Academic Journal

Optimized Fiber Element Modeling Strategy for Concrete-Encased Steel Composite Columns: Focusing on Material Nonlinearity and Confinement Effects.

Bibliographic Details
Title: Optimized Fiber Element Modeling Strategy for Concrete-Encased Steel Composite Columns: Focusing on Material Nonlinearity and Confinement Effects.
Authors: Ha, Seongjin
Source: Buildings (2075-5309); Mar2026, Vol. 16 Issue 5, p999, 13p
Subject Terms: Nonlinear analysis, Computer simulation, Concrete columns, Structural design, Structural analysis (Engineering), Mechanical behavior of materials, Nonlinear theories
Abstract: Reliable numerical simulation of concrete-encased steel (CES) composite columns remains challenging, and practical fiber-element modeling can be sensitive to confinement representation and to discretization and integration choices. Although CES columns offer superior structural performance, accurate simulation is difficult due to the complex interaction between steel and concrete under cyclic loading. Current seismic design codes, such as ASCE/SEI 41-17, often simplify modeling parameters by underestimating composite action, which can lead to uneconomical and overly conservative assessments that do not fully reflect the confining effect of the concrete encasement and the buckling restraint of the steel core. This study proposes a practical guideline for constructing an accurate analytical model for CES columns using nonlinear fiber-element analysis, with a specific focus on material constitutive laws. To validate the proposed strategy, nonlinear analyses were conducted and compared against a comprehensive database of 79 experimental specimens compiled from previous studies. The predicted-to-test peak strength ratio shows a mean of 1.02 (standard deviation of 0.058). Sensitivity studies indicate that responses stabilize beyond ~23 fibers (<1.5% error), reducing computation time by ~40% on average (from 52 to 23 fibers) compared with dense discretization while maintaining reliable hysteretic response prediction. [ABSTRACT FROM AUTHOR]
Copyright of Buildings (2075-5309) is the property of MDPI 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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  Data: Optimized Fiber Element Modeling Strategy for Concrete-Encased Steel Composite Columns: Focusing on Material Nonlinearity and Confinement Effects.
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  Data: Buildings (2075-5309); Mar2026, Vol. 16 Issue 5, p999, 13p
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– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Reliable numerical simulation of concrete-encased steel (CES) composite columns remains challenging, and practical fiber-element modeling can be sensitive to confinement representation and to discretization and integration choices. Although CES columns offer superior structural performance, accurate simulation is difficult due to the complex interaction between steel and concrete under cyclic loading. Current seismic design codes, such as ASCE/SEI 41-17, often simplify modeling parameters by underestimating composite action, which can lead to uneconomical and overly conservative assessments that do not fully reflect the confining effect of the concrete encasement and the buckling restraint of the steel core. This study proposes a practical guideline for constructing an accurate analytical model for CES columns using nonlinear fiber-element analysis, with a specific focus on material constitutive laws. To validate the proposed strategy, nonlinear analyses were conducted and compared against a comprehensive database of 79 experimental specimens compiled from previous studies. The predicted-to-test peak strength ratio shows a mean of 1.02 (standard deviation of 0.058). Sensitivity studies indicate that responses stabilize beyond ~23 fibers (&lt;1.5% error), reducing computation time by ~40% on average (from 52 to 23 fibers) compared with dense discretization while maintaining reliable hysteretic response prediction. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of Buildings (2075-5309) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.3390/buildings16050999
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 13
        StartPage: 999
    Subjects:
      – SubjectFull: Nonlinear analysis
        Type: general
      – SubjectFull: Computer simulation
        Type: general
      – SubjectFull: Concrete columns
        Type: general
      – SubjectFull: Structural design
        Type: general
      – SubjectFull: Structural analysis (Engineering)
        Type: general
      – SubjectFull: Mechanical behavior of materials
        Type: general
      – SubjectFull: Nonlinear theories
        Type: general
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      – TitleFull: Optimized Fiber Element Modeling Strategy for Concrete-Encased Steel Composite Columns: Focusing on Material Nonlinearity and Confinement Effects.
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          Name:
            NameFull: Ha, Seongjin
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          Dates:
            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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            – TitleFull: Buildings (2075-5309)
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