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On Improving Correlation in Ground Motion Selection.

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Title: On Improving Correlation in Ground Motion Selection.
Authors: Vats, Falak1 (AUTHOR) fvats@iitj.ac.in
Source: Earthquake Engineering & Structural Dynamics. 7/25/2026, Vol. 55 Issue 9, p1942-1946. 5p.
Subjects: Marginal distributions, Analysis of covariance, Accelerograms, Simulation methods & models, Computer simulation
Abstract: Ground motion selection methods simulate target intensity measure (IM) vectors and then select best‐fit records to capture the joint distribution of IMs. These approaches perform reasonably well for cases with a large number of records, but the marginal statistics and the correlation/covariance structure often depart from the target when sample sizes are small. Further, unlike the marginal parameters, the correlation is generally not considered in the final selection in the replicate‐selection and greedy optimization approaches. Recent studies have shown that such deviations and their effect can be substantial. In this study, an "accelerated" simulation procedure originally developed to generate correlated demand vectors is adapted for ground‐motion selection. The method captures both marginal statistics and the correlation structure exactly in the simulated IM sets, regardless of simulation size. Further, if the record library is robust, the marginal statistics and correlation are effectively carried through to the selected suite. Sample illustrations using NGA‐West2 records demonstrate that the proposed modification substantially improves marginal statistics and correlation/covariance consistency in selected suites, without requiring any change to the rest of the established selection process. [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.)
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PubType: Academic Journal
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  Data: On Improving Correlation in Ground Motion Selection.
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  Data: <searchLink fieldCode="JN" term="%22Earthquake+Engineering+%26+Structural+Dynamics%22">Earthquake Engineering & Structural Dynamics</searchLink>. 7/25/2026, Vol. 55 Issue 9, p1942-1946. 5p.
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  Data: <searchLink fieldCode="DE" term="%22Marginal+distributions%22">Marginal distributions</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+covariance%22">Analysis of covariance</searchLink><br /><searchLink fieldCode="DE" term="%22Accelerograms%22">Accelerograms</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink>
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  Data: Ground motion selection methods simulate target intensity measure (IM) vectors and then select best‐fit records to capture the joint distribution of IMs. These approaches perform reasonably well for cases with a large number of records, but the marginal statistics and the correlation/covariance structure often depart from the target when sample sizes are small. Further, unlike the marginal parameters, the correlation is generally not considered in the final selection in the replicate‐selection and greedy optimization approaches. Recent studies have shown that such deviations and their effect can be substantial. In this study, an "accelerated" simulation procedure originally developed to generate correlated demand vectors is adapted for ground‐motion selection. The method captures both marginal statistics and the correlation structure exactly in the simulated IM sets, regardless of simulation size. Further, if the record library is robust, the marginal statistics and correlation are effectively carried through to the selected suite. Sample illustrations using NGA‐West2 records demonstrate that the proposed modification substantially improves marginal statistics and correlation/covariance consistency in selected suites, without requiring any change to the rest of the established selection process. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  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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        Value: 10.1002/eqe.70178
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      – Code: eng
        Text: English
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        PageCount: 5
        StartPage: 1942
    Subjects:
      – SubjectFull: Marginal distributions
        Type: general
      – SubjectFull: Analysis of covariance
        Type: general
      – SubjectFull: Accelerograms
        Type: general
      – SubjectFull: Simulation methods & models
        Type: general
      – SubjectFull: Computer simulation
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      – TitleFull: On Improving Correlation in Ground Motion Selection.
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              M: 07
              Text: 7/25/2026
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              Y: 2026
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