Technical Papers
Sep 26, 2018

Condition Assessment of Civil Structures under Earthquake Excitation

Publication: Journal of Aerospace Engineering
Volume 32, Issue 1

Abstract

This paper presents a nondestructive rapid condition or health assessment procedure of three-dimensional civil structures following strong earthquakes. It is a nonlinear time domain system identification procedure and structures are represented by finite elements. The excitation time history may not be available soon after an earthquake and is not required to implement the procedure. The response time histories measured at a small part of a large structure, denoted as a substructure, can be noise-contaminated. The location and severity of defects in an element are evaluated by comparing its stiffness parameter with the previous value or deviation from the other similar members. The basic unscented Kalman filter concept available in the literature is significantly improved, increasing its implementation potential. The improved concept is developed by integrating the iterative least-squares, weighted global iteration, and objective function algorithms. The proposed concept is verified by assessing the health of large three-dimensional structures excited by earthquake time histories. The procedure is capable of identifying defects with different levels of severity in small or large civil structures. This study also indicates that the inspection outcomes are not sensitive to the location and configuration of the substructure. The capability and efficiency of the procedure are demonstrated with three informative examples.

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Acknowledgments

This study is based on work partly supported by University of Basrah, Iraq and is partially supported by the National Science Foundation under Grant No. CMMI-1403844. Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the sponsors.

