Interstory Drift Estimation of Nonlinear Structure Using Acceleration Measurement with Test Validation
Publication: Journal of Engineering Mechanics
Volume 141, Issue 10
Abstract
An interstory drift-estimation method using structural acceleration measurements is presented in this study. In this method, the structural system, generally modeled with multiple-degree-of-freedom (MDOF) and Bouc–Wen hysteretic models, is decomposed into a series of single-degree-of-freedom (SDOF) substructures for interstory drift prediction. A virtual linear structural model, representing the linear behavior of the designed substructure, is used to generate reference response signals to obtain the tracking error of acceleration. The tracking error of displacement is subsequently estimated with the implementation of a robust Kalman-filtering approach, and the corresponding interstory drift of the objective substructure is then predicted accordingly. The prediction performance of interstory drift, in terms of peak drift and time history, is numerically investigated with two SDOF models and a four-story shear-beam model adopting different hysteretic characteristics. Results obtained by the present numerical simulations for the illustrative examples are further validated by experimental investigations using a base-isolated three-story structure. The numerical simulation results are found to be in favorable correlation with some representative experimental data. Influences of the time interval of the tracking-error signals on the prediction performance is further studied and discussed.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
This study is sponsored by the National Science Foundation of China (Grant No. 51408435) and the Fundamental Research Funds for the Central Universities (Grant No. 2013KJ041).
References
Baradaran-nia, M., Alizadeh, G., Khanmohammadi, S., and Farahmand Azar, B. (2012). “Optimal sliding mode control of single degree-of-freedom hysteretic structural system.” Commun. Nonlinear Sci. Numer. Simul., 17(11), 4455–4466.
Ben Hmida, F., Khémiri, K., Ragot, J., and Gossa, M. (2012). “Three-stage Kalman filter for state and fault estimation of linear stochastic systems with unknown inputs.” J. Franklin Inst., 349(7), 2369–2388.
Celebi, M., and Sanli, A. (2002). “GPS in pioneering dynamic monitoring of long-period structures.” Earthquake Spectra, 18(1), 47–61.
Çelebi, M. (2008). “Real-time monitoring of drift for occupancy resumption.” Proc., 14th World Conf. on Earthquake Engineering (14WCEE), Beijing.
Ghanem, R., and Ferro, G. (2006). “Health monitoring for strongly non-linear systems using the ensemble Kalman filter.” Struct. Control Health Monit., 13(1), 245–259.
Ikhouane, F., Mañosa, V., and Rodellar, J. (2005). “Adaptive control of a hysteretic structural system.” Automatica, 41(2), 225–231.
Li, H., Dong, S., El-Tawil, S., and Kamat, V. (2013a). “Relative displacement sensing techniques for postevent structural damage assessment: Review.” J. Struct. Eng., 1421–1434.
Li, H., Mao, C., and Ou, J. (2013b). “Identification of hysteretic dynamic systems by using hybrid extended Kalman filter and wavelet multiresolution analysis with limited observation.” J. Eng. Mech., 547–558.
Omrani, R., Hudson, R., and Taciroglu, E. (2013). “Parametric identification of nondegrading hysteresis in a laterally and torsionally coupled building using an unscented Kalman filter.” J. Eng. Mech., 452–468.
Pan, T.-C., and Lee, C. L. (2002). “Application of wavelet theory to identify yielding in seismic response of bi-linear structures.” Earthquake Eng. Struct. Dyn., 31(2), 379–398.
Shan, J., Yang, H., Shi, W., Bridges, D., and Hansma, P. (2013). “Structural damage diagnosis using interstory drift-based acceleration feedback with test validation.” J. Eng. Mech., 1185–1196.
Shodja, A., and Rofooei, F. (2014). “Using a lumped mass, nonuniform stiffness beam model to obtain the interstory drift spectra.” J. Struct. Eng., 04013109.
Skolnik, D. A., Ciudad-Real, M., Graf, T., Sinclair, M., Swanson, D. B., and Goings, C. (2012). “Recent experience from buildings equipped with seismic monitoring systems for enhanced post-earthquake inspection.” Proc., 15th World Conf. on Earthquake Engineering (15WCEE), Lisbon, Portugal.
Skolnik, D. A., and Wallace, J. W. (2010). “Critical assessment of interstory drift measurements.” J. Struct. Eng., 1574–1584.
Storn, R., and Price, K. (1997). “Differential evolution– a simple and efficient heuristic for global optimization over continuous spaces.” J. Global Optim., 11(4), 341–359.
Trifunac, M., and Todorovska, M. (2001). “A note on the useable dynamic range of accelerographs recording translation.” Soil Dyn. Earthquake Eng., 21(4), 275–286.
Wen, Y.-K. (1976). “Method for random vibration of hysteretic systems.” J. Engrg. Mech. Div., 102(2), 249–263.
Wu, J. C., and Yang, J. N. (2000). “LQG control of lateral-torsional motion of Nanjing TV transmission tower.” Earthquake Eng. Struct. Dyn., 29(8), 1111–1130.
Wu, M., and Smyth, A. W. (2007). “Application of the unscented Kalman filter for real-time nonlinear structural system identification.” Struct. Control Health Monit., 14(7), 971–990.
Yang, H., Shan, J., Randall, C., Hansma, P., and Shi, W. (2014). “Integration of health monitoring and control of building structures during earthquakes.” J. Eng. Mech., 04014013.
Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 141 • Issue 10 • October 2015
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Oct 10, 2014
Accepted: Feb 23, 2015
Published online: May 4, 2015
Published in print: Oct 1, 2015
Discussion open until: Oct 4, 2015
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.