Stochastic nature of earthquake ground motion

作者: Srđan Kostić , Nebojša Vasović , Matjaž Perc , Marinko Toljić , Dobrica Nikolić

DOI: 10.1016/J.PHYSA.2013.04.045

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摘要: Abstract In this paper, we analyze the irregular behavior of earthquake ground motion as recorded during Kraljevo M5.4 earthquake, which occurred on November 3rd, 2010 in Serbia. We perform analysis for accelerations at 6 seismological stations: Grua, Ruda, Rada, Bara, Zaga and Bdva. The latter were carefully chosen based their corresponding tectonic zone local geological setting. For each station, horizontal component acceleration north–south direction, is one primary interest engineering design. employ surrogate data testing methods nonlinear time series analysis. obtained results indicate that strong are stochastic, particular belonging to a class linear stationary stochastic processes with Gaussian inputs or distorted by monotonic, instantaneous, time-independent function. This type detected regardless setting conditions. revealed nature disagreement frequently assumed deterministically chaotic motion.

参考文章(49)
Kojiro Irikura, Semi-Empirical Estimation of Strong Ground Motions During Large Earthquakes Bulletin of the Disaster Prevention Research Institute. ,vol. 33, pp. 63- 104 ,(1983)
Floris Takens, Detecting strange attractors in turbulence Lecture Notes in Mathematics. ,vol. 898, pp. 366- 381 ,(1981) , 10.1007/BFB0091924
Katsuhiro Kamae, Pierre-Yves Bard, Kojiro Irikura, Prediction of strong ground motion at EURO-SEISTEST site using the empirical Green's function method Journal of Seismology. ,vol. 2, pp. 193- 207 ,(1998) , 10.1023/A:1009798704146
Kevin T. Dolan, Mark L. Spano, Surrogate for nonlinear time series analysis. Physical Review E. ,vol. 64, pp. 046128- ,(2001) , 10.1103/PHYSREVE.64.046128
DIXIONG YANG, PIXIN YANG, CHANGGENG ZHANG, CHAOTIC CHARACTERISTIC ANALYSIS OF STRONG EARTHQUAKE GROUND MOTIONS International Journal of Bifurcation and Chaos. ,vol. 22, pp. 1250045- ,(2012) , 10.1142/S0218127412500459
Joel N. Tenenbaum, Shlomo Havlin, H. Eugene Stanley, Earthquake networks based on similar activity patterns. Physical Review E. ,vol. 86, pp. 046107- 046107 ,(2012) , 10.1103/PHYSREVE.86.046107
Stane Kodba, Matjaž Perc, Marko Marhl, Detecting chaos from a time series European Journal of Physics. ,vol. 26, pp. 205- 215 ,(2005) , 10.1088/0143-0807/26/1/021
R. Donner, S. Barbosa, J. Kurths, N. Marwan, Understanding the Earth as a Complex System – recent advances in data analysis and modelling in Earth sciences The European Physical Journal Special Topics. ,vol. 174, pp. 1- 9 ,(2009) , 10.1140/EPJST/E2009-01086-6
J. M. Carlson, J. S. Langer, Mechanical model of an earthquake fault Physical Review A. ,vol. 40, pp. 6470- 6484 ,(1989) , 10.1103/PHYSREVA.40.6470
G.P. PAVLOS, L. KARAKATSANIS, J.B. LATOUSSAKIS, D. DIALETIS, G. PAPAIOANNOU, CHAOTIC ANALYSIS OF A TIME SERIES COMPOSED OF SEISMIC EVENTS RECORDED IN JAPAN International Journal of Bifurcation and Chaos. ,vol. 04, pp. 87- 98 ,(1994) , 10.1142/S0218127494000071