References

Al-Hussein, A. 2015. “A novel technique for structural health assessment in the presence of nonlinearity.” Ph.D. dissertation, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona.
Al-Hussein, A., and A. Haldar. 2017. “Structural damage prognosis of three-dimensional large structural systems.” Struct. Infrastruct. Eng. 13 (12): 1596–1608. https://doi.org/10.1080/15732479.2017.1304430.
Astroza, R., H. Ebrahimian, and J. P. Conte. 2014. “Material parameter identification in distributed plasticity FE models of frame-type structures using nonlinear stochastic filtering.” J. Eng. Mech. 141 (2): 04014149. https://doi.org/10.1061/(ASCE)EM.1943-7889.0000851.
Azam, S. E., E. Chatzi, C. Papadimitriou, and A. W. Smyth. 2017. “Experimental validation of Kalman-type filters for online and real-time state and input estimation.” J. Vib. Control 23 (15): 2494–2519. https://doi.org/10.1177/1077546315617672.
Azam, S. E., V. Dertimanis, E. Chatzi, and C. Papadimitriou. 2015. “Output only schemes for input-state-parameter estimation of linear systems.” In Proc., UNCECOMP 2015. 497–510. Athina, Greece: National Technical University of Athens.
Bernal, D. 2013. “Kalman filter damage detection in the presence of changing process and measurement noise.” Mech. Syst. Sig. Process. 39 (1–2): 361–371. https://doi.org/10.1016/j.ymssp.2013.02.012.
Chang, P. C., A. Flatau, and S. C. Liu. 2003. “Review paper: Health monitoring of civil infrastructure.” Struct. Health Monit. 2 (3): 257–267. https://doi.org/10.1177/1475921703036169.
Chatzi, E. N., and A. W. Smyth. 2009. “The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing.” Struct. Control Health Monit. 16 (1): 99–123. https://doi.org/10.1002/stc.290.
Chatzi, E. N., A. W. Smyth, and S. F. Masri. 2010. “Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty.” Struct. Saf. 32 (5): 326–337. https://doi.org/10.1016/j.strusafe.2010.03.008.
Ching, J., J. L. Beck, and K. A. Porter. 2006a. “Bayesian state and parameter estimation of uncertain dynamical systems.” Probab. Eng. Mech. 21 (1): 81–96. https://doi.org/10.1016/j.probengmech.2005.08.003.
Ching, J., and J. L. Beck. 2007. “Real-time reliability estimation for serviceability limit states in structures with uncertain dynamic excitation and incomplete output data.” Probab. Eng. Mech. 22 (1): 50–62. https://doi.org/10.1016/j.probengmech.2006.05.006.
Ching, J., J. L. Beck, K. A. Porter, and R. Shaikhutdinov. 2006b. “Bayesian state estimation method for nonlinear systems and its application to recorded seismic response.” J. Eng. Mech. 132 (4): 396–410. https://doi.org/10.1061/(ASCE)0733-9399(2006)132:4(396).
Clough, R. W., and J. Penzien. 2003. Dynamics of structures. 3rd ed. Berkeley, CA: Computers and Structures.
Das, A. K., and A. Haldar. 2010. “Structural integrity assessment under uncertainty for three dimensional offshore structures.” Int. J. Terrasp. Sci. Eng. 2 (2): 101–111.
Das, A. K., and A. Haldar. 2012. “Health assessment of three dimensional large structural systems: A novel approach.” Life Cycle Reliab. Saf. Eng. 1 (1): 1–14.
Das, A. K., and A. Haldar. 2013. “A novel health assessment method for large three dimensional structures.” In Health assessment of engineered structures: Bridges, buildings and other infrastructures, 149–178. Singapore: World Scientific.
Dertimanis, V., E. Chatzi, S. E. Azam, and C. Papadimitriou. 2016. “Output-only fatigue prediction of uncertain steel structures.” In Vol. 2 of Proc., 8th European Workshop on Structural Health Monitoring (EWSHM 2016). 869–879. Red Hook, NY: Curran Associates Inc.
Doebling, S. W., C. R. Farrar, and M. B. Prime. 1998. “A summary review of vibration-based damage identification methods.” Shock Vib. Digest 30 (2): 91–105. https://doi.org/10.1177/058310249803000201.
Elnashai, A. S., and L. D. Sarno. 2008. Fundamentals of earthquake engineering. Chichester, UK: Wiley.
Erazo, K., and E. M. Hernandez. 2014. “A model-based observer for state and stress estimation in structural and mechanical systems: Experimental validation.” Mech. Syst. Sig. Process. 43 (1–2): 141–152. https://doi.org/10.1016/j.ymssp.2013.10.011.
Evensen, G. 1994. “Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics.” J. Geophys. Res. 99 (C5): 10143–10162. https://doi.org/10.1029/94JC00572.
Evensen, G. 2003. “The ensemble Kalman filter: Theoretical formulation and practical implementation.” Ocean Dyn. 53 (4): 343–367. https://doi.org/10.1007/s10236-003-0036-9.
