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Evolutionary Kanai-Tajimi Type Earthquake Models

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Stochastic Approaches in Earthquake Engineering

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

Abstract

A versatile mathematical framework based on the concept of random pulse train is proposed for the modeling of hypothetical ground acceleration in a future earthquake for engineering design purposes. This framework is potentially capable of incorporating various physical features arising from propagation, reflection and refraction of seismic waves in the ground. Three specific simplified models are then investigated: an evolutionary Kanai-Tajimi model, a one-dimensional elastic model, and a one-dimensional Maxwell model. Artificial seismograms are generated from these models to simulate the 1985 Mexico earthquake, and the results are compared with an actual record. It is shown that all the random pulse train models have an evolutionary spectral representation which permits variation of both mean-square intensity and frequency contents, and that the random vibration analyses of linear and nonlinear structures under such excitations can be simply formulated.

This paper also appeared in the Journal of Engineering Mechanics Vol. 113, No. 8, August, 1987, reprinted herein with permission from the American Society of Civil Engineers.

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Appendix I.-References

  • Aki, K., Bouchon, M., Chouet, B., and Das, S. (1977). “Quantitative Prediction of Strong Motion for a Potential Earthquake Fault,” Annali di Geofisica, 30, 341–368.

    Google Scholar 

  • Ariaratnam, S. T. (1980). “Bifurcation in Nonlinear Stochastic Systems,” in Holmes, P. T. ed. New Approaches to Nonlinear Problems in Dynamics, SIAM Publications, Philadephia, PA, 470–473.

    Google Scholar 

  • Beck, J. L. and Hall, J. F. (1986). “Engineering Features of the Recent Mexican Earthquake,” Engineering and Science, January, 2–9.

    Google Scholar 

  • Bendat, J. S., Enochson, L. D., Klein, G. H. and Peirsol, A. G. (1962). “Advanced Concepts of Stochastic Vehicle Vibration Estimation and Measurement,” ASD-TOR-62–973, Aeronautical Systems Division, Wright-Patterson Air Force Base.

    Google Scholar 

  • Beutler, F. J., and Leneman, O.A.Z., (1968). “The Spectral Analysis of Impulse Processes,” Information and Control, 12, 236–258.

    Article  MATH  MathSciNet  Google Scholar 

  • Bolotin, V. V. (1965). Statistical Methods in Structural Engineering, Hoden-Day, San Francisco.

    Google Scholar 

  • Burridge, R. and Knopoff, L. (1964). “Body Force Equivalents for Seismic Disloctions,” Bull. Seismological Society of America, 54, 1875–1888.

    Google Scholar 

  • Bruckner, A. and Lin, Y. K., “Generalization of the Equivalent Linearization Method for Nonlinear Random Vibration Problems,” to appear.

    Google Scholar 

  • Bruckner, A. and Lin, Y. K., “Application of Complex Stochastic Averaging to Nonlinear Random Vibration Problems,” to appear.

    Google Scholar 

  • Caughey, T. K. (1963). “Nonstationary Random Inputs and Responses”, in Random Vibration, Volume 2, ed. S. H. Crandall, MIT Press.

    Google Scholar 

  • Clough, R. W. and Penzien, J. (1975). Dynamics of Structures, McGraw-Hill Book Co., New York.

    MATH  Google Scholar 

  • Cornell, C. A. (1964). “Stochastic Process Models in Structural Engineering”, Department of Civil Engineering Technical Report No. 34, Stanford University, Stanford, California.

    Google Scholar 

  • Kanai, K. (1957). “Seismic-Emperical Formula for the Seismic Characteristics of the Ground,” Bull. Earthquake Research Institute, Japan, 35, 309–325.

    Google Scholar 

  • Lee, E. H. and Kanter, I. (1953). “Wave Propagation in Finite Rods of Viscoelastic Materials,” Journal of Applied Physics, 24 (9), 1115–1122.

