Fast geometric factor approximation to evaluate the electrical resistivity of concrete and reinforced concrete specimens using neural network models
The measurement of electrical resistivity has applications in civil engineering, particularly in condition assessment, structural health monitoring, and material characterization. Accurately evaluating material resistivity requires determining a geometric factor, which depends on specimen geometry,...
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| Main Authors: | Karam Wael, Lecieux Yann, Chevreuil Mathilde, Schoefs Franck |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | MATEC Web of Conferences |
| Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2025/03/matecconf_cs2025_12001.pdf |
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