Hybrid Stochastic Model for Simulating Non‐Stationary Ground Motion Records.
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| Title: | Hybrid Stochastic Model for Simulating Non‐Stationary Ground Motion Records. |
|---|---|
| Authors: | Djouabi, Hamza1,2 (AUTHOR) hamza.djouabi@univ-djelfa.dz, Benahmed, Baizid1 (AUTHOR), Palanci, Mehmet3 (AUTHOR) |
| Source: | Earthquake Engineering & Structural Dynamics. Sep2025, Vol. 54 Issue 11, p2965-2980. 16p. |
| Subjects: | Ground motion, Accelerograms, Additive white Gaussian noise, Earthquake intensity, Frequency response, Monte Carlo method, Hybrid computer simulation, Frequency-domain analysis |
| Abstract: | This study presents an improved hybrid (empirical‐stochastic) model for simulating non‐stationary accelerograms based on filtered Gaussian white noise. A linear filter for the frequency domain and a modulating time function are used to generate a stochastic accelerogram based on target parameters. Arias intensity, strong‐motion duration, and the lag time between S waves and P waves are used for the modulating function calibration. Universal empirical equations linking the time domain strong motion parameters and that of the modulating function are developed based on mathematical properties (inflection points) of the modulating function. The cumulative energy of the resultant modulation functions is assessed and compared to the cumulative energy of the target accelerogram. The central frequency and frequency bandwidth, determined from the physical spectrum of the target, are utilized for identifying the parameters of the linear filter. Empirical equations governing the frequency and damping ratio of the linear filter are proposed based on the specified spectral parameters. Stochastic accelerograms are simulated using proposed equations, resulting in notable improvements in the regeneration of target frequency characteristics, response spectra, and cumulative energy, as evidenced by comparisons to target records. [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: 187256541 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Hybrid Stochastic Model for Simulating Non‐Stationary Ground Motion Records. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Djouabi%2C+Hamza%22">Djouabi, Hamza</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hamza.djouabi@univ-djelfa.dz</i><br /><searchLink fieldCode="AR" term="%22Benahmed%2C+Baizid%22">Benahmed, Baizid</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Palanci%2C+Mehmet%22">Palanci, Mehmet</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Earthquake+Engineering+%26+Structural+Dynamics%22">Earthquake Engineering & Structural Dynamics</searchLink>. Sep2025, Vol. 54 Issue 11, p2965-2980. 16p. – 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="%22Additive+white+Gaussian+noise%22">Additive white Gaussian noise</searchLink><br /><searchLink fieldCode="DE" term="%22Earthquake+intensity%22">Earthquake intensity</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency+response%22">Frequency response</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Hybrid+computer+simulation%22">Hybrid computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency-domain+analysis%22">Frequency-domain analysis</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This study presents an improved hybrid (empirical‐stochastic) model for simulating non‐stationary accelerograms based on filtered Gaussian white noise. A linear filter for the frequency domain and a modulating time function are used to generate a stochastic accelerogram based on target parameters. Arias intensity, strong‐motion duration, and the lag time between S waves and P waves are used for the modulating function calibration. Universal empirical equations linking the time domain strong motion parameters and that of the modulating function are developed based on mathematical properties (inflection points) of the modulating function. The cumulative energy of the resultant modulation functions is assessed and compared to the cumulative energy of the target accelerogram. The central frequency and frequency bandwidth, determined from the physical spectrum of the target, are utilized for identifying the parameters of the linear filter. Empirical equations governing the frequency and damping ratio of the linear filter are proposed based on the specified spectral parameters. Stochastic accelerograms are simulated using proposed equations, resulting in notable improvements in the regeneration of target frequency characteristics, response spectra, and cumulative energy, as evidenced by comparisons to target records. [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.70011 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 2965 Subjects: – SubjectFull: Ground motion Type: general – SubjectFull: Accelerograms Type: general – SubjectFull: Additive white Gaussian noise Type: general – SubjectFull: Earthquake intensity Type: general – SubjectFull: Frequency response Type: general – SubjectFull: Monte Carlo method Type: general – SubjectFull: Hybrid computer simulation Type: general – SubjectFull: Frequency-domain analysis Type: general Titles: – TitleFull: Hybrid Stochastic Model for Simulating Non‐Stationary Ground Motion Records. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Djouabi, Hamza – PersonEntity: Name: NameFull: Benahmed, Baizid – PersonEntity: Name: NameFull: Palanci, Mehmet IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00988847 Numbering: – Type: volume Value: 54 – Type: issue Value: 11 Titles: – TitleFull: Earthquake Engineering & Structural Dynamics Type: main |
| ResultId | 1 |
