Simulation based development of profiled carbon rovings for concrete reinforcements
Data
2022
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
Textile reinforcements are increasingly establishing their position in the building industry due to their
high tensile properties and corrosion resistance. However, in contrast to ribbed monolithic steel bars
with a defined form fit effect, the bond force of conventional carbon rovings are transmitted primarily
by an adhesive bond (material fit) between the textile surface and the surrounding concrete matrix.
Hence, relatively large bonding lengths are needed to transmit the bond forces, which results in an
inefficient material utilization. New solutions involving tetrahedral profiled rovings and braided yarns
promise significant improvements in the bonding behavior of textile reinforcements by creating an
additional mechanical interlock with the concrete matrix, yet maintaining the high tensile properties of
the carbon fibers. In order to increase the transmittable bond force and bond stiffness of the profiled
rovings through a defined roving geometry, a simulation-based development was conducted. Hereby
geometry and material models were developed and tensile tests as well as pull-out tests were simulated.
The results of simulation and characterization enable the optimization of the geometry parameters of the
tetrahedral profiled rovings and braided yarns to achieve better bond and tensile properties.
Opis
Słowa kluczowe
carbon reinforced concrete, bond behavior, bond simulation, profiled roving, braided yarns, beton zbrojony węglem, zachowanie wiązania, symulacja wiązania, rowing profilowany, przędza pleciona
Cytowanie
Penzel P., Seidel J., Lang T.G., Hahn L., Cherif Ch., Mechtcherine V., Simulation based development of profiled carbon rovings for concrete reinforcements. W: AUTEX 2022 : 21st World Textile Conference AUTEX 2022 - AUTEX Conference Proceedings, Lodz University of Technology Press, Lodz 2022, s. 538-542, ISBN 978-83-66741-75-1, doi: 10.34658/9788366741751.114.