Sensing-Based Simulation of Bending Moments in Reinforced Concrete Columns.

Saved in:
Bibliographic Details
Title: Sensing-Based Simulation of Bending Moments in Reinforced Concrete Columns.
Authors: Iranmanesh, Amir1, Panahi, Mahsa2, Ansari, Farhad3
Source: ACI Structural Journal. May2026, Vol. 123 Issue 3, p81-94. 14p.
Subjects: Bending moment, Concrete columns, Deformations (Mechanics), Fiber Bragg gratings, Structural health monitoring, Ground motion, Damage models
Abstract: Integrating real-time sensor data with physics-based models enhances the accuracy and efficiency of structural simulation and prognosis. In this study, a sensing-based simulation method is introduced to compute bending moments in reinforced concrete bridge columns subjected to seismic motions, based on the measured strains continuously fed into plasticity models. The experimental program included hybrid testing of scaled reinforced concrete bridges under consecutive seismic events. The experimental columns were instrumented with embedded as well as surface-adhered fiber-optic Bragg grating (FBG) sensors for real-time monitoring of strains, reflecting degradation of the columns during the formation of damage. The fundamental assumption of strain compatibility in reinforced concrete members was investigated for the successive progression of damage in the cross sections of the columns. The stress distributions within the concrete core and cover were computed through the confined and unconfined concrete stress-strain relations for loading, unloading, and reloading scenarios. The bending moments in the cross section were computed and compared with the corresponding experimental values calculated based on direct measurements of forces. The results from this study revealed that the cross-sectional strains exhibit three primary features during the seismic events that need to be considered for the accurate calculation of bending moments. Computation of the bending moments requires consideration of the shifts in cyclic reference, post-event residual strains, and real steel strains. Using these features, the computed bending moments during the column tests mimicked the experimental results based on the measured seismic forces on the columns. [ABSTRACT FROM AUTHOR]
Copyright of ACI Structural Journal is the property of American Concrete Institute 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 Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 193466876
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Sensing-Based Simulation of Bending Moments in Reinforced Concrete Columns.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Iranmanesh%2C+Amir%22">Iranmanesh, Amir</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Panahi%2C+Mahsa%22">Panahi, Mahsa</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ansari%2C+Farhad%22">Ansari, Farhad</searchLink><relatesTo>3</relatesTo>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22ACI+Structural+Journal%22">ACI Structural Journal</searchLink>. May2026, Vol. 123 Issue 3, p81-94. 14p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Bending+moment%22">Bending moment</searchLink><br /><searchLink fieldCode="DE" term="%22Concrete+columns%22">Concrete columns</searchLink><br /><searchLink fieldCode="DE" term="%22Deformations+%28Mechanics%29%22">Deformations (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Fiber+Bragg+gratings%22">Fiber Bragg gratings</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+health+monitoring%22">Structural health monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Ground+motion%22">Ground motion</searchLink><br /><searchLink fieldCode="DE" term="%22Damage+models%22">Damage models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Integrating real-time sensor data with physics-based models enhances the accuracy and efficiency of structural simulation and prognosis. In this study, a sensing-based simulation method is introduced to compute bending moments in reinforced concrete bridge columns subjected to seismic motions, based on the measured strains continuously fed into plasticity models. The experimental program included hybrid testing of scaled reinforced concrete bridges under consecutive seismic events. The experimental columns were instrumented with embedded as well as surface-adhered fiber-optic Bragg grating (FBG) sensors for real-time monitoring of strains, reflecting degradation of the columns during the formation of damage. The fundamental assumption of strain compatibility in reinforced concrete members was investigated for the successive progression of damage in the cross sections of the columns. The stress distributions within the concrete core and cover were computed through the confined and unconfined concrete stress-strain relations for loading, unloading, and reloading scenarios. The bending moments in the cross section were computed and compared with the corresponding experimental values calculated based on direct measurements of forces. The results from this study revealed that the cross-sectional strains exhibit three primary features during the seismic events that need to be considered for the accurate calculation of bending moments. Computation of the bending moments requires consideration of the shifts in cyclic reference, post-event residual strains, and real steel strains. Using these features, the computed bending moments during the column tests mimicked the experimental results based on the measured seismic forces on the columns. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of ACI Structural Journal is the property of American Concrete Institute 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193466876
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.14359/51749316
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 14
        StartPage: 81
    Subjects:
      – SubjectFull: Bending moment
        Type: general
      – SubjectFull: Concrete columns
        Type: general
      – SubjectFull: Deformations (Mechanics)
        Type: general
      – SubjectFull: Fiber Bragg gratings
        Type: general
      – SubjectFull: Structural health monitoring
        Type: general
      – SubjectFull: Ground motion
        Type: general
      – SubjectFull: Damage models
        Type: general
    Titles:
      – TitleFull: Sensing-Based Simulation of Bending Moments in Reinforced Concrete Columns.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Iranmanesh, Amir
      – PersonEntity:
          Name:
            NameFull: Panahi, Mahsa
      – PersonEntity:
          Name:
            NameFull: Ansari, Farhad
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 08893241
          Numbering:
            – Type: volume
              Value: 123
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: ACI Structural Journal
              Type: main
ResultId 1