Technical Papers
Sep 10, 2012

Relative Displacement Sensing Techniques for Postevent Structural Damage Assessment: Review

Publication: Journal of Structural Engineering
Volume 139, Issue 9

Abstract

Relative displacement, which is displacement of a point on a structure with respect to its original location or an adjacent point on the structure that has also undergone movement, can be an effective indicator of postevent structural damage. Although quantifying relative deformations for postevent damage quantification is currently technically feasible, and of great potential benefit, the field remains undeveloped because of lack of knowledge among structural engineers of (1) the enabling technologies and (2) the performance limits of these technologies. The primary objectives of this paper are to review available techniques for measuring relative deformations, identify their limitations, and propose areas where further research is needed. Current methodologies are divided into remote and in situ methods. The latter techniques are deemed most practically feasible and are surveyed in detail and critiqued. Suggestions for current challenges and research opportunities are proposed with emphasis on accuracy considerations, the need for creating a national database of structure information, and methods for large-scale automated assessment.

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Acknowledgments

The presented work was partially supported by National Science Foundation (NSF) Grant No. CMMI-0726493. The authors gratefully acknowledge NSF's support. Any opinions, findings, conclusions, and recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the NSF.

References

Alashker, Y., Li, H., and El-Tawil, S. (2011). “Approximations in progressive collapse modeling.” J. Struct. Eng., 137(9), 914–924.
Alba, M., Fregonese, L., Prandi, F., Scaioni, M., and Valgoi, P. (2006). “Structural monitoring of a large dam by terrestrial laser scanning.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B1), 133–139.
Anil, E. B., Tang, P., Akinci, B., and Huber, D. (2011). “Assessment of quality of as-is building information models generated from point clouds using deviation analysis.” Proc. SPIE, Vol. 7864A.
Bao, Y., Kunnath, S. K., El-Tawil, S., and Lew, H. S. (2008). “Macromodel-based simulation of progressive collapse: RC frame structures.” J. Struct. Eng., 134(7), 1079–1091.
Bennett, K. D., and Batroney, C. B. (1997). “Interstory drift monitoring in smart buildings using laser crosshair projection.” Opt. Eng., 36(7), 1889–1892.
Bennett, K. D., Hoover, C. W., III, Chen, R. Z., and Plone, M. D. (1994). “Gaussian beam displacement sensor for monitoring interstory drift in smart buildings.” Proc. SPIE, 2191, 426–435.
Bhardwaj, M., Garnett, T., and Chandrakasan, A. (2001). “Upper bounds on the lifetime of sensor networks.” Proc., IEEE Int. Conf. on Comm, Vol. 3, IEEE, New York, 785–90.
Breuer, P., Chmielew, T., Górski, P., and Konopka, E. (2002). “Application of GPS technology to measurements of displacements of high-rise structures due to weak winds.” J. Wind Eng. Ind. Aerodyn., 90(3), 223–230.
Brewer, E., et al. (1998). “A network architecture for heterogeneous mobile computing.” IEEE Personal Comm. Mag., 5(5), 8–24.
Carlotto, M. J. (1997). “Detection and analysis of change in remotely sensed imagery with application to wide area surveillance.” IEEE Trans. Image Process., 6(1), 189–202.
Çelebi, M., Gulkan, P., and Anderson, J. (2004). “Structural monitoring arrays: Past, present and future.” Direction in strong motion instrumentation, P. Gulkanand J. Anderson, eds., Kluwer Academic Publishers, Dordrecht, Netherlands, 157–179.
Çelebi, M., and Sanli, A. (2002). “GPS in pioneering dynamic monitoring of long-period structures.” Earthq. Spectra, 18(1), 47–61.
Center for Robot-Assisted Search and Rescue (CRASAR). (2006). “Documenting damage to multi-story commercial structures along the Gulf Coast using rotary-wing vehicle.” 〈http://crasar.csee.usf.edu/Research/Projects/Katrina_SGER/ index.php〉 (Sep. 20, 2006).
