Dehghanbanadaki, A., & Motamedi, S. (2023). Bearing capacity prediction of shallow foundation on sandy soils: a comparative study of analytical, FEM, and machine learning approaches. Multiscale and Multidisciplinary Modeling, Experiments and Design, 1-18. https://doi.org/10.1007/s41939-023-00280-8
ISO-690 (author-date, English)DEHGHANBANADAKI, Ali and MOTAMEDI, Shervin, 2023. Bearing capacity prediction of shallow foundation on sandy soils: a comparative study of analytical, FEM, and machine learning approaches. Multiscale and Multidisciplinary Modeling, Experiments and Design. 21 November 2023. P. 1-18. DOI 10.1007/s41939-023-00280-8.
Modern Language Association 9th editionDehghanbanadaki, A., and S. Motamedi. “Bearing Capacity Prediction of Shallow Foundation on Sandy Soils: A Comparative Study of Analytical, FEM, and Machine Learning Approaches”. Multiscale and Multidisciplinary Modeling, Experiments and Design, Nov. 2023, pp. 1-18, https://doi.org/10.1007/s41939-023-00280-8.
Mohr Siebeck - Recht (Deutsch - Österreich)Dehghanbanadaki, Ali/Motamedi, Shervin: Bearing capacity prediction of shallow foundation on sandy soils: a comparative study of analytical, FEM, and machine learning approaches, Multiscale and Multidisciplinary Modeling, Experiments and Design 2023, 1-18.
Emerald - HarvardDehghanbanadaki, A. and Motamedi, S. (2023), “Bearing capacity prediction of shallow foundation on sandy soils: a comparative study of analytical, FEM, and machine learning approaches”, Multiscale and Multidisciplinary Modeling, Experiments and Design, pp. 1-18.