Skip to main content

A Seismologically Consistent Husid Envelope Function for the Stochastic Simulation of Earthquake Ground-Motions

  • Chapter
  • First Online:

Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 22))

Abstract

Earthquake-induced ground-motion may be realistically described as random processes that are intrinsically non-stationary in both amplitude and frequency content. In order to take into account the finite duration and the amplitude non-stationarity of earthquake-induced ground-motions, it is common practice to modulate a stationary stochastic process with a shaping window, or envelope function, in order to obtain a transient signal. Different shapes have been proposed in literature for such windows but the main problem until now has been how to correlate the parameters of the shaping window to the characteristics of some seismic design scenario (such as magnitude, distance, and site conditions). In this work, an envelope function is proposed that makes use of parameters that are commonly available in seismic design situations involving a scenario-type analysis. Such a scenario may be deterministically prescribed, or may be the result of a probabilistic seismic hazard analysis. The envelope function is also directly related to the Arias intensity of the ground motion and has a functional form closely related to that of a lognormal probability density function. The envelope function may be used, in conjunction with suitable peak factors, to predict the distribution of peak ground acceleration values corresponding to a given earthquake scenario.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Barnoski, R.L., Maurer, J.R.: Mean-square response of simple mechanical systems to nonstationary random excitation. J. Appl. Mech. ASME 36, 221–227 (1969)

    Google Scholar 

  2. Caughey, T.K., Stumpf, H.J.: Transient response of a dynamic system under random excitation. J. Appl. Mech. ASME 28(3), 563–566 (1961)

    MATH  Google Scholar 

  3. Chiou, B.S.J., Darragh, R., Gregor, N., Silva, W.: NGA project strong-motion database. Earthq. Spectra. 24(1), 23–44 (2008)

    Google Scholar 

  4. Dugundji, J.: Envelopes and pre-envelopes of real waveforms. IRE Trans. Inform. Theor. 4, 53–57 (1958)

    Article  MathSciNet  Google Scholar 

  5. Fan, F.G., Ahmadi, G.: Nonstationary Kanai-Tajimi models for El Centro 1940 and Mexico City 1985 earthquakes. Probabilist. Eng. Mech. 5, 171–181 (1990)

    Article  Google Scholar 

  6. Housner, G.W.: Characteristics of Strong-Motion Earthquakes. Bull. Seism. Soc. Am. 37, 19–31 (1947)

    Google Scholar 

  7. Iyengar, R.N., Iyengar, K.T.S.: A nonstationary random process model for earthquake accelerograms. Bull. Seismol. Soc. Am. 59, 1163–1188 (1969)

    Google Scholar 

  8. Jangid, R.S.: Response of a SDOF system to non-stationary earthquake excitation. Earthq. Eng. Struct. Dyn. 33, 1417–1428 (2004)

    Article  Google Scholar 

  9. Jennings, P., Housner, G.W., Tsai, N.: Simulated earthquake motions for design purposes. In: Proceedings of the 4th World Conference on Earthquake Engineering, Santiago, Chile, A-1: pp. 145–160 (1968)

    Google Scholar 

  10. Kanai, K.: Semi-empirical formula for the seismic characteristics of the ground motion. Bull. Earthq. Res. Inst. Univ. Tokyo 35, 309–325 (1957)

    Google Scholar 

  11. Levy, R., Kozin, F., Moorman, R.B.B.: Random processes for earthquake simulation. J. Eng. Mech. Div-ASCE 97, 495–517 (1971)

    Google Scholar 

  12. Liang, J., Chaudhuri, S.R., Shinozuka, M.: Simulation of nonstationary stochastic processes by spectral representation. J. Eng. Mech-ASCE 133(6), 616–627 (2007)