Fallais, D. J. M., S. Voormeeren, and E. Lourens. 2016. “Vibration-based identification of hydrodynamic loads and system parameters for offshore wind turbine support structures.” Energy Procedia 94 (2016): 191–198. https://doi.org/10.1016/j.egypro.2016.09.222.
Farrar, C. R., W. E. Baker, T. M. Bell, K. M. Cone, T. W. Darling, T. A. Duffey, A. Eklund, and A. Miglori. 1994. Dynamic characterization and damage detection in the I-40 bridge over the Rio Grande. Los Alamos, NM: Los Alamos National Laboratory.
Farrar, C. R., and S. W. Doebling. 1997. “Lessons learned from applications of vibration-based damage identification methods to a large bridge structure.” In Proc., Int. Workshop on Structural Health Monitoring, 351–370. Stanford, CA: Stanford Univ.
Farrar, C. R., and K. Worden. 2007. “An introduction to structural health monitoring.” Philos. Trans. R. Soc., A 365 (1851): 303–315. https://doi.org/10.1098/rsta.2006.1928.
Ghanem, R., and G. Ferro. 2006. “Health monitoring for strongly non-linear systems using the ensemble Kalman filter.” Struct. Control Health Monit. 13 (1): 245–259. https://doi.org/10.1002/stc.139.
Hong, K. S., and C. B. Yun. 1993. “Improved method for frequency domain identifications of structures.” Eng. Struct. 15 (3): 179–188. https://doi.org/10.1016/0141-0296(93)90052-6.
Hoshiya, M., and E. Saito. 1984. “Structural identification by extended Kalman filter.” J. Eng. Mech. 110 (12): 1757–1770. https://doi.org/10.1061/(ASCE)0733-9399(1984)110:12(1757).
Jazwinski, A. H. 1970. Stochastic process and filtering theory. New York: Academic Press.
Julier, S. J., and J. K. Uhlmann. 1997. “New extension of the Kalman filter to nonlinear systems,” In Proc., AeroSense: 11th Int. Symp. on Aerospace/Defense Sensing, Simulation and Controls, 182–193. Orlando, FL: SPIE.
Julier, S. J., J. K. Uhlmann, and H. F. Durrant-Whyte. 1995. “A new approach for filtering nonlinear systems.” In Vol. 3 of Proc., American Control Conf., 1628–1632. Piscataway, NJ: IEEE.
Kalman, R. E. 1960. “A new approach to linear filtering and prediction problems.” J. Basic Eng. 82 (1): 35–45. https://doi.org/10.1115/1.3662552.
Kalman, R. E., and R. S. Bucy. 1961. “New results in linear filtering and prediction theory.” J. Fluids Eng. 83 (1): 95–108. https://doi.org/10.1115/1.3658902.
Katkhuda, H., and A. Haldar. 2008. “A novel health assessment technique with minimum information.” Struct. Control Health Monit. 15 (6): 821–838. https://doi.org/10.1002/stc.221.
Katkhuda, H., R. Martinez-Flores, and A. Haldar. 2005. “Health assessment at local level with unknown input excitation.” J. Struct. Eng. 131 (6): 956–965. https://doi.org/10.1061/(ASCE)0733-9445(2005)131:6(956).
Kerschen, G., K. Worden, A. F. Vakakis, and J. Golinval. 2006. “Past, present and future of nonlinear system identification in structural dynamics.” Mech. Syst. Sig. Process. 20 (3): 505–592. https://doi.org/10.1016/j.ymssp.2005.04.008.
Koh, C. G., L. M. See, and T. Balendra. 1991. “Estimation of structural parameters in time domain: A substructural approach.” Earthquake Eng. Struct. Dyn. 20 (8): 787–801. https://doi.org/10.1002/eqe.4290200806.
Lee, U., and J. A. Shin. 2002. “Frequency-domain method of structural damage identification formulated from the dynamic stiffness equation of motion.” J. Sound. Vib. 257 (4): 615–634. https://doi.org/10.1006/jsvi.2002.5058.
Lin, J. W., R. Betti, A. W. Smyth, and R. W. Longman. 2001. “On-line identification of non-linear hysteretic structural systems using a variable trace approach.” Earthquake Eng. Struct. Dyn. 30 (9): 1279–1303. https://doi.org/10.1002/eqe.63.
Ling, X., and A. Haldar. 2004. “Element level system identification with unknown input with Rayleigh damping.” J. Eng. Mech. 130 (8): 877–885. https://doi.org/10.1061/(ASCE)0733-9399(2004)130:8(877).
Maes, K., K. Van Nimmen, E. Lourens, A. Rezayat, P. Guillaume, G. De Roeck, and G. Lombaert. 2016. “Validation of joint input-state estimation for force identification and response estimation in structural dynamics.” In Vol. 1 of Proc., 8th European Workshop on Structural Health Monitoring (EWSHM 2016), 537–545. Bilbao, Spain.
Mariani, S., and A. Ghisi. 2007. “Unscented Kalman filtering for nonlinear structural dynamics.” Nonlinear Dyn. 49 (1–2): 131–150. https://doi.org/10.1007/s11071-006-9118-9.
Martinez-Flores, R., H. Katkhuda, and A. Haldar. 2008. “A novel health assessment technique with minimum information: Verification.” Int. J. Performability Eng. 4 (2): 121–140. https://doi.org/10.1002/stc.221.
