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GPR Integrated Analysis and Numerical Models to Characterize Cracks in Concrete Specimens: A Civil Engineering Case Study
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DOI：10.1109/jsen.2026.3706439.png)
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Abstract
En 中文
Ground-penetrating radar (GPR) is widely used in civil engineering for nondestructive testing of reinforced concrete structures. Monitoring these structures with GPR is essential for ensuring their safety and integrity. In this study, we conducted laboratory experiments on a simply supported reinforced concrete beam under sustained loading to track crack development using GPR. A new approach combining an alignment scheme, image entropy analysis, and the sparse S-transform is introduced to interpret GPR signals under different loading stages. Based on the experimental results, we developed an empirical equation that combines linear, exponential, and harmonic terms to describe the observed crack patterns. Corresponding dielectric models for finite-difference time-domain (FDTD) simulations were also created. Both field data and FDTD simulations confirmed the effectiveness of the proposed method, offering a novel way to analyze cracks and providing theoretical support for future applications of deep learning in structural inspection.
Keywords:
Adaptive sparse S-transform (ASST)
crack measurement
empirical formula for crack patterns
finite-difference time-domain (FDTD)
ground-penetrating radar (GPR)
image entropy
incremental loading
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4.5
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2.1W
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7.3W
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