Generation of artificial earthquake accelerograms compatible with mean and mean ± standard deviation

Pierfrancesco Cacciola; Irmela Zentner

doi:10.3850/978-981-08-7619-7_P014

Generation of artificial earthquake accelerograms compatible with mean and mean ± standard deviation

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

The sustained dissemination of database of recorded accelerograms along with the increasing number of strong-motion networks installed worldwide revealed that the current methodologies for simulating artificial earthquakes possess the drawback that the simulated time-histories do not manifest the variability observed for natural accelerograms. As a consequence, the dispersion of resulting structural response analysis can be underestimated. In order to take into account the natural variability of earthquakes, a methodology for simulating artificial earthquake accelerograms matching mean and mean ± standard deviation response spectra is proposed in this paper. This dispersion can be determined from attenuation relationships or evaluated from selected accelerograms of a strong-motion database. The procedure requires the definition of an evolutionary response-spectrum-compatible power spectral density function with random parameters. The simulated ground motion time-histories will manifest variability so that one observed in natural records.

Original language	English
Title of host publication	Proceedings of the Sixth International Conference on Computational Stochastic Mechanics (CSM6)
Editors	G. Deodatis, P.D. Spanos
Place of Publication	Singapore
Publisher	Research Publishing
Pages	0-0
Number of pages	1
ISBN (Print)	9789810876197
DOIs	https://doi.org/10.3850/978-981-08-7619-7_P014
Publication status	Published - 1 Jun 2010
Event	Proceedings of the Sixth International Conference on Computational Stochastic Mechanics (CSM6) - Rhodes, Greece, 13-16 June, 2010 Duration: 1 Jun 2010 → …

Conference

Conference	Proceedings of the Sixth International Conference on Computational Stochastic Mechanics (CSM6)
Period	1/06/10 → …

Keywords

Ground motion
Variability
Response spectra
Simulation

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Cite this

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title = "Generation of artificial earthquake accelerograms compatible with mean and mean ± standard deviation",

abstract = "The sustained dissemination of database of recorded accelerograms along with the increasing number of strong-motion networks installed worldwide revealed that the current methodologies for simulating artificial earthquakes possess the drawback that the simulated time-histories do not manifest the variability observed for natural accelerograms. As a consequence, the dispersion of resulting structural response analysis can be underestimated. In order to take into account the natural variability of earthquakes, a methodology for simulating artificial earthquake accelerograms matching mean and mean ± standard deviation response spectra is proposed in this paper. This dispersion can be determined from attenuation relationships or evaluated from selected accelerograms of a strong-motion database. The procedure requires the definition of an evolutionary response-spectrum-compatible power spectral density function with random parameters. The simulated ground motion time-histories will manifest variability so that one observed in natural records.",

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Cacciola, P & Zentner, I 2010, Generation of artificial earthquake accelerograms compatible with mean and mean ± standard deviation. in G Deodatis & PD Spanos (eds), Proceedings of the Sixth International Conference on Computational Stochastic Mechanics (CSM6). Research Publishing, Singapore, pp. 0-0, Proceedings of the Sixth International Conference on Computational Stochastic Mechanics (CSM6), 1/06/10. https://doi.org/10.3850/978-981-08-7619-7_P014

Generation of artificial earthquake accelerograms compatible with mean and mean ± standard deviation. / Cacciola, Pierfrancesco; Zentner, Irmela.
Proceedings of the Sixth International Conference on Computational Stochastic Mechanics (CSM6). ed. / G. Deodatis; P.D. Spanos. Singapore: Research Publishing, 2010. p. 0-0.

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

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N2 - The sustained dissemination of database of recorded accelerograms along with the increasing number of strong-motion networks installed worldwide revealed that the current methodologies for simulating artificial earthquakes possess the drawback that the simulated time-histories do not manifest the variability observed for natural accelerograms. As a consequence, the dispersion of resulting structural response analysis can be underestimated. In order to take into account the natural variability of earthquakes, a methodology for simulating artificial earthquake accelerograms matching mean and mean ± standard deviation response spectra is proposed in this paper. This dispersion can be determined from attenuation relationships or evaluated from selected accelerograms of a strong-motion database. The procedure requires the definition of an evolutionary response-spectrum-compatible power spectral density function with random parameters. The simulated ground motion time-histories will manifest variability so that one observed in natural records.

AB - The sustained dissemination of database of recorded accelerograms along with the increasing number of strong-motion networks installed worldwide revealed that the current methodologies for simulating artificial earthquakes possess the drawback that the simulated time-histories do not manifest the variability observed for natural accelerograms. As a consequence, the dispersion of resulting structural response analysis can be underestimated. In order to take into account the natural variability of earthquakes, a methodology for simulating artificial earthquake accelerograms matching mean and mean ± standard deviation response spectra is proposed in this paper. This dispersion can be determined from attenuation relationships or evaluated from selected accelerograms of a strong-motion database. The procedure requires the definition of an evolutionary response-spectrum-compatible power spectral density function with random parameters. The simulated ground motion time-histories will manifest variability so that one observed in natural records.

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KW - Variability

KW - Response spectra

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M3 - Conference contribution with ISSN or ISBN

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T2 - Proceedings of the Sixth International Conference on Computational Stochastic Mechanics (CSM6)

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ER -

Generation of artificial earthquake accelerograms compatible with mean and mean ± standard deviation

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Keywords

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