Fast geometric factor approximation to evaluate the electrical resistivity of concrete and reinforced concrete specimens using neural network models

Wael Karam, Yann Lecieux, Mathilde Chevreuil, Franck Schoefs

Open source

DOI: 10.1051/matecconf/202540912001
Published: 2025
Container: MATEC Web of Conferences
Publisher: EDP Sciences
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1051/matecconf/202540912001,
  title = {Fast geometric factor approximation to evaluate the electrical resistivity of concrete and reinforced concrete specimens using neural network models},
  author = {Wael Karam and Yann Lecieux and Mathilde Chevreuil and Franck Schoefs},
  year = {2025},
  journal = {MATEC Web of Conferences},
  doi = {10.1051/matecconf/202540912001},
  url = {https://doi.org/10.1051/matecconf/202540912001}
}

RIS

TY  - JOUR
TI  - Fast geometric factor approximation to evaluate the electrical resistivity of concrete and reinforced concrete specimens using neural network models
AU  - Wael Karam
AU  - Yann Lecieux
AU  - Mathilde Chevreuil
AU  - Franck Schoefs
PY  - 2025
JO  - MATEC Web of Conferences
DO  - 10.1051/matecconf/202540912001
UR  - https://doi.org/10.1051/matecconf/202540912001
ER  -

APA

Karam, W., Lecieux, Y., Chevreuil, M., & Schoefs, F. (2025). Fast geometric factor approximation to evaluate the electrical resistivity of concrete and reinforced concrete specimens using neural network models. MATEC Web of Conferences. https://doi.org/10.1051/matecconf/202540912001

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crossref · retrieved 2026-09-26T04:49:56.759Z