A generalised severity number to predict liquefaction damage with lateral spreading.

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Title: A generalised severity number to predict liquefaction damage with lateral spreading.
Authors: Paolella, Luca1, Modoni, Giuseppe1, Spacagna, Rose Line1, Baris, Anna1
Source: Géotechnique. Oct2023, Vol. 73 Issue 10, p849-870. 22p.
Subjects: Soil liquefaction, Cone penetration tests, Earthquake damage, Geographic information systems, Specific gravity, Digital elevation models
Geographic Terms: Christchurch (N.Z.)
Abstract: This study introduces a generalisation of the classical one-dimensional liquefaction severity indexes to extend their predictive capability for the occurrence of lateral spreading. After a critical overview of the most used indexes, the rationale for extension to bi-dimensional conditions determined by non-horizontal geomorphology is presented, together with the rule to achieve generalisation. The efficacy of the new index is demonstrated with a performance-based study on two cases, the earthquakes of 20 May 2012 (Mw 6·1) at Terre del Reno (Emilia-Romagna, Italy) and 11 February 2011 (Mw = 6·2) at Christchurch (New Zealand). Stratigraphic attributes including thickness, depth, composition and relative density of the liquefiable layers, obtained over the whole territories from rich datasets of cone penetration tests, are coupled with topographic information derived from the digital elevation model to provide the input for the analysis. Consistency assessment and spatial interpolation of data are carried out with geostatistical tools implemented in a geographic information system platform. Validation against a post-earthquake damage survey, quantified with a binary classification method, shows the paramount role of the bi-dimensional conditions. [ABSTRACT FROM AUTHOR]
Copyright of Géotechnique is the property of Thomas Telford Ltd 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
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DbLabel: Engineering Source
An: 171955661
AccessLevel: 6
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  Data: A generalised severity number to predict liquefaction damage with lateral spreading.
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  Data: <searchLink fieldCode="JN" term="%22Géotechnique%22">Géotechnique</searchLink>. Oct2023, Vol. 73 Issue 10, p849-870. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Soil+liquefaction%22">Soil liquefaction</searchLink><br /><searchLink fieldCode="DE" term="%22Cone+penetration+tests%22">Cone penetration tests</searchLink><br /><searchLink fieldCode="DE" term="%22Earthquake+damage%22">Earthquake damage</searchLink><br /><searchLink fieldCode="DE" term="%22Geographic+information+systems%22">Geographic information systems</searchLink><br /><searchLink fieldCode="DE" term="%22Specific+gravity%22">Specific gravity</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+elevation+models%22">Digital elevation models</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Christchurch+%28N%2EZ%2E%29%22">Christchurch (N.Z.)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study introduces a generalisation of the classical one-dimensional liquefaction severity indexes to extend their predictive capability for the occurrence of lateral spreading. After a critical overview of the most used indexes, the rationale for extension to bi-dimensional conditions determined by non-horizontal geomorphology is presented, together with the rule to achieve generalisation. The efficacy of the new index is demonstrated with a performance-based study on two cases, the earthquakes of 20 May 2012 (Mw 6·1) at Terre del Reno (Emilia-Romagna, Italy) and 11 February 2011 (Mw = 6·2) at Christchurch (New Zealand). Stratigraphic attributes including thickness, depth, composition and relative density of the liquefiable layers, obtained over the whole territories from rich datasets of cone penetration tests, are coupled with topographic information derived from the digital elevation model to provide the input for the analysis. Consistency assessment and spatial interpolation of data are carried out with geostatistical tools implemented in a geographic information system platform. Validation against a post-earthquake damage survey, quantified with a binary classification method, shows the paramount role of the bi-dimensional conditions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Géotechnique is the property of Thomas Telford Ltd 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: 10.1680/jgeot.21.00006
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 22
        StartPage: 849
    Subjects:
      – SubjectFull: Soil liquefaction
        Type: general
      – SubjectFull: Cone penetration tests
        Type: general
      – SubjectFull: Earthquake damage
        Type: general
      – SubjectFull: Geographic information systems
        Type: general
      – SubjectFull: Specific gravity
        Type: general
      – SubjectFull: Digital elevation models
        Type: general
      – SubjectFull: Christchurch (N.Z.)
        Type: general
    Titles:
      – TitleFull: A generalised severity number to predict liquefaction damage with lateral spreading.
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          Name:
            NameFull: Paolella, Luca
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            NameFull: Modoni, Giuseppe
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            NameFull: Spacagna, Rose Line
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            NameFull: Baris, Anna
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            – D: 01
              M: 10
              Text: Oct2023
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              Y: 2023
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