<div class="csl-bib-body">
<div class="csl-entry">Zhao, J., Fan, B., Liebscher, M., Mechtcherine, V., & Zernsdorf, K. (2025). Influence of Embedment Length on the Bond Performance of mineral-impregnated Carbon Fiber Reinforcements in fine-grained Concrete. In L. Eberhardsteiner, B. Hofko, & R. Blab (Eds.), <i>Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria</i> (pp. 91–94). TU Wien, E230-03 Road Engineering. https://doi.org/10.34726/10658</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/219047
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dc.identifier.uri
https://doi.org/10.34726/10658
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dc.description.abstract
Mineral-impregnated carbon fibers (MCFs) represent an innovative reinforcement system that integrates high-performance fibers with inorganic matrices, offering superior thermal resistance, enhanced bonding with cementitious substrates, improved cost efficiency, and remarkable versatility and multifunctionality for advanced structural applications. As a promising alternative to traditional steel and fiber-reinforced polymer (FRP) systems, MCFs address critical limitations in thermal performance and concrete’s compatibility. A key factor influencing the engineering performance of reinforced concrete structures is the embedment length of the MCF reinforcement for reliable structural design. This study investigates the bond behavior of geopolymer (GP)-based MCF reinforcements in concrete numerically and experimentally, with a focus on the influence of embedment length. Experimental pullout tests revealed a bond stress–slip relationship (BSR) characterized by a linear elastic phase, exponential softening during debonding and stabilization at residual frictional stress levels. Longer embedment lengths improved energy absorption but resulted in reductions in maximum bond stress due to non-uniform stress distribution. Numerical simulations employing a spring element model accurately replicated experimental data, providing an efficient predictive tool for analyzing bond behavior. These findings establish a solid framework for optimizing the bond performance of MCFs and advancing their application in high-performance, resilient structural systems.
en
dc.language.iso
en
-
dc.relation.ispartofseries
Advances in Materials and Pavements Performance Prediction
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dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
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dc.subject
Bond stress–slip relationship
en
dc.subject
mineral impregnation
en
dc.subject
numerical simulation
en
dc.subject
geopolymer
en
dc.subject
concrete reinforcements
en
dc.title
Influence of Embedment Length on the Bond Performance of mineral-impregnated Carbon Fiber Reinforcements in fine-grained Concrete
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.identifier.doi
10.34726/10658
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dc.contributor.affiliation
Technische Universität Dresden, Germany
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dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Technische Universität Dresden, Germany
-
dc.contributor.affiliation
Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences, Germany
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dc.relation.isbn
978-3-901912-99-3
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dc.relation.doi
10.34726/9259
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dc.description.startpage
91
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dc.description.endpage
94
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dc.rights.holder
TU Wien, E230-03 Road Engineering
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Advances in Materials and Pavement Performance Prediction IV : Contributions to the 4th International Conference on Advances in Materials and Pavement Performance Prediction (AM3P 2025), 7-9 May 2025, Vienna, Austria
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tuw.container.volume
IV
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
Advances in Materials and Pavements Performance Prediction
-
tuw.relation.publisher
TU Wien, E230-03 Road Engineering
-
tuw.relation.publisherplace
Wien
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tuw.researchTopic.id
C6
-
tuw.researchTopic.id
M8
-
tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Structure-Property Relationsship
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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tuw.publication.orgunit
E000 - Technische Universität Wien
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dc.identifier.libraryid
AC17637726
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dc.description.numberOfPages
4
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tuw.author.orcid
0000-0001-5709-6486
-
tuw.author.orcid
0009-0008-9042-5630
-
tuw.author.orcid
0000-0003-4054-6414
-
tuw.author.orcid
0000-0002-4685-7064
-
tuw.author.orcid
0009-0000-8688-1395
-
dc.rights.identifier
CC BY 4.0
en
dc.rights.identifier
CC BY 4.0
de
tuw.editor.orcid
0000-0003-2153-9315
-
tuw.editor.orcid
0000-0002-8329-8687
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tuw.editor.orcid
0000-0003-4101-1964
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tuw.event.name
Advances in Materials and Pavement Performance Prediction 2025 (AM3P 2025)
en
tuw.event.startdate
07-05-2025
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tuw.event.enddate
09-05-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Wien
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tuw.event.country
AT
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tuw.event.institution
TU Wien/E230-03
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tuw.event.presenter
Zhao, J.
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tuw.event.track
Multi Track
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wb.sciencebranch
Bauingenieurwesen
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wb.sciencebranch
Verkehrswesen
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wb.sciencebranch.oefos
2011
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wb.sciencebranch.oefos
2013
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wb.sciencebranch.value
30
-
wb.sciencebranch.value
70
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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item.cerifentitytype
Publications
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item.fulltext
with Fulltext
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item.languageiso639-1
en
-
item.grantfulltext
open
-
item.openairetype
conference paper
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crisitem.author.dept
Technische Universität Dresden, Germany
-
crisitem.author.dept
Technische Universität Dresden, Germany
-
crisitem.author.dept
Technische Universität Dresden, Germany
-
crisitem.author.dept
Technische Universität Dresden, Germany
-
crisitem.author.dept
Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences, Germany