DETECTING DAMAGED ZONES ALONG SMART SELFSENSORY CARBON BASED TRC BY TDR

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dc.contributor.authorGABEN, MAHDI
dc.contributor.authorGOLDFELD, YISKA
dc.contributor.organizationTechnická univerzita v Liberci
dc.date.accessioned2023-04-19T09:20:49Z
dc.date.available2023-04-19T09:20:49Z
dc.description.abstractThe study aims to investigate the ability of smart self-sensory carbon roving to detect damaged zones in TRC structures. State of the art monitoring procedures are based on integrative measurements and accordingly are limited in detecting only the occurrence of damage. This study aims to handle this limitation and offers to adopt the Time Domain Reflectometer (TDR) technique. The TDR concept is widely used in Bayonet Nut Coupling (BNC) cables to identify defects along the cable (opens, shorts, etc.). The current study adopts its principle to carbon rovings. To simulate the BNC cable configuration, the study offers to connect two parallel carbon rovings to the TDR Data Acquisition (DAQ) system. The proposed monitoring technique is investigated by loading two textile reinforced MPC beams under uniaxial tensile loading. Results show the potential of the suggested technique to locate damage zones in TRC structures and highlights its limitation.cs
dc.formattext
dc.format.extent7 stran
dc.identifier.doi10.15240/tul/008/2023-1-009
dc.identifier.issn1335-0617
dc.identifier.urihttps://dspace.tul.cz/handle/15240/167238
dc.language.isocscs
dc.publisherTechnical University of Liberec
dc.publisher.abbreviationTUL
dc.relation.isbasedonChristner, C., Horoschenkoff, A., Rapp, H., (2012). Longitudinal and transvers strain sensitivity of embedded carbon fiber sensors, Journal of Composite Materials. 47 (2), 155-167 https://doi.org/10.1177/0021998312437983
dc.relation.isbasedonDe Andrade Silva, F., Butler, M., Mechtcherine, V., Zhu, D., Mobasher, B., (2011). Strain rate effect on the tensile behavior of textile-reinforced concrete under static and dynamic loading. Materials Science and Engineering: A, 528(3), 1727-1734. http://dx.doi.org/10.1016/j.msea.2010.11.014
dc.relation.isbasedonEn, B. S., (2005). 196-1. (2005). Methods of testing cement. Determination of strength. British Standards Institute.
dc.relation.isbasedonGaben, M., Goldfeld, Y., (2022). Enhanced self-sensory measurements for smart carbon-based textile reinforced cement structures. submitted for publication. https://doi.org/10.1016/j.measurement.2023.112546
dc.relation.isbasedonGaben, M., Goldfeld, Y., (2022). Self-sensory carbonbased textile reinforced concrete beams– Characterization of the structural-electrical response by AC measurements. Sensors and ctuators A: Physical, 334, 113322. https://doi.org/10.1016/j.sna.2021.113322
dc.relation.isbasedonGoldfeld, Y., Perry, G., (2018). Electrical characterization of smart sensory system using carbon based textile reinforced concrete for leakage detection. Materials and Structures, 51(6), 170. http://dx.doi.org/10.1617/s11527-018-1296-7
dc.relation.isbasedonGoldfeld, Y., Yosef, L., (2019). Sensing accumulated cracking with smart coated and uncoated carbon based TRC, Measurement. 141, 137-151. https://doi.org/10.1016/j.measurement.2019.04.033
dc.relation.isbasedonHäußler-Combe, U., Hartig, J., (2007). Bond and failure mechanisms of textile reinforced concrete (TRC) under uniaxial tensile loading. Cement and Concrete Composites, 29(4), 279-289. https://doi.org/10.1016/j.cemconcomp.2006.12.012
dc.relation.isbasedonHegger, J., Voss, S., (2008). Investigations on the bearing behavior and application potential of textile reinforced concrete. Engineering Structures, 30, 2050-205. https://doi.org/10.1016/J.ENGSTRUCT.2008.01.006
dc.relation.isbasedonPeled, A., Bentur, A. (2003). Fabric structure and its reinforcing efficiency in textile reinforced cement composites. Composites Part A: Applied Science and Manufacturing, 34(2), 107-118. https://doi.org/10.1016/S1359-835X(03)00003-4
dc.relation.isbasedonPerry, G., Dittel, G., Gries, T., Goldfeld, Y., (2021). Monitoring capabilities of various smart self sensory carbon-based textiles to detect water infiltration. Journal of Intelligent Material Systems and Structures, 1045389X211006901. https://doi.org/10.1177/1045389X211006901
dc.relation.isbasedonQuadflieg, T., Stolyarov, O., Gries, T., (2016). Carbon rovings as strain sensors for structural health monitoring of engineering materials and structures. Journal of strain analysis for engineering design, 51(7), 482-492. https://doi.org/10.1177/0309324716655058
dc.relation.isbasedonShames, A., Horstmann, M., Hegger, J., (2014). Experimental investigations on Textile-Reinforced Concrete (TRC) sandwich sections. Composite Structures, 118, 643-653. http://dx.doi.org/10.1016/j.compstruct.2014.07.056
dc.relation.isbasedonSoranakom, C., Mobasher, B., (2009). Geometrical and mechanical aspects of fabric bonding and pullout in cement composites. Materials and structures, 42(6), 765- 777. http://dx.doi.org/10.1617/s11527-008-9422-6
dc.relation.isbasedonWen, S., Wang, S., Chung, D. D. L., (1999). Carbon fiber structural composites as thermistors. Sensors and Actuators A: Physical, 78(2-3), 180-188. https://doi.org/10.1016/S0924-4247(99)00240-X
dc.relation.isbasedonYosef, L., Goldfeld, Y., (2020). Smart self-sensory carbonbased textile reinforced concrete structures for structural health monitoring. Structural Health Monitoring, 1475921720951122. https://doi.org/10.1177/1475921720951122
dc.relation.ispartofFibres and Textiles
dc.subjectTime domain reflectometercs
dc.subjectSmart carbon rovingscs
dc.subjectAC measurementscs
dc.subjectCrack identification techniquecs
dc.titleDETECTING DAMAGED ZONES ALONG SMART SELFSENSORY CARBON BASED TRC BY TDRen
dc.typeArticleen
local.accessopen access
local.citation.epage60
local.citation.spage54
local.facultyFaculty of Textile Engineeringen
local.fulltextyesen
local.relation.issue1
local.relation.volume30
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