Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model

AuthID
 P-00Y-BHY
6
Author(s)
Zeini, HA
·
Lwti, NK
·
Imran, H
·
Henedy, SN
·
Al-Khafaji, Z
Tipo de Documento
Article
Year published
2023
Publicado
in APPLIED SCIENCES-BASEL, ISSN: 2076-3417
Volume: 13, Número: 8, Páginas: 5131 (16)
Indexing
Wos®
Scopus®
Crossref®3
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85156105976
Wos: WOS:000977568600001
Source Identifiers
ISSN: 2076-3417
Export Publication Metadata
Lista Marked
 Adicionar à lista Marked
Info
At this moment we don't have any links to full text documens.

Um espaço para investigadores e suas Instituições

Links Úteis

Ajuda

© 2024 CRACS & Inesc TEC - All Rights Reserved Política de Privacidade | Terms of Service