Hybrid machine learning and 3D numerical modeling-based multi-objective optimization of geosynthetic-reinforced pile-supported embankments

Ammar Alnmr, Rashad Alsirawan, Haidar Hosamo, Edina Koch, Ali Tawalo, Ola Ismail, Yazid Chetbani

Open source

DOI: 10.3389/fbuil.2026.1829950
Published: 2026-06-24
Container: Frontiers in Built Environment
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fbuil.2026.1829950,
  title = {Hybrid machine learning and 3D numerical modeling-based multi-objective optimization of geosynthetic-reinforced pile-supported embankments},
  author = {Ammar Alnmr and Rashad Alsirawan and Haidar Hosamo and Edina Koch and Ali Tawalo and Ola Ismail and Yazid Chetbani},
  year = {2026},
  journal = {Frontiers in Built Environment},
  doi = {10.3389/fbuil.2026.1829950},
  url = {https://doi.org/10.3389/fbuil.2026.1829950}
}

RIS

TY  - JOUR
TI  - Hybrid machine learning and 3D numerical modeling-based multi-objective optimization of geosynthetic-reinforced pile-supported embankments
AU  - Ammar Alnmr
AU  - Rashad Alsirawan
AU  - Haidar Hosamo
AU  - Edina Koch
AU  - Ali Tawalo
AU  - Ola Ismail
AU  - Yazid Chetbani
PY  - 2026
JO  - Frontiers in Built Environment
DO  - 10.3389/fbuil.2026.1829950
UR  - https://doi.org/10.3389/fbuil.2026.1829950
ER  -

APA

Alnmr, A., Alsirawan, R., Hosamo, H., Koch, E., Tawalo, A., Ismail, O., & Chetbani, Y. (2026). Hybrid machine learning and 3D numerical modeling-based multi-objective optimization of geosynthetic-reinforced pile-supported embankments. Frontiers in Built Environment. https://doi.org/10.3389/fbuil.2026.1829950

Source records

crossref · retrieved 2026-09-25T22:17:28.878Z