McVerry, G. H. 1980. “Structural identification in the frequency domain from earthquake records.” Earthquake Eng. Struct. Dyn. 8 (2): 161–180. https://doi.org/10.1002/eqe.4290080206.
Naets, F., J. Croes, and W. Desmet. 2015. “An online coupled state/input/parameter estimation approach for structural dynamics.” Comput. Methods Appl. Mech. Eng. 283: 1167–1188. https://doi.org/10.1016/j.cma.2014.08.010.
Naets, F., R. Pastorino, J. Cuadrado, and W. Desmet. 2014. “Online state and input force estimation for multibody models employing extended Kalman filtering.” Multibody Syst. Dyn. 32 (3): 317–336. https://doi.org/10.1007/s11044-013-9381-8.
Namdeo, V., and C. Manohar. 2007. “Nonlinear structural dynamical system identification using adaptive particle filters.” J. Sound Vib. 306 (3–5): 524–563. https://doi.org/10.1016/j.jsv.2007.05.040.
Perry, M. J., and C. G. Koh. 2008. “Output-only structural identification in time domain: Numerical and experimental studies.” Earthquake Eng. Struct. Dyn. 37 (4): 517–533. https://doi.org/10.1002/eqe.769.
Pintelon, R., J. Schoukens, and P. Guillaume. 1989. “Parametric frequency domain modeling in modal analysis.” Mech. Syst. Sig. Process. 3 (4): 389–403. https://doi.org/10.1016/0888-3270(89)90045-9.
Rytter, A. 1993. “Vibration based inspection of civil engineering structures.” Ph.D. dissertation, Dept. of Building Technology and Structural Engineering, Aalborg Univ.
Salawu, O. S. 1997. “Detection of structural damage through changes in frequency: A review.” Eng. Struct. 19 (9): 718–723. https://doi.org/10.1016/S0141-0296(96)00149-6.
Smyth, A. W., S. F. Masri, E. B. Kosmatopoulos, A. G. Chassiakos, and T. K. Caughey. 2002. “Development of adaptive modeling techniques for non-linear hysteretic systems.” Int. J. Non-Linear Mech. 37 (8): 1435–1451. https://doi.org/10.1016/S0020-7462(02)00031-8.
Sohn, H., C. R. Farrar, F. M. Hemez, D. D. Shunk, D. W. Stinemates, and B. R. Nadler. 2004. A review of structural health monitoring literature: 1996–2001. Los Alamos, NM: Los Alamos National Laboratory.
Toki, K., T. Sato, and J. Kiyono. 1989. “Identification of structural parameters and input ground motion from response time histories.” Struct. Eng. Earthquake Eng. 6 (2): 413–421. https://doi.org/10.2208/jscej.1989.410_243.
Wan, E. A., and R. van der Merwe. 2000. “The unscented Kalman filter for nonlinear estimation.” In Proc., Adaptive Systems for Signal Processing, Communications, Control Symp. Piscataway NJ: IEEE.
Wang, D., and A. Haldar. 1994. “Element-level system identification with unknown input.” J. Eng. Mech. 120 (1): 159–176. https://doi.org/10.1061/(ASCE)0733-9399(1994)120:1(159).
Wang, D., and A. Haldar. 1997. “System identification with limited observations and without input.” J. Eng. Mech. 123 (5): 504–511. https://doi.org/10.1061/(ASCE)0733-9399(1997)123:5(504).
Wu, M., and A. W. Smyth. 2007. “Application of the unscented Kalman filter for real-time nonlinear structural system identification.” Struct. Control Health Monit. 14 (7): 971–990. https://doi.org/10.1002/stc.186.
Yang, J. N., and H. Huang. 2007. “Sequential non-linear least-square estimation for damage identification of structures with unknown inputs and unknown outputs.” Int. J. Non-Linear Mech. 42 (5): 789–801. https://doi.org/10.1016/j.ijnonlinmec.2007.03.004.
Yoshida, I. 2001. “Damage detection using Monte Carlo filter based on non-Gaussian noise.” In Proc., Structural Safety and Reliability, ICOSSAR 2001. Rotterdam, Netherlands: A.A.Balkema.
Yun, C.-B., and M. Shinozuka. 1980. “Identification of nonlinear structural dynamic systems.” J. Struct. Mech. 8 (2): 187–203. https://doi.org/10.1080/03601218008907359.

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 32Issue 1January 2019

History

Received: Oct 4, 2017
Accepted: Jun 1, 2018
Published online: Sep 26, 2018
Published in print: Jan 1, 2019
Discussion open until: Feb 26, 2019

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Abdullah Al-Hussein, A.M.ASCE [email protected]
Lecturer, Dept. of Civil Engineering, Univ. of Basrah, Basrah IQ-61004, Iraq. Email: [email protected]
Achintya Haldar, Dist.M.ASCE [email protected]
Professor, Dept. of Civil Engineering and Engineering Mechanics, Univ. of Arizona, Tucson, AZ 85721 (corresponding author). Email: [email protected]

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