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Evolutionary Power Spectrum Estimation of September 19, 1985 Mexico Earthquake Accelerograms

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Stochastic Approaches in Earthquake Engineering

Part of the book series: Lecture Notes in Engineering ((LNENG,volume 32))

Abstract

Some preliminary results of an approach to estimating seismic evolutionary power spectra are discussed. It is assumed that the available accelerograms belong to a broad-band stochastic process. The power spectrum is estimated by determining the statistical moments of the energy of a lightly damped linear system (filter) excited by the stochastic seismic process. Some preliminary numerical data from the September 19, 1985 Mexico earthquake are presented.

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References

  1. Aki, K., and Richards, P., Quantitative Seismology, Theory and Methods, Vol. I, II, W. H. Freeman and Company, San Francisco, 1979.

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Author information

Authors and Affiliations

  1. Civil Engineering, Rice University, P. O. Box 1892, Houston, TX., 77251, USA

    P. Spanos & M. Donley

  2. Civil Engineering, University of Texas, Austin, TX., 78712, USA

    J. Roesset

Authors
  1. P. Spanos
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  2. J. Roesset
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  3. M. Donley
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Editor information

Editors and Affiliations

  1. College of Engineering, Center for Applied Stochastics Research, Florida Atlantic University, P. O. Box 3091, 33431, Boca Raton, FLA, USA

    Y. K. Lin (Prof., Schmidt Chair in Engineering) (Prof., Schmidt Chair in Engineering)

  2. Disaster Prevention Research Institute, Kyoto University, Gokasho, Uji, Kyoto, 611, Japan

    R. Minai (Prof.) (Prof.)

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© 1987 Springer-Verlag Berlin, Heidelberg

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Spanos, P., Roesset, J., Donley, M. (1987). Evolutionary Power Spectrum Estimation of September 19, 1985 Mexico Earthquake Accelerograms. In: Lin, Y.K., Minai, R. (eds) Stochastic Approaches in Earthquake Engineering. Lecture Notes in Engineering, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83252-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-83252-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18462-1

  • Online ISBN: 978-3-642-83252-9

  • eBook Packages: Springer Book Archive

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