Data-driven optimization and pressuremeter modulus prediction using response surface methodology for smarter geotechnical design.
- DOI
- 10.1038/s41598-026-36262-2
- Published
- 2026 Jan 19
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-36262-2,
title = {Data-driven optimization and pressuremeter modulus prediction using response surface methodology for smarter geotechnical design.},
author = {Boukhatem G and Bencheikh M and Bekkouche SR and Kırgız MS and Manikandan D and Krishnaraj R},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-36262-2},
url = {https://doi.org/10.1038/s41598-026-36262-2}
}RIS
TY - JOUR TI - Data-driven optimization and pressuremeter modulus prediction using response surface methodology for smarter geotechnical design. AU - Boukhatem G AU - Bencheikh M AU - Bekkouche SR AU - Kırgız MS AU - Manikandan D AU - Krishnaraj R PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-36262-2 UR - https://doi.org/10.1038/s41598-026-36262-2 ER -
APA
G, B., M, B., SR, B., MS, K., D, M., & R, K. (2026). Data-driven optimization and pressuremeter modulus prediction using response surface methodology for smarter geotechnical design.. Scientific reports. https://doi.org/10.1038/s41598-026-36262-2
Source records
- pubmed · retrieved 2026-09-25T20:05:51.033Z