Chan, W. S., Xu, Y. L., Ding, X. L., and Dai, W. J. (2005a). “Calibration of GPS for dynamic displacement measurement of long span cable-support bridges in vertical direction.” Proc. SPIE, 5770, 168.
Chan, W. S., Xu, Y. L., Ding, X. L., and Dai, W. J. (2006a). “An integrated GPS-accelerometer data processing technique for structural deformation monitoring.” J. Geod., 80(12), 705–719.
Chan, W. S., Xu, Y. L., Ding, X. L., Xiong, Y. L., and Dai, W. J. (2005b). “Dynamic displacement measurement accuracy of GPS for monitoring large civil engineering structures.” Proc. SPIE, 5765(1), 54–65.
Chan, W. S., Xu, Y. L., Ding, X. L., Xiong, Y. L., and Dai, W. J. (2006b). “Assessment of dynamic measurement accuracy of GPS in three directions.” J. Surv. Eng., 132(3), 108–117.
Chang, C. C. (2007). “From photogrammetry, computer vision to structural response measurement.” 14th Int. Symp., Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, SPIE, Bellingham, WA.
Chang, C. C., and Ji, Y. F. (2007). “Flexible videogrammetric technique for three-dimensional structural vibration measurement.” J. Eng. Mech., 133(6), 656–664.
Chen, W. M., Bennett, K. D., Feng, J., Wang, Y. P., and Huang, S. L. (1998). “Laser technique for measuring three dimensional interstory drift.” Photonics China '98, SPIE, Bellingham, WA, 305–310.
Dai, F., Dong, S., Kamat, V. R., and Lu, M. (2011). “Photogrammetry assisted measurement of interstory drift for rapid post-disaster building damage reconnaissance.” J. Nondestructive Evaluation, 30(3), 201–212.
Dodson, A. H., Meng, X., and Roberts, G. (2001). “Adaptive method for multipath mitigation and its application for structural deflection monitoring.” Int. Symp. on Kinematic Systems in Geodesy, Geomatics and Navigation, Dept. of Geomatics Engineering, Univ. of Calgary, Calgary, Alberta, Canada, 101–110.
Dong, S., Feng, C., and Kamat, V. R. (2012). “Sensitivity analysis of augmented reality-assisted building damage reconnaissance using virtual prototyping.” UMCEE Rep. No. 12-01, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI.
Duff, K., Hyzak, M., and Tucker, D. (1998). “Real-time deformation monitoring with GPS: Capabilities and limitations.” 5th Annual Int. Symp. on Smart Structures and Materials, SPIE, Bellingham, WA, 387–395.
Eguchi, R. T., et al. (2000). “Using advanced technologies to conduct earthquake reconnaissance after the 1999 Marmara earthquake.” Proc., 2nd Workshop on Advanced Technologies in Urban Earthquake Disaster Mitigation, Disaster Prevention Research Institute, Kyoto, Japan.
FEMA. (1997). “NEHRP guidelines for the seismic rehabilitation of buildings.: FEMA 273, Applied Technology Council, Redwood City, CA.
FEMA. (2000a). “Prestandard and commentary for the seismic rehabilitation of buildings.” FEMA 356, Building Seismic Safety Council, Washington, DC.
FEMA. (2000b). “Recommended seismic design criteria for new steel moment-frame buildings.” FEMA 350, Building Seismic Safety Council, Washington, DC.
FEMA. (2000c). “State of the art report on connection performance.” FEMA 355D, SAC Joint Venture for the FEMA, Washington, DC.
Fily, M., and Rothrock, D. A. (1987). “Sea ice tracking by nested correlations.” IEEE Trans. Geosci. Rem. Sens., 25(5), 570–580.
Fraser, C. S., and Riedel, B. (2000). “Monitoring the thermal deformation of steel beams via vision metrology.” ISPRS J. Photogramm. Remote Sens., 55(4), 268–276.
Fu, G., and Moosa, A. G. (2002). “An optical approach to structural displacement measurement and its application.” J. Eng. Mech., 128(5), 511–520.
Fukuda, Y., Feng, M., Narita, Y., Kaneko, S., and Tanaka, T. (2010a). “Vision-based displacement sensor for monitoring dynamic response using robust object search algorithm.” Proc. IEEE Sens., IEEE, New York, 1928–1931.
