Predicting the compressive strength of sustainable concrete with recycled foundry sand using advanced soft computing methods.
- DOI
- 10.1038/s41598-026-59765-4
- Published
- 2026-07-11
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-59765-4,
title = {Predicting the compressive strength of sustainable concrete with recycled foundry sand using advanced soft computing methods.},
author = {Ghamari AK and Seyedkazemi A and Jahangir S and Soleimani Kutanaei S.},
year = {2026},
journal = {Sci Rep},
doi = {10.1038/s41598-026-59765-4},
url = {https://doi.org/10.1038/s41598-026-59765-4}
}RIS
TY - JOUR TI - Predicting the compressive strength of sustainable concrete with recycled foundry sand using advanced soft computing methods. AU - Ghamari AK AU - Seyedkazemi A AU - Jahangir S AU - Soleimani Kutanaei S. PY - 2026 JO - Sci Rep DO - 10.1038/s41598-026-59765-4 UR - https://doi.org/10.1038/s41598-026-59765-4 ER -
APA
AK, G., A, S., S, J., & S., S. K. (2026). Predicting the compressive strength of sustainable concrete with recycled foundry sand using advanced soft computing methods.. Sci Rep. https://doi.org/10.1038/s41598-026-59765-4
Source records
- europe-pmc · retrieved 2026-09-26T09:20:36.866Z