.</month><day>26</day>, 1985

[102] Zhang X, Bakis N, Lukins C T, Ibrahim M Y, Wu S, Kagioglou M, Aouad G, Kaka P A, Trucco E. Automating progress measurement of construction projects. Automation in Construction, 2009, 18(3): 294-301

[103] Pollyea R M, Fairley J P. Estimating surface roughness of terrestrial laser scan data using orthogonal distance regression. Geology, 2011, 39(7): 623-626

[104] Olsen M J, Donahue J. A wave of new information: LiDARinvestigations of the 2009 Samoan tsunami. Solutions to Coastal Disasters 2011, ASCE proceedings of the 2011 Solutions to Coastal Disasters Conference, 2011, 321-330

[105] Fuchs P A, Washer G A, Chase S B, Moore M. Applications of laser-based instrumentation for highway bridges. Journal of Bridge Engineering, 2004, 9(6): 541-549

[106] Fuchs P A, Washer G A, Chase S B, Moore M. Laser-based instrumentation for bridge load testing. Journal of Performance of Constructed Facilities, 2004, 18(4): 213-219

[107] Teza G, Galgaro A, Moro F. Contactless recognition of concrete surface damage from laser scanning and curvature computation. NDT & E International, 2009, 42(4): 240-249

[108] Chen S, Hauser E, Dai K, Liu W, Ribarsky B, Lee S, Tolone B, Boyle C. Enhanced bridge management via integrated remote sensing. In: Proceedings of the 5th International Conference on Bridge Maintenance, Safety & Management. Philadelphia, PA, 2010

[109] Dai K, Watson C, Liu W, Chen S, Hauser E. Validation of bridge girder deflection measurement using LiDAR scan. NDE/NDT for Highways and Bridges: Structural Materials Technology (SMT) ConferenceNew York: American Society for Nondestructive Testing (ASNT), 2010

[110] Liu W. Terrestrial LiDAR-Based Evaluation.<DissertationTip/>, Department of Civil and Environmental Engineering, University of North Carolina, Charlotte, Charlotte, NC, US, 2010

[111] Dai K, Chen S, Scott J, Schmieder J, Liu W. Development of the baseline model for a steel girder bridge using remote sensing and load tests. The SPIE Symposium on Smart Structures and Materials Nondestructive Evaluation and Health Monitoring, Proceedings of the SPIE 7983, 79831K, H. F. Wu (Ed), San Diego, CA, 2011

[112] Dai K, Tong Y, Bian H, Watson C, Chen S. Study of a skewed HPS bridge and a culvert bridge using LiDARscan. Geotechnical Special Publication No. 219, GeoHunan International Conference II, Hunan, China, 2011

[113] Steinlechner S, Drabarek P, Van Keulen M V. Laser Vibrometer for Vibration Measurements. United States Patent. <patent>Patent No. 5,883,715</patent>. <month>Mar.</month><day>16</day>, 1999

[114] Castellini P, Paone N. Development of the tracking laser vibrometer: Performance and uncertainty analysis. Review of Scientific Instruments, 2000, 71(12): 4639-4647

[115] Johansmann M, Siegmund G, Pineda M. Targeting the limits of Laser Doppler Vibrometry. International Disk Drive Equipment and Materials Association (IDEMA) Conference, Japan, 2005

[116] Castellini P, Martarelli M, Tomasini E P. Laser Doppler Vibrometry: Development of advanced solutions answering to technology’s needs. Mechanical Systems and Signal Processing, 2006, 20(6): 1265-1285

[117] Ghoshal A, Sundaresan M J, Schulz M J, Pai P F. Structural health monitoring techniques for wind turbine blades. Journal of Wind Engineering and Industrial Aerodynamics, 2000, 85(3): 309-324

[118] Martarelli M, Revel G M, Santolini C. Automated modal analysis by scanning laser vibrometry: Problems and uncertainties associated with the scanning system calibration. Mechanical Systems and Signal Processing, 2001, 15(3): 581-601

[119] Siringoringo D M, Fujino Y. Experimental study of Laser Doppler Vibrometer and ambient vibration forvibration-based damage detection. Engineering Structures, 2006, 28(13): 1803-1815

[120] Lee J J, Shinozuka M. A vision-based system for remote sensing of bridge displacement. NDT & E International, 2006, 39(5): 425-431

[121] Sohn H, Dutta D, Yang J Y, DeSimio M, Olson S, Swenson E. Automated detection of delamination and disbond from wavefield images obtained using a scanning laser vibrometer. Smart Materials and Structures, 2011, 20(4): 1-10

[122] Nassif H N, Gindy M, Davis J. Comparison of Laser Doppler Vibrometer with contact sensors for monitoring bridge deflection and vibration. NDT & E International, 2005, 38(3): 213-218

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