Probabilistic generation of hazard‐consistent suites of fully non‐stationary seismic records.
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| Title: | Probabilistic generation of hazard‐consistent suites of fully non‐stationary seismic records. |
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| Authors: | Yanni, Hera1 (AUTHOR), Fragiadakis, Michalis1 (AUTHOR) mfrag@mail.ntua.gr, Mitseas, Ioannis P.1,2 (AUTHOR) |
| Source: | Earthquake Engineering & Structural Dynamics. Aug2024, Vol. 53 Issue 10, p3140-3164. 25p. |
| Subjects: | Ground motion, Accelerograms, Earthquake engineering, Hazard mitigation |
| Abstract: | A novel, practical, and computationally efficient probabilistic methodology for the stochastic generation of suites of fully non‐stationary artificial accelerograms is presented. The proposed methodology ensures that the produced ground motion suites match a given target spectral mean and target variability for the whole period range of interest. This is achieved by first producing an ensemble of random target spectra with the given mean and variability and then using them to generate artificial, target spectrum‐compatible, acceleration time‐histories with spectral representation techniques. Spectral correlation can also be assumed for the generated ground motion spectra. Based on the same backbone, two different formulations are proposed for generating spectrum‐compatible acceleration time‐histories of the non‐stationary kind. The distinction between these two variants lies in the techniques employed for modeling the temporal and spectral modulation, focusing on the site‐compatibility of the produced records. The first approach uses past‐recorded seismic accelerograms as seed records, and the second proposes and uses a new, probabilistic time‐frequency modulating function. The outcome of the proposed methodology is suites containing site‐compatible ground motion time‐histories whose spectral mean and variability match those obtained from any of the usually employed target spectra used in the earthquake engineering practice. An online tool implementing the proposed methodology is also freely provided. [ABSTRACT FROM AUTHOR] |
| Copyright of Earthquake Engineering & Structural Dynamics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 178396270 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Probabilistic generation of hazard‐consistent suites of fully non‐stationary seismic records. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yanni%2C+Hera%22">Yanni, Hera</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fragiadakis%2C+Michalis%22">Fragiadakis, Michalis</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mfrag@mail.ntua.gr</i><br /><searchLink fieldCode="AR" term="%22Mitseas%2C+Ioannis+P%2E%22">Mitseas, Ioannis P.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Earthquake+Engineering+%26+Structural+Dynamics%22">Earthquake Engineering & Structural Dynamics</searchLink>. Aug2024, Vol. 53 Issue 10, p3140-3164. 25p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Ground+motion%22">Ground motion</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerograms%22">Accelerograms</searchLink><br /><searchLink fieldCode="DE" term="%22Earthquake+engineering%22">Earthquake engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Hazard+mitigation%22">Hazard mitigation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A novel, practical, and computationally efficient probabilistic methodology for the stochastic generation of suites of fully non‐stationary artificial accelerograms is presented. The proposed methodology ensures that the produced ground motion suites match a given target spectral mean and target variability for the whole period range of interest. This is achieved by first producing an ensemble of random target spectra with the given mean and variability and then using them to generate artificial, target spectrum‐compatible, acceleration time‐histories with spectral representation techniques. Spectral correlation can also be assumed for the generated ground motion spectra. Based on the same backbone, two different formulations are proposed for generating spectrum‐compatible acceleration time‐histories of the non‐stationary kind. The distinction between these two variants lies in the techniques employed for modeling the temporal and spectral modulation, focusing on the site‐compatibility of the produced records. The first approach uses past‐recorded seismic accelerograms as seed records, and the second proposes and uses a new, probabilistic time‐frequency modulating function. The outcome of the proposed methodology is suites containing site‐compatible ground motion time‐histories whose spectral mean and variability match those obtained from any of the usually employed target spectra used in the earthquake engineering practice. An online tool implementing the proposed methodology is also freely provided. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Earthquake Engineering & Structural Dynamics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/eqe.4153 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 25 StartPage: 3140 Subjects: – SubjectFull: Ground motion Type: general – SubjectFull: Accelerograms Type: general – SubjectFull: Earthquake engineering Type: general – SubjectFull: Hazard mitigation Type: general Titles: – TitleFull: Probabilistic generation of hazard‐consistent suites of fully non‐stationary seismic records. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yanni, Hera – PersonEntity: Name: NameFull: Fragiadakis, Michalis – PersonEntity: Name: NameFull: Mitseas, Ioannis P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 00988847 Numbering: – Type: volume Value: 53 – Type: issue Value: 10 Titles: – TitleFull: Earthquake Engineering & Structural Dynamics Type: main |
| ResultId | 1 |