Fukuda, Y., Feng, M. Q., and Shinozuka, M. (2010b). “Cost-effective vision-based system for monitoring dynamic response of civil engineering structures.” Struct. Contr. Health Monit., 17(8), 918–936.
González-Peña, R., et al. (2005). “Displacements measurement in a building model using the speckle photography technique.” Eng. Struct., 27(13), 1859–1864.
Hall, M. (2004). “9/11 rescue teams knew little.” USA Today, 〈http://yahoo.usatoday.com/news/washington/2004-05-18-sept11-commission_x.htm?csp=1〉 (May 19, 2004).
Heinzelman, W., Chandrakasan, A., and Balakrishnan, A. (2000) “Energy-efficient routing protocols for wireless microsensor networks.” Proc., 33rd Annual Hawaii Int. Conf. on System Sciences, IEEE, New York.
Hudnut, K. W., and Behr, J. A. (1998). “Continuous GPS monitoring of structural deformation at Pacoima Dam, California.” Seismol. Res. Lett., 69(4), 299–308.
Hutchinson, T. C., and Kuester, F. (2004). “Monitoring global earthquake-induced demands using vision-based sensors.” IEEE Trans. Instrum. Meas., 53(1), 31–36.
Jáuregui, D. V., White, K. R., and Woodward, C. B. (2003). “Noncontact photogrammetric measurement of vertical bridge deflection.” J. Bridge Eng., 8(4), 212–222.
Ji, Y. (2010). “A computer vision-based approach for structural displacement measurement.” Proc. SPIE, Vol. 7647, 76473H.
Kamat, V. R., and El-Tawil, S. (2007). “Evaluation of augmented reality for rapid assessment of earthquake-induced building damage.” J. Comput. Civ. Eng., 21(5), 303–310.
Kanekawa, K., et al. (2010). “An experimental study on relative displacement sensing using phototransistor array for building structures.” IEEJ Trans. Electric Electronic Eng., 5(2), 251–255.
Khan, J., Katz, R., and Pister, K. (1999). “Next century challenges: Mobile networking for smart dust.” Proc., 5th Annual ACM/IEEE Int. Conf. on Mobile Computing and Networking, Association for Computing Machinery, New York, 271–278.
Khandelwal, K., El-Tawil, S., Kunnath, S. K., and Lew, H. S. (2008). “Macromodel-based simulation of progressive collapse: Steel frame structures.” J. Struct. Eng., 134(7), 1070–1078.
Khandelwal, K., El-Tawil, S., and Sadek, F. (2009). “Progressive collapse analysis of seismically designed steel braced frames.” J. Construct. Steel Res., 65(3), 699–708.
Kijewski-Correa, T., et al. (2006a). “Validating wind-induced response of tall buildings: Synopsis of the Chicago full-scale monitoring program.” J. Struct. Eng., 132(10), 1509–1523.
Kijewski-Correa, T., Kareem, A., and Kochly, M. (2006b). “Experimental verification and full-scale deployment of global positioning systems to monitor the dynamic response of tall buildings.” J. Struct. Eng., 132(8), 1242–1253.
Kim, S., et al. (2007). “Health monitoring of civil infrastructures using wireless sensor networks.” Proc., 6th Int. Symp. on Information Processing in Sensor Networks, Association for Computing Machinery, New York, 254–263.
Knecht, A., and Manetti, L. (2001). “Using GPS in structural health monitoring.” 8th Annual Int. Symp. on Smart Structures and Materials, SPIE, Bellingham, WA, 4328, 122–129.
Ko, J. M., and Ni, Y. Q. (2005). “Technology developments in structural health monitoring of large-scale bridges.” Eng. Struct., 27(12), 1715–1725.
Kochly, M., and Kijewski-Correa, T. (2006). “Experimental verification of a GPS network: Characterization and removal of multipath effects.” Smart Structures and Materials, Vol. 6174, SPIE, Bellingham, WA, 1–9.
Koushanfar, F., Prabhu, V., Potkonjak, M., and Rabaey, R. (2000). “Processors for mobile applications.” Proc., Int. Conf. on Computer Design, IEEE, New York, 603–608.
Kunnath, S. K., Nghiem, Q., and El-Tawil, S. (2004). “Modeling and response prediction in performance-based seismic evaluation: Case studies of instrumented steel moment-frame buildings.” Earthq. Spectra, 20(3), 883–915.
Kutterer, H., and Hesse, C. (2006). “High speed laser scanning for near real-time monitoring of structural deformations.” Dynamic planet-monitoring and understanding a dynamic planet with geodetic and oceanographic tools, Springer, New York, 776–781.