    Article  Google Scholar 

  13. Lin, Y.K., Yong, Y.: Evolutionary Kanai-Tajimi earthquake models. J. Eng. Mech. Div-ASCE 113(8), 1119–1137 (1987)

    Article  Google Scholar 

  14. Liu, S., Jhaveri, D.P.: Spectral simulation and earthquake site properties. J. Eng. Mech. Div-ASCE 95, 1145–1168 (1969)

    Google Scholar 

  15. Lutes, L.D., Sarkani, S.: Stochastic Analysis of Structural and Mechanical Vibrations. Prentice Hall, Englewood Cliffs (2004)

    Google Scholar 

  16. Marple, S.L.: Computing the discrete-time analytic signal via FFT. IEEE Trans. Signal Proces. 47(9), 2600–2603 (1999)

    Article  MATH  Google Scholar 

  17. Pinheiro, J., Bates, D., DebRoy, S., Sarkar, D., and the R Core team nlme: linear and nonlinear mixed effects models. R package version 3.1-89 (2008)

    Google Scholar 

  18. Priestley, M.B.: Evolutionary spectra and nonstationary processes. J. Roy. Stat. Soc. Series B (Methodol) 27, 204–237 (1965)

    Google Scholar 

  19. Quek, S.T., Teo, Y.P., Balendra, T.: Non-stationary structural response with evolutionary spectra using a seismological input model. Earthq. Eng. Struct. Dyn. 19, 275–288 (1990)

    Article  Google Scholar 

  20. R Development Core Team R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org (2008)

  21. Rezaeian, S., Der Kiureghian, A.: A stochastic ground motion model with separable temporal and spectral nonstationarities. Earthq. Eng. Struct. Dyn. 37, 1565–1584 (2008)

    Google Scholar 

  22. Saragoni, G.R., Hart, G.C.: Simulation of artificial earthquakes. Earthq. Eng. Struct. Dyn. 2, 249–267 (1974)

    Article  Google Scholar 

  23. Shinozuka, M., Sato, Y.: Simulation of nonstationary random processes. J. Eng. Mech. Div-ASCE 93, 11–40 (1967)

    Google Scholar 

  24. Soong, T.T., Grigoriu, M.: Random vibration of Mechanical and Structural Systems. Prentice Hall, Englewood Cliffs (1993)

    Google Scholar 

  25. Stafford, P.J., Bommer, J.J.: Empirical equations for the prediction of the equivalent number of cycles of earthquake ground motion. Soil Dyn. Earthq. Eng. 29, 1425–1436 (2009)

    Article  Google Scholar 

  26. Stafford, P.J., Sgobba, S., Marano, G.C.: An energy-based envelope function for the stochastic simulation of earthquake accelerograms. Soil Dyn. Earthq. Eng. 29, 1123–1133 (2009)

    Article  Google Scholar 

  27. Stafford, P.J., Berrill, J.B., Pettinga, J.R.: New predictive equations for Arias intensity from crustal earthquakes in New Zealand. J. Seismol. 13, 31–52 (2009)

    Article  Google Scholar 

  28. Tajimi, H.: A statistical method of determining the maximum response of a building structure during an earthquake. In: Proceedings of the 2nd World Conference on Earthquake Engineering, Tokyo and Kyoto II: pp. 781–796 (1960)

    Google Scholar 

  29. Travasarou, T., Bray, J.D., Abrahamson, N.A.: Empirical attenuation relationship for Arias intensity. Earthq. Eng. Struct. Dyn. 32, 1133–1155 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sara Sgobba .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media B.V.

About this chapter

Cite this chapter

Sgobba, S., Stafford, P.J., Marano, G.C. (2011). A Seismologically Consistent Husid Envelope Function for the Stochastic Simulation of Earthquake Ground-Motions. In: Papadrakakis, M., Stefanou, G., Papadopoulos, V. (eds) Computational Methods in Stochastic Dynamics. Computational Methods in Applied Sciences, vol 22. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9987-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-90-481-9987-7_12

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9986-0

  • Online ISBN: 978-90-481-9987-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics