Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms
https://orcid.org/0000-0003-2469-9998
https://orcid.org/0009-0005-6557-5571
https://orcid.org/0000-0002-1942-7915
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms
https://orcid.org/0000-0003-2469-9998
https://orcid.org/0009-0005-6557-5571
https://orcid.org/0000-0002-1942-7915
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms
https://orcid.org/0000-0003-2469-9998
https://orcid.org/0009-0005-6557-5571
https://orcid.org/0000-0002-1942-7915
Predicting the small strain shear modulus of sands and sand-fines binary mixtures using machine learning algorithms
Transportation Geotechnics
Khodkari, Naser (Autor:in) / Hamidian, Pouria (Autor:in) / Khodkari, Homayoun (Autor:in) / Payan, Meghdad (Autor:in) / Behnood, Ali (Autor:in)
Transportation Geotechnics ; 44 ; 101172
01.01.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Influence of size disparity on small-strain shear modulus of sand-fines mixtures
| British Library Online Contents | 2018
Influence of size disparity on small-strain shear modulus of sand-fines mixtures
| British Library Online Contents | 2018
Predicting the Maximum Shear Modulus of Sands Containing Nonplastic Fines
| British Library Online Contents | 2017
Predicting the Maximum Shear Modulus of Sands Containing Nonplastic Fines
| Online Contents | 2017