Lauzon, R., and Dewolf, J. (2006). “Ambient vibration monitoring of a highway bridge undergoing a destructive test.” J. Bridge Eng., 11(5), 602–610.
Lee, J. J., Fukuda, Y., Shinozuka, M., Cho, S., and Yun, C. B. (2007). “Development and application of a vision-based displacement measurement system for structural health monitoring of civil structures.” Smart Struct. Syst., 3(3), 373–384.
Lee, J. J., and Shinozuka, M. (2006). “Real-time displacement measurement of a flexible bridge using digital image processing techniques.” Exp. Mech., 46(1), 105–114.
Li, E., and Yao, J. (2005). “Laser-based displacement measurement of a remote object.” Advanced Laser Technologies 2005, SPIE, Bellingham, WA, 6344.
Li, X., Rizos, C., Ge, L., Tamura, Y., and Yoshida, A. (2005). “The complementary characteristics of GPS and accelerometer in monitoring structural deformation.” Proc., Institute of Navigation, National Technical Meeting, Institute of Navigation, Manassas, VA, 911–920.
Lin, C., and Nevatia, R. (1995). “3D descriptions of buildings from an oblique view aerial image.” IEEE Int. Symp. of Computer Vision, IEEE, New York, 337–382.
Loves, J. W., Teskey, W. F., Lachapelle, G., and Cannon, M. E. (1995). “Dynamic deformation monitoring of tall structure using GPS technology.” J. Surv. Eng., 121(1), 35–40.
Lynch, J. P., and Loh, K. J. (2006). “A summary review of wireless sensors and sensor network for structural health monitoring.” Shock Vibration Dig., 38(2), 91–128.
Matsuya, I., et al. (2011a). “Development of lateral displacement sensor for real-time detection of structural damage.” IEEJ Trans. Electrical Electronic Eng., 6(3), 266–272.
Matsuya, I., et al. (2011b). “Relative-story displacement sensor for measuring five-degree movement of building layers.” Proc. SPIE, Vol. 7981.
McGlone, J., and Shufelt, J. (1994). “Projective and object space geometry for monocular building extraction.” IEEE Proc. of Computer Vision and Pattern Recognition, IEEE, New York, 56–61.
Meng, X., Roberts, G. W., Dodson, A. H., Barnes, J., and Rizos, C. (2004). “Impact of GPS satellite and pseudolite geometry on structural deformation monitoring: Analytical and empirical studies.” J. Geod., 77(12), 809–822.
Min, R., et al. (2000). “An architecture for a power-aware distributed microsensor node.” IEEE Workshop on Signal Processing Systems, IEEE, New York, 581–590.
Myung, H., Lee, S., and Lee, B. (2011). “Paired structured light for structural health monitoring robot system.” Struct. Health Monit., 10(1), 49–64.
Nakamura, S. I. (2000). “GPS measurement of wind-induced suspension bridge girder displacement.” J. Struct. Eng., 126(12), 1413–1419.
Nascent Technology Corporation. (2005). “XS-series autonomous helicopter overview.” 〈http://www.nascent-tech.com/presentations.htm〉 (Sep. 20, 2006).
Nickitopoulou, A., Protopsalti, K., and Stiros, S. (2006). “Monitoring dynamic and quasi-static deformations of large flexible engineering structures with GPS: Accuracy, limitations and promises.” Eng. Struct., 28(10), 1473–1482.
Noronha, S., and Nevatia, R. (1996). “Detection and description of buildings from multiple aerial images.” Proc., DARPA Image Understanding Workshop, 469–478.
Park, H. S., Lee, H. M., Adeli, H., and Lee, I. (2007). “A new approach for health monitoring of structures: Terrestrial laser scanning.” Comput. Aided Civ. Infrastruct. Eng., 22(1), 19–30.
Park, J. W., Lee, J. J., Jung, H. J., and Myung, H. (2010). “Vision-based displacement measurement method for high-rise building structures using partitioning approach.” NDT Int., 43(7), 642–647.
Pugh, A. J., Maunder, E. A. W., and Belmont, M. R. (1993). “An optical displacement monitor.” Measurement, 12(2), 159–170.
Radovanovic, R. (2000). “High-accuracy deformation monitoring via multipath mitigation by day-to-day correlation analysis.” Proc., 13th Int. Technical Meeting of SAT Division of the ION, Institute of Navigation, Manassas, VA.
