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Experimental characterization of the textile-to-mortar bond through distributed optical sensors.

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Title: Experimental characterization of the textile-to-mortar bond through distributed optical sensors.
Authors: Bertolesi, Elisa1 (AUTHOR), Fagone, Mario2 (AUTHOR), Rotunno, Tommaso3 (AUTHOR), Grande, Ernesto4 (AUTHOR), Milani, Gabriele5 (AUTHOR)
Source: Construction & Building Materials. Apr2022, Vol. 326, pN.PAG-N.PAG. 1p.
Subjects: Distributed sensors, Optical sensors, Optical fiber detectors, Inorganic fibers, Materials testing
Abstract: [Display omitted] • The work presents the experimental characterization of the textile-to-mortar bond through distributed optical sensors. • The local FO strain evolutions from TRM/FRCM strengthening materials tested in single lap shear tests allowed the calibration of an interfacial bond-slip law. • The bond-slip law was used to calibrate different analytical models developed by the authors. TRM (Textile Reinforced Mortar) and FRCM (Fiber Reinforced Cementitious Mortar) strengthening materials are highly heterogeneous composites involving domains that have dramatically different mechanical properties (i.e., inorganic matrix and fabric textile). Maximizing their exploitation ratio involves achieving a better bond between textile and inorganic matrix which shifts the failure mode from textile sliding to textile rupture or cohesive failure modes. So far, the local bond behaviour between fiber bundles and inorganic matrix has been analysed indirectly through the evaluation of the global performance of TRM/FRCM materials subjected to tensile tests or single lap shear tests. In this article, the authors adopted distributed fiber optic sensors directly installed to textile bundles to track the strain evolutions of PBO-TRM strengthening materials. The strain evolutions were used, for the first time, (i) to understand the behaviour of TRM coupons subjected to tensile tests and (ii) to experimentally calibrate the interfacial tangential bond-slip law in flat masonry pillars strengthened with TRMs. The results allowed a better insight of the response of TRM materials not possible with traditional sensors and an accurate characterization of their bond performance. The interfacial tangential stress-slip law was then adopted in analytical models to predict the global performance of TRM materials providing satisfactory results compared with experimental outcomes. [ABSTRACT FROM AUTHOR]
Copyright of Construction & Building Materials is the property of Elsevier B.V. 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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Header DbId: egs
DbLabel: Engineering Source
An: 155752894
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Experimental characterization of the textile-to-mortar bond through distributed optical sensors.
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  Data: <searchLink fieldCode="AR" term="%22Bertolesi%2C+Elisa%22">Bertolesi, Elisa</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fagone%2C+Mario%22">Fagone, Mario</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rotunno%2C+Tommaso%22">Rotunno, Tommaso</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grande%2C+Ernesto%22">Grande, Ernesto</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Milani%2C+Gabriele%22">Milani, Gabriele</searchLink><relatesTo>5</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Construction+%26+Building+Materials%22">Construction & Building Materials</searchLink>. Apr2022, Vol. 326, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Distributed+sensors%22">Distributed sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+sensors%22">Optical sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Optical+fiber+detectors%22">Optical fiber detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Inorganic+fibers%22">Inorganic fibers</searchLink><br /><searchLink fieldCode="DE" term="%22Materials+testing%22">Materials testing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: [Display omitted] • The work presents the experimental characterization of the textile-to-mortar bond through distributed optical sensors. • The local FO strain evolutions from TRM/FRCM strengthening materials tested in single lap shear tests allowed the calibration of an interfacial bond-slip law. • The bond-slip law was used to calibrate different analytical models developed by the authors. TRM (Textile Reinforced Mortar) and FRCM (Fiber Reinforced Cementitious Mortar) strengthening materials are highly heterogeneous composites involving domains that have dramatically different mechanical properties (i.e., inorganic matrix and fabric textile). Maximizing their exploitation ratio involves achieving a better bond between textile and inorganic matrix which shifts the failure mode from textile sliding to textile rupture or cohesive failure modes. So far, the local bond behaviour between fiber bundles and inorganic matrix has been analysed indirectly through the evaluation of the global performance of TRM/FRCM materials subjected to tensile tests or single lap shear tests. In this article, the authors adopted distributed fiber optic sensors directly installed to textile bundles to track the strain evolutions of PBO-TRM strengthening materials. The strain evolutions were used, for the first time, (i) to understand the behaviour of TRM coupons subjected to tensile tests and (ii) to experimentally calibrate the interfacial tangential bond-slip law in flat masonry pillars strengthened with TRMs. The results allowed a better insight of the response of TRM materials not possible with traditional sensors and an accurate characterization of their bond performance. The interfacial tangential stress-slip law was then adopted in analytical models to predict the global performance of TRM materials providing satisfactory results compared with experimental outcomes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Construction & Building Materials is the property of Elsevier B.V. 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: 10.1016/j.conbuildmat.2022.126640
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Distributed sensors
        Type: general
      – SubjectFull: Optical sensors
        Type: general
      – SubjectFull: Optical fiber detectors
        Type: general
      – SubjectFull: Inorganic fibers
        Type: general
      – SubjectFull: Materials testing
        Type: general
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      – TitleFull: Experimental characterization of the textile-to-mortar bond through distributed optical sensors.
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            NameFull: Bertolesi, Elisa
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            NameFull: Fagone, Mario
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            NameFull: Rotunno, Tommaso
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            NameFull: Grande, Ernesto
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            NameFull: Milani, Gabriele
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            – D: 04
              M: 04
              Text: Apr2022
              Type: published
              Y: 2022
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              Value: 326
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