Technical Papers
Jun 8, 2017

Error Analysis of Spatially Varying Seismic Ground Motion Simulation by Spectral Representation Method

Publication: Journal of Engineering Mechanics
Volume 143, Issue 9

Abstract

This paper investigates statistical errors in the simulation of spatially varying seismic ground motions modeled by evolutionary Gaussian vector processes and simulated by the spectral representation method (SRM). Formulas are derived for both bias and random errors of the simulated evolutionary power spectral density (EPSD), time-varying correlation function, and standard deviation with respect to the target (idealized) ones. The closed-form error formulas for the EPSD are further simplified under specified conditions. It is shown that the simulated nonstationary characteristics are all unbiased, the closed-form random error formulas for the EPSD can reduce to those for stationary simulations, and the predicted random errors match those given by the ensemble average. By using the random error formulas, the factors influencing the random errors are investigated. The results show that the SRM implementation scheme involving both random amplitudes and phase angles would cause larger random errors, and increasing the number of samples and frequency intervals would reduce these errors. Closed-form error formulas are finally used to estimate errors in the simulation of spatially varying seismic ground motions for the Tsing Ma suspension bridge.

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Acknowledgments

The authors wish to acknowledge the financial support provided by the Research Grants Council of Hong Kong (PolyU 5304/11E), The Hong Kong Polytechnic University (PolyU 4-ZZCC), the National Natural Science Foundation of China (No. 51308244), Natural Science Foundation of Hubei Province in China (No. 2012FFB02605), and the U.S. National Science Foundation (CMMI 1462076). Any opinions and conclusions presented here do not necessarily represent the sponsors’ viewpoints.