Rathje, E. M., and Crawford, M. M. (2003). “Earthquake damage identification using high-resolution satellite images from the 2003 Northern Algeria Earthquake.” Workshop on Application of Remote Sensing for Disaster Response, Univ. of Texas, Austin, TX.
Roberts, G. W., Meng, X., and Dodson, A. H. (2002a). “Using adaptive filtering to detect multipath and cycle slips in GPS/accelerometer bridge deflection monitoring data,” Fig XXII Int. Congress, Washington, DC.
Roberts, G. W., Meng, X., and Dodson, A. H. (2004). “Integrating a global positioning system and accelerometers to monitor the deflection of bridges.” J. Surv. Eng., 130(2), 65–72.
Roberts, G. W., Meng, X., Dodson, A. H., and Cosser, E. (2002b). “Multipath mitigation for bridge deformation monitoring.” J. Global Position. Syst., 1(1), 25–33.
Sabharwal, A. (2002). “On capacity of relay-assisted communication.” Global Telecommunications Conf., Vol. 2, IEEE, New York, 1244–1248.
Schäfer, T., Weber, T., Kyrinovič, P., and Zámečniková, M. (2004). “Deformation measurement using terrestrial scanning at the hydropower station of Gabčíkovo.” INGEO 2004 and FIG Regional Central and Eastern European Conf. on Engineering Surveying, Dept. of Surveying, Slovak Univ. of Technology, Bratislava, Slovakia.
Shinozuka, M., and Rejaie, A. (2001). “Damage assessment from remotely sensed images using PCA.” Proc., SPIE 8th Annual Int. Symp. on Smart Structures and Materials, SPIE, Bellingham, WA.
Singh, A. (1989). “Review article: Digital change detection techniques using remotely sensed data.” Int. J. Remote Sens., 10(6), 989–1003.
Skolnik, D. A., and Wallace, J. W. (2010). “Critical assessment of interstory drift measurement.” J. Struct. Eng., 136(12), 1574–1584.
Subramanian, L., and Katz, R. (2000). “An architecture for building self-configurable systems.” Proc., 1st Annual Workshop on Mobile and Ad Hoc Networking and Comp, IEEE, New York, 63–78.
Tamura, Y., Matsui, M., Pagnini, L. C., Ishibashi, R., and Yoshida, A. (2002). “Measurement of wind-induced response of building using RTK-GPS.” J. Wind Eng. Ind. Aerodyn., 90(12–15), 1783–1793.
Unified Facilities Criteria (UFC). (2009). “Design of buildings to resist progressive collapse.” UFC 4-023-03, Department of Defense, Washington, DC.
von Gioi, R., Jakubowicz, J., Morel, J.-M., and Randall, G. (2010). “LSD: A fast line segment detector.” IEEE Trans. Pattern Anal. Mach. Intell., 32(4), 722–732.
Wahbeh, A. M., Caffrey, J. P., and Masri, S. F. (2003). “A vision-based approach for the direct measurement of displacement in vibrating systems.” Smart Mater. Struct., 12(5), 785–794.
Wang, G. Q., Boore, D. M., Igel, H., and Zhou, X. Y. (2003). “Some observations on collocated and closely spaced strong ground-motion records of the 1999 Chi-Chi, Taiwan, Earthquake.” Bull. Seismol. Soc. Am., 93(2), 674–693.
Yi, T., Li, H., and Gu, M. (2010). “Full-scale measurements of dynamic response of suspension bridge subjected to environmental loads using GPS technology.” Sci. China Ser. E: Technol. Sci., 53(2), 469–479.

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Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 139Issue 9September 2013
Pages: 1421 - 1434

History

Received: Apr 12, 2012
Accepted: Sep 6, 2012
Published online: Sep 10, 2012
Published in print: Sep 1, 2013

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Honghao Li, A.M.ASCE [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109. E-mail: [email protected]
Suyang Dong [email protected]
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109. E-mail: [email protected]
Sherif El-Tawil, F.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109 (corresponding author). E-mail: [email protected]
Vineet R. Kamat, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Michigan, Ann Arbor, MI 48109. E-mail: [email protected]

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