Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Inverse Dynamic Active Ground Motion Acceleration Inputs Estimation of the Retaining Structure

Authors: Ming-Hui Lee, Iau-Teh Wang

Abstract:

The innovative fuzzy estimator is used to estimate the ground motion acceleration of the retaining structure in this study. The Kalman filter without the input term and the fuzzy weighting recursive least square estimator are two main portions of this method. The innovation vector can be produced by the Kalman filter, and be applied to the fuzzy weighting recursive least square estimator to estimate the acceleration input over time. The excellent performance of this estimator is demonstrated by comparing it with the use of difference weighting function, the distinct levels of the measurement noise covariance and the initial process noise covariance. The availability and the precision of the proposed method proposed in this study can be verified by comparing the actual value and the one obtained by numerical simulation.

Keywords: Earthquake, Fuzzy Estimator, Kalman Filter, Recursive Least Square Estimator.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1332688

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1179

References:


[1] T. Y. Chen, F. Cotton, Y. B. Tsai, and J. Angelier, "Quantification of hanging-wall effects on ground motion: some insights from the 1999 Chi-Chi earthquake," Bulletin of the Seismological Society of America, vol. 94, no. 6, pp. 2186-2197, 2004.
[2] M. Sugito, Y. Furumoto, and T. Sugiyama, "Strong motion prediction on rock surface by superposed evolutionary spectra," 12th World Conference on Earthquake Engineering, 2111/4/A CD-ROM, 2001.
[3] B. S. Twitchell, and M. D. Symans, "Analytical modeling, system identification, and tracking performance of uniaxial seismic simulators," Journal of engineering mechanics, vol. 129, no. 12, pp. 1485-1488, 2003.
[4] S. Tadanobu, and M. Yoshotaka, "Simulation of Earthquake Motion from Phase Information," Journal. of Natural Disaster Science, vol. 25, pp. 93-101, 2003.
[5] D. M. David, "Simulation of Ground Motion Using the Stochastic Method," Pure and Applied Geophysics, vol. 160, pp. 635-676, 2003.
[6] M. Kuse, M. Sugito, and N. Nojima, "Inversion of source process in consideration of filtered-acceleration envelope," 13th World Conference on Earthquake Engineering, Vancouver, B.C., Canada, pp. 1-6, August, 2004.
[7] C. C. Ji, S. Ay, and C. A. Liang, "study on an estimation technique for the transverse impact of plates," International Journal for Numerical Methods in Engineering, vol.50, pp. 579-593, 2001.
[8] J. J. Liu, C. K. Ma, I. C. Kung, and D. C. Lin, "Input force estimation of a cantilever plate by using a system," Computer Methods Applied Mechanic Engineering, vol. 190, pp. 1309-1322, 2000.
[9] C. K. Ma, J. M. Chang, and D. C. Lin, "Input forces estimation of beam structures by an inverse method," Journal of Sound and Vibration, Vol. 259, no. 2, pp. 387- 407, 2003.
[10] C. K. Ma, and C. C. Ho, "An inverse method for the estimation of input forces acting on on-linear structural systems," Journal of Sound and Vibration, vol. 275, pp. 953-971, 2004.
[11] S. Deng, and T. Y. Heh, "The study of structural system dynamic problems by recursive estimation method," International Journal Advanced Manufacturing Technology, vol. 30, pp. 195-202, 2006.
[12] M. H. Lee, and T. C. Chen, "Blast Load Input Estimation of the Medium Girder Bridge using Inverse Method," Defence Science Journal vol. 58, no. 1, pp. 46-56, 2008.
[13] T. C. Chen, and M. H. Lee, "Inverse active wind load inputs estimation of the multilayer shearing stress structure," Wind and Structures, An International Journal, vol. 11, no. 1, pp. 19-33, 2008.
[14] T. C. Chen, and M. H. Lee, "Research on Moving Force Estimation of the Bridge Structure using the Adaptive Input Estimation Method," Electronic Journal of Structural Engineering, vol. 8, pp. 20-28, 2008.
[15] C. Deepankar, and C. Santiram, "Dynamic Active Earth Pressure on Retaining Structures," Sadhand, vol. 31, pp. 721-730, 2006.
[16] P. C. Tuan, L. W. Fong, and W. T. Huang, "Analysis of On-Line Inverse Heat Conduction Problems," Journal of Chung Cheng Institute of Technology, vol. 25, no. 1, pp. 59 -73, 1996.
[17] P. C. Tuan, and W. T. Hou, "Adaptive robust weighting input estimation method for the 1-D inverse heat conduction problem," Numeral Heat Transfer, vol. 34, pp. 439-456, 1998.
[18] L. X. Wang, Adaptive Fuzzy Systems and Control: Design and Stability Analysis, Prentice-Hall, Englewood Cliffs, NJ, 1994.
[19] A. S. Veletsos, and A. H. Younan, "Dynamic modeling and response of soil-wall systems," Journal Geotectonic Engineering, ASCE, vol. 120, pp. 2155-2179, 2000.
[20] Academia Sinica, Institute of Earth Sciences, [email protected] edu.tw.