References

Bendat, J. S., and Piersol, A. G. (2010). Random data: Analysis and measurement procedures, 4th Ed., Wiley, New York.
Chen, X., and Kareem, A. (2005). “Proper orthogonal decomposition-based modeling, analysis and simulation of dynamic wind loads.” J. Eng. Mech., 325–339.
Conte, J. P., and Peng, B. F. (1997). “Fully nonstationary analytical earthquake ground-motion model.” J. Eng. Mech., 15–24.
Das, S., and Gupta, V. K. (2008). “Wavelet-based simulation of spectrum-compatible aftershock accelerograms.” Earthquake Eng. Struct. Dyn., 37(11), 1333–1348.
Deodatis, G. (1996). “Non-stationary stochastic vector processes: Seismic ground motion applications.” Probab. Eng. Mech., 11(3), 149–167.
Deodatis, G., and Shinozuka, M. (1988). “Auto-regressive model for nonstationary stochastic processes.” J. Eng. Mech., 1995–2012.
Der Kiureghian, A., and Crempien, J. (1989). “An evolutionary model for earthquake ground motion.” Struct. Saf., 6(2–4), 235–246.
Di Paola, M., and Zingales, M. (2000). “Digital simulation of multivariate earthquake ground motions.” Earthquake Eng. Struct. Dyn., 29(7), 1011–1027.
Gao, Y., et al. (2012). “Error assessment for spectral representation method in random field simulation.” J. Eng. Mech., 711–715.
Gao, Y., et al. (2013). “Error assessment for the coherency matrix-based spectral representation method in multivariate random processes simulation.” J. Eng. Mech., 1294–1299.
Giaralis, A., and Spanos, P. D. (2009). “Wavelet-based response spectrum compatible synthesis of accelerograms-Eurocode application (EC8).” Soil Dyn. Earthquake Eng., 29(1), 219–235.
Giaralis, A., and Spanos, P. D. (2012). “Derivation of response spectrum compatible non-stationary stochastic processes relying on Monte Carlo-based peak factor estimation.” Earthquake Struct., 3(3–4), 581–609.
Grigoriu, M. (1986). “Errors in simulation of random processes.” J. Struct. Eng., 2697–2702.
Grigoriu, M. (2010). “A spectral-based Monte Carlo algorithm for generating samples of nonstationary Gaussian processes.” Monte Carlo Methods Appl., 16(2), 143.
Grigoriu, M., Ruiz, S. E., and Rosenblueth, E. (1988). “The Mexico earthquake of September 19, 1985—Nonstationary models of seismic ground acceleration.” Earthquake Spectra, 4(3), 551–568.
Gu, P., and Wen, Y. K. (2007). “A record-based method for the generation of tridirectional uniform hazard-response spectra and ground motions using the Hilbert-Huang transform.” Bull. Seismol. Soc. Am., 97(5), 1539–1556.
Hu, L., Li, L., Fan, J., and Fang, Q. (2006). “Coherency matrix-based proper orthogonal decomposition with application to wind fields simulation.” Earthquake Eng. Eng. Vibr., 5(2), 267–272.
Hu, L., Li, L., and Gu, M. (2010). “Error assessment for spectral representation method in wind velocity field simulation.” J. Eng. Mech., 1090–1104.
Hu, L., Xu, Y. L., and Zheng, Y. (2012). “Conditional simulation of spatially variable seismic ground motions based on evolutionary spectra.” Earthquake Eng. Struct. Dyn., 41(15), 2125–2139.
Huang, G. (2014). “An efficient simulation approach for multivariate nonstationary process: Hybrid of wavelet and spectral representation method.” Probab. Eng. Mech., 37, 74–83.
Iyama, J., and Kuwamura, H. (1999). “Application of wavelets to analysis and simulation of earthquake motions.” Earthquake Eng. Struct. Dyn., 28(3), 255–272.
Iyengar, R. N., and Rao, P. N. (1979). “Generation of spectrum compatible accelerograms.” Earthquake Eng. Struct. Dyn., 7(3), 253–263.
Kareem, A., Deodatis, G., and Shinozuka, M. (1997). “Modeling of coherence for stochastic representation of wind, wave and seismic load effects.” Proc., 7th Int. Conf. on Structural Safety and Reliability (ICOSSAR ‘97), A.A. Balkema, Kyoto, Japan, 24–28.
Konakli, K., and Der Kiureghian, A. (2012). “Simulation of spatially varying ground motions including incoherence, wave-passage and differential site-response effects.” Earthquake Eng. Struct. Dyn., 41(3), 495–513.
Li, Y., and Kareem, A. (1991). “Simulation of multivariate nonstationary random processes by FFT.” J. Eng. Mech., 1037–1058.
Li, Y., and Kareem, A. (1997). “Simulation of multivariate nonstationary random processes: Hybrid DFT and digital filtering approach.” J. Eng. Mech., 1302–1310.
Liang, J., Chaudhuri, S. R., and Shinozuka, M. (2007). “Simulation of nonstationary stochastic processes by spectral representation.” J. Eng. Mech., 616–627.
Liao, S., and Zerva, A. (2006). “Physically compliant, conditionally simulated spatially variable seismic ground motions for performance-based design.” Earthquake Eng. Struct. Dyn., 35(7), 891–919.
