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Settlements and angular distortions of shallow foundations on liquefiable soil.

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Title: Settlements and angular distortions of shallow foundations on liquefiable soil.
Authors: Baris, Anna1 (AUTHOR) anna.baris@unicas.it, Modoni, Giuseppe1 (AUTHOR), Paolella, Luca1 (AUTHOR), Salvatore, Erminio1 (AUTHOR), Spacagna, Rose Line1 (AUTHOR)
Source: Bulletin of Earthquake Engineering. Jan2023, Vol. 21 Issue 1, p177-206. 30p.
Subject Terms: *Shallow foundations, *Ground motion, *Bearing capacity of soils, *Subsoils, *Numerical calculations, *Numerical analysis, *Soils
Abstract: The extensive injury caused to buildings by liquefaction during past earthquakes, with the uneven spatial distribution of damage, raises the need for rapid predictive tools, applicable at a large scale, that comprehensively account for the properties of earthquake, subsoil and structure. A method is herein proposed to quantify the angular distortion of framed low-rise buildings based on a simple characterization of the above factors. The analysis moves from past literature criteria introduced to quantify the vulnerability of buildings under static conditions and extends their applicability to liquefaction assessment integrating parametric two-dimensional numerical analyses with recent literature predictive formulas and machine learning inference. The numerical calculation, performed for variable stratigraphic and mechanical characteristics of the subsoil, ground motion and equivalent flexural stiffness of the foundation, quantifies the role of each factor on the absolute settlement and angular distortion. Then the dependency on the different factors of the angular distortion is inferred with an artificial neural network, grouping parameters to limit the number of input variables and express results with charts that make prediction more accessible. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 161191176
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PubTypeId: academicJournal
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  Data: Settlements and angular distortions of shallow foundations on liquefiable soil.
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  Data: <searchLink fieldCode="AR" term="%22Baris%2C+Anna%22">Baris, Anna</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> anna.baris@unicas.it</i><br /><searchLink fieldCode="AR" term="%22Modoni%2C+Giuseppe%22">Modoni, Giuseppe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Paolella%2C+Luca%22">Paolella, Luca</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salvatore%2C+Erminio%22">Salvatore, Erminio</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Spacagna%2C+Rose+Line%22">Spacagna, Rose Line</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Bulletin+of+Earthquake+Engineering%22">Bulletin of Earthquake Engineering</searchLink>. Jan2023, Vol. 21 Issue 1, p177-206. 30p.
– Name: Subject
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  Data: *<searchLink fieldCode="DE" term="%22Shallow+foundations%22">Shallow foundations</searchLink><br />*<searchLink fieldCode="DE" term="%22Ground+motion%22">Ground motion</searchLink><br />*<searchLink fieldCode="DE" term="%22Bearing+capacity+of+soils%22">Bearing capacity of soils</searchLink><br />*<searchLink fieldCode="DE" term="%22Subsoils%22">Subsoils</searchLink><br />*<searchLink fieldCode="DE" term="%22Numerical+calculations%22">Numerical calculations</searchLink><br />*<searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Soils%22">Soils</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The extensive injury caused to buildings by liquefaction during past earthquakes, with the uneven spatial distribution of damage, raises the need for rapid predictive tools, applicable at a large scale, that comprehensively account for the properties of earthquake, subsoil and structure. A method is herein proposed to quantify the angular distortion of framed low-rise buildings based on a simple characterization of the above factors. The analysis moves from past literature criteria introduced to quantify the vulnerability of buildings under static conditions and extends their applicability to liquefaction assessment integrating parametric two-dimensional numerical analyses with recent literature predictive formulas and machine learning inference. The numerical calculation, performed for variable stratigraphic and mechanical characteristics of the subsoil, ground motion and equivalent flexural stiffness of the foundation, quantifies the role of each factor on the absolute settlement and angular distortion. Then the dependency on the different factors of the angular distortion is inferred with an artificial neural network, grouping parameters to limit the number of input variables and express results with charts that make prediction more accessible. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=161191176
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10518-022-01536-3
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 30
        StartPage: 177
    Subjects:
      – SubjectFull: Shallow foundations
        Type: general
      – SubjectFull: Ground motion
        Type: general
      – SubjectFull: Bearing capacity of soils
        Type: general
      – SubjectFull: Subsoils
        Type: general
      – SubjectFull: Numerical calculations
        Type: general
      – SubjectFull: Numerical analysis
        Type: general
      – SubjectFull: Soils
        Type: general
    Titles:
      – TitleFull: Settlements and angular distortions of shallow foundations on liquefiable soil.
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          Name:
            NameFull: Baris, Anna
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            NameFull: Modoni, Giuseppe
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            NameFull: Paolella, Luca
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            NameFull: Salvatore, Erminio
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            NameFull: Spacagna, Rose Line
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          Dates:
            – D: 01
              M: 01
              Text: Jan2023
              Type: published
              Y: 2023
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              Value: 21
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              Value: 1
          Titles:
            – TitleFull: Bulletin of Earthquake Engineering
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