Abstract
Building interstory drift (ID), which is a measure of the relative displacement between two successive floors in a vibrating building, is a key response parameter utilized in both seismic design and post-earthquake damage assessments. To this point in time, there has been no accepted methodology or sensor technology for reliable and accurate direct measurements of building drift. Indirect measurement of drift, through signal processing and double integration of accelerometer data, is fraught with challenges, particularly when inelasticity-induced permanent drifts occur. In this paper, recent developments toward a new optically-based technique for measurement of both transient interstory drift (TID(t)) and residual interstory drift (RID) are described. The ability of a newly designed laser-based optical sensor system to directly measure interstory drift is demonstrated through experimental and model-based evaluations. This sensor technology has progressed to the point where practical application is feasible as an enabling S2HM technology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
American Society of Civil Engineers (ASCE) (2005) Seismic design criteria for structures, systems, and components in nuclear facilities. ASCE/SEI 43-05, Reston, VA
Bommer JJ, Magenes G, Hancock J, Penazzo P (2004) The influence of strong-motion duration on the seismic response of masonry structures. Bull Earthq Eng 2(1):1–26
Celebi M, Sanli A, Sinclair M, Gallant S, Radulescu D (2004) Real-time seismic monitoring needs of a building owner—and the solution: a cooperative effort. Earthq Spectra 20(2):333–346
Celebi M (2008) Real-time monitoring of drift for occupancy resumption. In: 14th world conference on earthquake engineering, Beijing China
Chen X (1995) Near-field ground motion from the landers earthquake. Report No. EERL 95-02, California Institute of Technology, Earthquake Engineering Research Laboratory, Pasadena, California, USA
Chen WM, Bennett KD, Feng J, Wang YP, Huang SL (1998) Laser technique for measuring three dimensional interstory drift. In: Proceedings of the society for photonics and optics, vol 3555, pp 305–310
Dai F, Dong S, Kamat VR, Lu M (2011) Photogrammetry assisted measurement of interstory drift for rapid post-disaster building damage reconnaissance. J Nondestruct Eval 30:201
Dai F, Lu M (2010) Assessing the accuracy of applying photogrammetry to take geometric measurements on building products. J Constr Eng Manage 136(2):242–250
Doebling SW, Farrar CR, Prime MB, Shevitz DW (1996) Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review. Los Alamos National Laboratory, Los Alamos, NM
Hancock J, Bommer JJ (2006) A state-of-knowledge review of the influence of strong-motion duration on structural damage. Earthq Spectra 22(3):827–845
Hou S, Zeng CS, Zhang HB, Ou JP (2018) Monitoring interstory drift in buildings under seismic loading using MEMS inclinometers. Constr Build Mater 185:453–467
Hsu TY, Yin RC, Wu YM (2018) Evaluating post-earthquake building safety using economical MEMS seismometers. Sensors 18(5)
Lynch JP, Partridge A, Law KH, Kenny TW, Kiremidjian AS, Carryer E (2003) Design of piezoresistive MEMS-based accelerometer for integration with wireless sensing unit for structural monitoring. J Aerosp Eng 16(3):108–114
McCallen D, Larsen S (2003) NEVADA—a simulation environment for regional estimation of ground motion and structural response. Report UCRL-ID-152115, Lawrence Livermore National Laboratory
McCallen D, Petrone F, Coates J, Repanich N (2017) A laser-based optical sensor for broad-band measurements of building earthquake drift. Earthq Spectra 33(4):1573–1598
OpenSees v 2.5.0 [Computer software]. Berkeley, CA, Pacific Earthquake Engineering Research Center, University of California
Pacific Earthquake Engineering Research Center Ground Motion Database (PEER). https://ngawest2.berkeley.edu/
Pakzad SN, Fenves GL, Kim S, Culler DE (2008) Design and implementation of scalable wireless sensor network for structural monitoring. J Infrastruct Syst 14(1):89–101
Petrone F, McCallen D, Buckle I, Wu S (2018) Direct measurement of building transient and residual drift using an optical sensor system. Eng Struct 176:115–126
Sabato A, Niezrecki C, Fortino G (2017) Wireless MEMS-based accelerometer sensor boards for structural vibration monitoring: a review. IEEE Sens J 17(2):226–235
Skolnik DA, Kaiser WJ, Wallace JW (2008) Instrumentation for structural health monitoring: measuring interstory drift. In: Proceedings of the 14th world conference on earthquake engineering, 12–17 Oct, Beijing China
Skolnik DA, Wallace JW (2010) Critical assessment of interstory drift measurements. J Struct Eng 136:1574–1584
Trifunac MD, Ivanovic SS, Todorovska MI (2001) Apparent periods of a building II: time-frequency analysis. J Struct Eng 127:527–537
Trifunac MD, Todorovska MI (2001) A note on the usable dynamic range of accelerographs recording translation. J Soil Dyn Earthq Eng 21:275–286
Yun F, Yong Z, Weimin C, Rong S, Shanglian H, Bennett KD (1999) Five dimensional interstory drift measurement with cross hair laser. Acta Photonica Sinica 28:1006–1009
Acknowledgements
The work presented in this paper was supported in part by the U.S. Department of Energy (DOE) Office of Nuclear Safety. This support and the encouragement of Dr. Alan Levin of the Office of Nuclear Safety Research Program is greatly appreciated. The DDPS GEN1 and GEN2 sensors were fabricated at California State University Chico by engineers Jason Coates and Nicholas Repanich. The contributions of Professor Ian Buckle and Dr. Suiwen Wu in designing and conducting the University of Nevada shake table experiments are gratefully acknowledged.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
McCallen, D.B., Petrone, F. (2019). An Optical Technique for Measuring Transient and Residual Interstory Drift as Seismic Structural Health Monitoring (S2HM) Observables. In: Limongelli, M., Çelebi, M. (eds) Seismic Structural Health Monitoring. Springer Tracts in Civil Engineering . Springer, Cham. https://doi.org/10.1007/978-3-030-13976-6_11
Download citation
DOI: https://doi.org/10.1007/978-3-030-13976-6_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-13975-9
Online ISBN: 978-3-030-13976-6
eBook Packages: EngineeringEngineering (R0)