Novak, D., Stoyanoff, S., and Herda, H. (1995). “Error assessment for wind histories generated by autoregressive method.” Struct. Saf., 17(2), 79–90.
Papoulis, A., and Pillai, S. U. (2002). Probability, random variables and stochastic processes, McGraw-Hill, Auckland, New Zealand.
Peng, Y., and Li, J. (2013). “A univariate phase spectrum model for simulation of nonstationary earthquake ground motions.” J. Earthquake Tsunami, 7(3), 1350025.
Preumont, A. (1984). “The generation of spectrum compatible accelerograms for the design of nuclear power plants.” Earthquake Eng. Struct. Dyn., 12(4), 481–497.
Priestley, M. B. (1965). “Evolutionary spectra and non-stationary processes.” J. R. Stat. Soc. Ser. B, 27(2), 204–237.
Priestley, M. B. (1988). Non-linear and nonstationary time series analysis, Academic Press, London.
Rezaeian, S. (2010). “Stochastic modeling and simulation of ground motions for performance-based earthquake engineering.” Ph.D. thesis, Univ. of California, Berkeley, CA.
Rezaeian, S., and Der Kiureghian, A. (2008). “A stochastic ground motion model with separable temporal and spectral nonstationarities.” Earthquake Eng. Struct. Dyn., 37(13), 1565–1584.
Rezaeian, S., and Der Kiureghian, A. (2010). “Simulation of synthetic ground motions for specified earthquake and site characteristics.” Earthquake Eng. Struct. Dyn., 39(10), 1155–1180.
Shinozuka, M., and Deodatis, G. (1991). “Simulation of stochastic processes by spectral representation.” Appl. Mech. Rev., 44(4), 191–204.
Solari, G., Carassale, L., and Tubino, F. (2007). “Proper orthogonal decomposition in wind engineering. 1: A state-of-the-art and some prospects.” Wind Struct., 10(2), 153–176.
Spanos, P. D., and Failla, G. (2004). “Evolutionary spectra estimation using wavelets.” J. Eng. Mech., 952–960.
Spanos, P. D., Tezcan, J., and Tratskas, P. (2005). “Stochastic processes evolutionary spectrum estimation via harmonic wavelets.” Comput. Methods Appl. Mech. Eng., 194(12–16), 1367–1383.
Wang, L., McCullough, M., and Kareem, A. (2013). “A data-driven approach for simulation of full-scale downburst wind speeds.” J. Wind Eng. Ind. Aerodyn., 123, 171–190.
Wang, L., McCullough, M., and Kareem, A. (2014). “Modeling and simulation of nonstationary processes utilizing wavelet and Hilbert transforms.” J. Eng. Mech., 345–360.
Zanardo, G., Hao, H., and Modena, C. (2002). “Seismic response of multi-span simply supported bridges to a spatially varying earthquake ground motion.” Earthquake Eng. Struct. Dyn., 31(6), 1325–1345.
Zerva, A. (1992). “Seismic ground motion simulations from a class of spatial variability models.” Earthquake Eng. Struct. Dyn., 21(4), 351–361.
Zerva, A. (2009). Spatial variation of seismic ground motions: Modeling and engineering applications, CRC Press, Boca Raton, FL.
Zerva, A., and Zervas, V. (2002). “Spatial variation of seismic ground motions: An overview.” Appl. Mech. Rev., 55(3), 271–297.
Zhang, D.-Y., Liu, W., Xie, W.-C., and Pandey, M. D. (2013). “Modeling of spatially correlated, site-reflected, and nonstationary ground motions compatible with response spectrum.” Soil Dyn. Earthquake Eng., 55, 21–32.
Zhang, Y. S., Zhao, F. X., and Yang, C. H. (2012). “Generation of nonstationary artificial ground motion based on the Hilbert transform.” Bull. Seismol. Soc. Am., 102(6), 2405–2419.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 143Issue 9September 2017

History

Received: Aug 25, 2015
Accepted: Feb 10, 2017
Published online: Jun 8, 2017
Published in print: Sep 1, 2017
Discussion open until: Nov 8, 2017

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Associate Professor, School of Civil Engineering and Mechanics, Huazhong Univ. of Science and Technology, Wuhan 430074, China; formerly, Research Fellow, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., Kowloon, Hong Kong, China (corresponding author). E-mail: [email protected]
Ph.D. Student, Dept. of Civil and Environmental and Geo Engineering, Univ. of Minnesota, Minneapolis, MN 55455; formerly, Graduate Student, School of Civil Engineering and Mechanics, Huazhong Univ. of Science and Technology, Wuhan 430074, China. E-mail: [email protected]
You-Lin Xu, F.ASCE [email protected]
Chair Professor, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., Kowloon, Hong Kong, China. E-mail: [email protected]
Professor, School of Civil Engineering and Mechanics, Huazhong Univ. of Science and Technology, Wuhan 430074, China. E-mail: [email protected]
Ahsan Kareem, Dist.M.ASCE [email protected]
Robert M. Moran Professor, NatHaz Modeling Laboratory, Univ. of Notre Dame, Notre Dame, IN 46556. E-mail: [email protected]

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