Detecting Cross-Sectional Degradation in TRC Elements by Advanced TDR Technique

This study explores the capability of smart self-sensory carbon-based Textile Reinforced Concrete (TRC) elements to locate and detect cross-sectional degradation. The concept involves connecting carbon yarns into electrical circuits using Time Domain Reflectometry (TDR) technique to measure electrical changes caused by wetting events. To detect cross-sectional degradation, the monitoring approach compares measurements from the current wetting event to those of a healthy reference measurement. The study presents the capability of the new monitoring concept by experimental investigation. It is demonstrated that the smart sensory carbon yarns successfully detect the location and estimate degradation of the cross-section of the elements.

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Published
2025-09-09
DOI
https://doi.org/10.12783/shm2025/37346
Primary Topic
Geophysical Methods and Applications
Type
article
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article

Detecting Cross-Sectional Degradation in TRC Elements by Advanced TDR Technique

YISKA GOLDFELD, MAHDI GABEN
Geophysical Methods and Applications
article

Detecting Cross-Sectional Degradation in TRC Elements by Advanced TDR Technique

YISKA GOLDFELD, MAHDI GABEN
article en

Abstract

This study explores the capability of smart self-sensory carbon-based Textile Reinforced Concrete (TRC) elements to locate and detect cross-sectional degradation. The concept involves connecting carbon yarns into electrical circuits using Time Domain Reflectometry (TDR) technique to measure electrical changes caused by wetting events. To detect cross-sectional degradation, the monitoring approach compares measurements from the current wetting event to those of a healthy reference measurement. The study presents the capability of the new monitoring concept by experimental investigation. It is demonstrated that the smart sensory carbon yarns successfully detect the location and estimate degradation of the cross-section of the elements.

Braude College of Engineering Karmiel (IL), University of Haifa (IL)
Openalex Percentile: Top 64%
Geophysical Methods and Applications
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