    Article  MATH  Google Scholar 

  • Leneman, O.A.Z. (1966). “Random Sampling of Random Processes: Impulse Processes,” Information and Control, 9, 347–363.

    Article  MATH  MathSciNet  Google Scholar 

  • Lin, Y. K. (1963). “Application of Nonstationary Shot Noise in the Study of System Response to a Class of Nonstationary Excitations”, Journal of Applied Mechanics, 30, 555–558.

    Article  MATH  Google Scholar 

  • Lin, Y. K., (1967). Probabilistic Theory of Structural Dynamics, McGraw-Hill, New York. Reprinted by Krieger Publishing Co., Malabar, FL, 1976.

    Google Scholar 

  • Lin, Y. K. (1986). “On random pulse train and its evolutionary spectral representation”, Probabilistic Engineering Mechanics, 1, 219–223.

    Article  Google Scholar 

  • Liu, S. C. (1970). “Evolutionary Power Spectral Density of Strong Motion Earthquake”, Bulletin of Seismological Society of America, 60, 891–900.

    Google Scholar 

  • Liu, S. C. (1970). “Dynamics of Correlated Random Pulse Trains,”, Journal of the Engineering Mechanics Division, ASCE, 96, No. EM4, 455–470.

    Google Scholar 

  • Maruyama, T. (1963). “On the Force Equivalents of Dynamic Elastic Dislocations with Reference to the Earthquake Mechanism,” Bull. Earthquake Research Institute, Tokyo University, 41, 467–486.

    Google Scholar 

  • Mazzetti, P. (1962). “Study of Noniniependent Random Pulse Trains, with Application to the Barkhausen Noise,” Nuovo Cimento, 25, 1323–1342.

    Google Scholar 

  • Papageorgiou, A. and Aki, K. (1983). “A Specific Barrier Model for the Quantative Description of Inhomeogeneous Faulting and the Prediction of Strong Ground Motion,” Bull. Seismological Society of America, 73, 693–722 and 953–978.

    Google Scholar 

  • Parzen, E., Stochastic Processes (1962). Holden-Day, San Francisco.

    MATH  Google Scholar 

  • Priestley, M. B. (1965). “Evolutionary Spectra and Nonstationary Processes”, Journal of Royal Statistical Society, B27, 204–228.

    MATH  MathSciNet  Google Scholar 

  • Schueller, G. I. and Scherer, R. J. (1985). “A Stochastic Earthquake Loading Model,” Proc. China-U.S.-Japan Trilatral Symposium Workshop on Engineering for Multiple Natural Hazard Mitigation, G-2-1 to 16.

    Google Scholar 

  • Shinozuka, M. and Brant, P. (1969). “Application of the Evolutionary Power Spectrum in Structural Dynamics”, Proceedings, ASCE-EMD Specialty Conference on Probabilistic Concepts and Methods, Purdue University, 12–14.

    Google Scholar 

  • Spanos, P. D. (1981). “Stochastic Linearization in Structural Dynamics,” Applied Mechanics Reviews, 34, 1–8.

    MathSciNet  Google Scholar 

  • Tajimi, H. (1960). “A Statistical Method of Determining the Maximum Response of a Building Structure during an Earthquake,” Proceedings, 2nd World Conference on Earthquake Engineering, Japan, 781–798.

    Google Scholar 

  • Wu, W. F., and Lin, Y. K. (1984). “Cumulant-Neglect Closure for Nonlinear Oscillators under Random Parametric and External Excitations,” International Journal of Nonlinear Mechanics, 19, 349–362.

    Article  MATH  MathSciNet  Google Scholar 

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© 1987 Springer-Verlag Berlin, Heidelberg

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Lin, Y.K., Yong, Y. (1987). Evolutionary Kanai-Tajimi Type Earthquake Models. 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_11

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  • DOI: https://doi.org/10.1007/978-3-642-83252-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18462-1

  • Online ISBN: 978-3-642-83252-9

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