Two-Dimensional Crack Monitoring in Concrete Structures Using Conductive Grid Patterns and Inverse Analysis: Theoretical Investigation

Abstract This study proposes a two-dimensional crack monitoring system for concrete structures based on a conductive grid-patterned coating and an inverse analysis framework. The sensing domain is discretized into a grid-based resistance network, enabling the efficient estimation of internal conductivity changes from boundary voltage measurements. Numerical simulations demonstrate that the proposed method can accurately detect and localize crack damage while exhibiting a conservative detection characteristic that avoids missing actual damage. For multiple damage cases, a smearing effect is observed due to the ill-posed nature of the inverse problem. To address this limitation, a two-step selective parameter updating technique is introduced, which significantly improves localization accuracy by reducing the number of unknowns. The results confirm that the proposed approach provides a practical and scalable solution for two-dimensional crack monitoring, while maintaining robust performance under complex damage conditions.

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Publication Details

Journal
International Journal of Concrete Structures and Materials
Published
2026-09-30
DOI
https://doi.org/10.1186/s40069-026-00955-9
Primary Topic
Smart Materials for Construction
Type
article
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Two-Dimensional Crack Monitoring in Concrete Structures Using Conductive Grid Patterns and Inverse Analysis: Theoretical Investigation

안은종, Dokeun Lee, Kyung-Joon Shin, Wooseok Kim et al.
International Journal of Concrete Structures and Materials
Smart Materials for Construction
article

Two-Dimensional Crack Monitoring in Concrete Structures Using Conductive Grid Patterns and Inverse Analysis: Theoretical Investigation

안은종, Dokeun Lee, Kyung-Joon Shin, Wooseok Kim, Moe Pourghaz
article en

Abstract

Abstract This study proposes a two-dimensional crack monitoring system for concrete structures based on a conductive grid-patterned coating and an inverse analysis framework. The sensing domain is discretized into a grid-based resistance network, enabling the efficient estimation of internal conductivity changes from boundary voltage measurements. Numerical simulations demonstrate that the proposed method can accurately detect and localize crack damage while exhibiting a conservative detection characteristic that avoids missing actual damage. For multiple damage cases, a smearing effect is observed due to the ill-posed nature of the inverse problem. To address this limitation, a two-step selective parameter updating technique is introduced, which significantly improves localization accuracy by reducing the number of unknowns. The results confirm that the proposed approach provides a practical and scalable solution for two-dimensional crack monitoring, while maintaining robust performance under complex damage conditions.

International Journal of Concrete Structures and MaterialsVol. 20(1)
Sustainable cities and communities
Openalex Percentile: Top 23%
Smart Materials for Construction
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