Ensemble machine learning for predicting flexural capacity of FRCM-strengthened RC beams.

Sharma A, Debnath R, Thadani S, A S, G RR, S E

DOI: 10.1038/s41598-026-54521-0
Published: 2026 Jun 26
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-54521-0,
  title = {Ensemble machine learning for predicting flexural capacity of FRCM-strengthened RC beams.},
  author = {Sharma A and Debnath R and Thadani S and A S and G RR and S E},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-54521-0},
  url = {https://doi.org/10.1038/s41598-026-54521-0}
}

RIS

TY  - JOUR
TI  - Ensemble machine learning for predicting flexural capacity of FRCM-strengthened RC beams.
AU  - Sharma A
AU  - Debnath R
AU  - Thadani S
AU  - A S
AU  - G RR
AU  - S E
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-54521-0
UR  - https://doi.org/10.1038/s41598-026-54521-0
ER  -

APA

A, S., R, D., S, T., S, A., RR, G., & E, S. (2026). Ensemble machine learning for predicting flexural capacity of FRCM-strengthened RC beams.. Scientific reports. https://doi.org/10.1038/s41598-026-54521-0

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pubmed · retrieved 2026-09-25T22:23:56.523Z